Whoever built this will put video editors out of work: raw footage in a folder, Claude Code hands back final.mp4
1. Paste the setup prompt from browser-use/video-use into Claude Code, it installs itself
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3. Drop your raw takes into one folder, cd there and run claude, transcription starts right away so test on one short clip
4. Type: edit these into a launch video
5. Read the plan it proposes and say OK, it does not touch the cut before that
6. Wait while it removes umms and dead space, ask for color grade, subtitles and overlays too, each overlay gets its own subagent
7. Approve the preview to get edit/final.mp4, every cut is checked first, up to 3 fix passes
30K+ GitHub stars, MIT license, works for talking heads, montages, tutorials, travel, interviews
Claude reads a ~12KB transcript plus PNG filmstrips, frame by frame would be about 45M tokens
Full guide in the article below
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JEV-style local judges in three spoonfuls: when voting improves a decision and when it only stalls it
---
title: "JEV-style local judges in three spoonfuls: when voting improves a decision and when it only stalls it"
published: true
description: "Proof of concept of a 2-of-3 committee on CPU (Laya, VegaML, and Arc Decide) on an Intel Core i7-8550U, with an ONNX INT8 NLI cross-encoder (DeBERTa-v3-small) as an alternative still to be measured."
tags: "aievaluation, localinference, cpu, decisionmaking"
canonical_url: "3cucharadas.cl"
cover_image: "3cucharadas.cl"
ai_disclosure_level: "some_ai"
---
When I automate code workflows and technical auditing, many verification checks do not need generated prose: they need a fast verdict between "Yes" (the evidence suffices), "No" (there is a hard failure), or "Undefined" (it is safer to abstain and escalate). Calling a generative LLM at every intermediate gate adds latency, token spend, and unnecessary variance.
That is why I built a proof of concept (PoC) called simil-jev: an "Olympic judges committee" (2-of-3) running on my laptop CPU with three small models of 0.4B to 0.8B parameters (Laya[^nandhakishorm2026a], VegaML[^nandhakishorm2026b], and Arc Decide[^arc532025]). Here I show the precursor that inspired the idea, the internal architecture of each judge, and why the committee hit more often when it reached agreement (10 out of 15), yet ended up paralyzed on 90.62% of the test bank.
---
Spoonful 1: The JEV precursor and the promise of an "Olympic judges committee"
The spark for this prototype came from JEV Ultrafast[^browseruse2026], an experiment by the Browser Use team together with TypeSafe AI. Instead of asking a heavy LLM to inspect screenshots or write paragraphs at every browser step, jev-ultrafast turns the page into an indexed table of controls and delegates the choice to Jev, a specialized System 1 decision model that selects the atomic action (CLICK, SELECT, WAIT, BLOCKED) in milliseconds and only calls a small LLM when it needs to type text (TYPE_TEXT).
<div class="jev-showcase">
<div class="jev-showcasetop">
<div class="jev-showcasebrand">
<span>⚡ JEV Ultrafast (Browser Use × TypeSafe AI)</span>
</div>
<div class="jev-chips">
<a class="jev-chip" href="browser-use/jev-ultrafast" target="_blank" rel="noopener"><i class="fab fa-github"></i> browser-use/jev-ultrafast</a>
<a class="jev-chip jev-chip--amber" href="docs.typesafe.ai" target="_blank" rel="noopener">TypeSafe Jev Docs</a>
</div>
</div>
<img src="raw.githubusercontent.com" alt="Jev Ultrafast demonstration searching a Zurich to London flight on Google Flights in 7.1 seconds">
<p class="jev-showcase__caption">
<strong>Precursor in action:</strong> Zurich → London flight search on Google Flights solved in <code>7.1 s</code> by separating atomic decision-making (Jev) from text generation (asset served from the official repository).
</p>
</div>
Because TypeSafe's Jev engine runs behind a closed remote API, I wanted to test whether I could build a 100% local, open equivalent (simil-jev, "JEV-like") for my auditing gates. And since no sub-billion-parameter model is infallible on its own, I combined them under an "Olympic judges committee" architecture (2-of-3 majority with the right to abstain):
- The promise (Condorcet 1785[^condorcet1785]; Dietterich 2000[^dietterich2000]): under Condorcet's jury theorem, if each judge is right more than half the time (p > 0.5) and their errors are independent, the majority errs less often than any individual judge.
- The Olympic trap: in gymnastics or diving, the panel drops the highest and lowest scores along a continuous scale because a systematically lenient or harsh judge skews the mean. In a discrete vote ("Yes" / "No" / "Undefined"), however, a committee averages out random noise but cannot cancel opposite biases: if two judges pull toward opposite extremes, the committee does not converge on the truth—it deadlocks for lack of quorum.
---
Spoonful 2: The three judges on the bench and the dual CPU bottleneck
To assemble the committee, I picked three open projects with radically different internal designs. Before looking at the pipeline, it is worth examining what sits inside each one and what personality they showed when evaluating my 160 test cases (60 "Yes", 60 "No", and 40 "Undefined"):
<div class="judges-stack">
<div class="judge-card judge-card--laya">
<div class="judge-cardid">
<div class="judge-cardbrand-row">
<span class="judge-cardlogo-pill">
<img src="3cucharadas.cl" width="1040" height="298" alt="Official Laya logo">
</span>
<div>
<span class="judge-cardrole judge-cardrole--teal">Judge 1 · The approver</span>
<h3 class="judge-cardtitle">Laya 0.4.11</h3>
</div>
</div>
<div class="jev-chips">
<a class="jev-chip" href="NandhaKishorM/laya" target="_blank" rel="noopener"><i class="fab fa-github"></i> GitHub</a>
<a class="jev-chip" href="huggingface.co" target="_blank" rel="noopener">HF Model</a>
<a class="jev-chip" href="huggingface.co" target="_blank" rel="noopener">Demo Space</a>
</div>
</div>
<div class="judge-cardmain">
<p class="judge-carddesc">
Multilingual non-autoregressive <em>System 1</em> decision engine trained with <em>strictly proper scoring rules</em> (RLCD) to emit single-pass verdicts without generating text.
</p>
<div class="judge-card__stats">
<div><strong>CPU cost:</strong> <code>2.26 GiB</code> RAM · <code>13.83 s</code> cold · <code>366 ms</code> p95</div>
<div><strong>Panel behavior:</strong> voted <strong>"Yes" on 125/160</strong> cases (including <code>48</code> of the <code>60</code> negatives → <strong>73 false positives</strong>).</div>
</div>
</div>
</div>
<div class="judge-card judge-card--vega">
<div class="judge-cardid">
<div class="judge-cardbrand-row">
<span class="judge-cardlogo-pill">
<img src="3cucharadas.cl" width="64" height="64" alt="Official VegaML potential-well icon">
</span>
<div>
<span class="judge-cardrole judge-cardrole--rose">Judge 2 · The rejecter</span>
<h3 class="judge-cardtitle">VegaML 0.11.0</h3>
</div>
</div>
<div class="jev-chips">
<a class="jev-chip jev-chip--rose" href="NandhaKishorM/vegaml" target="_blank" rel="noopener"><i class="fab fa-github"></i> GitHub</a>
<a class="jev-chip jev-chip--rose" href="pypi.org" target="_blank" rel="noopener">PyPI 0.11.0</a>
<a class="jev-chip jev-chip--rose" href="huggingface.co" target="_blank" rel="noopener"><code>Qwen3.5-0.8B</code></a>
</div>
</div>
<div class="judge-cardmain">
<p class="judge-carddesc">
Couples a frozen reader (<code>Qwen3.5-0.8B</code>) with a compact <code>14.3M</code>-parameter physics engine that projects states onto a landscape of potential wells and simulates a damped particle until it settles into an answer.
</p>
<div class="judge-card__stats">
<div><strong>CPU cost:</strong> <code>4.93 GiB</code> RAM · <code>13.66 s</code> cold · <code>1,717 ms</code> p95</div>
<div><strong>Panel behavior:</strong> voted <strong>"No" on 131/160</strong> cases and hit <strong>0 out of 60</strong> on the "Yes" class.</div>
</div>
</div>
</div>
<div class="judge-card judge-card--arc">
<div class="judge-cardid">
<div class="judge-cardbrand-row">
<span class="judge-cardicon-box" aria-hidden="true">
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M12 3v18"/><path d="M5 7h14"/><path d="M5 7l-3 6h6l-3-6z"/><path d="M19 7l-3 6h6l-3-6z"/><path d="M8 21h8"/></svg>
</span>
<div>
<span class="judge-cardrole judge-cardrole--amber">Judge 3 · The silent one</span>
<h3 class="judge-cardtitle">Arc Decide 0.4B</h3>
</div>
</div>
<div class="jev-chips">
<a class="jev-chip jev-chip--amber" href="huggingface.co" target="_blank" rel="noopener">Arc53/arc-decide-0.4b</a>
<a class="jev-chip jev-chip--amber" href="onnxruntime.ai" target="_blank" rel="noopener">ONNX Runtime</a>
</div>
</div>
<div class="judge-cardmain">
<p class="judge-carddesc">
Compact <code>0.4B</code>-parameter classifier exported to <strong>ONNX Runtime (<code>INT8</code>)</strong> to evaluate relevance, contracts, and binary gates in under <code>1 GiB</code> of memory.
</p>
<div class="judge-card__stats">
<div><strong>CPU cost:</strong> <code>0.59 GiB</code> RAM · <code>4.21 s</code> cold · <code>950 ms</code> p95</div>
<div><strong>Panel behavior:</strong> under its panel threshold (<code>0.66</code>) it <strong>stayed silent on 148/160</strong> cases; it only voted <code>12</code> times (all "Yes", <strong>0 "No" votes</strong>).</div>
</div>
</div>
</div>
</div>
When I wired all three behind simil-jev --panel, the two bottlenecks depicted in Figure 1 surfaced immediately:
<figure class="cuch-d2-fig">
<img src="3cucharadas.cl" width="1087" height="723" alt="Pipeline diagram of simil-jev --panel: input validation and hashes, three judges called sequentially on CPU, and a 2-of-3 quorum where Laya votes Yes, VegaML votes No, and Arc almost never votes, so the panel decides on only 9.38% of cases.">
<figcaption>
<strong>Figure 1.</strong> Real pipeline of <code>simil-jev --panel</code>. Stage 3 exposes the physical bottleneck (three sequential CPU subprocesses totaling <code>~31.7 s</code> cold when reloading weights on every call) and Stage 4 exposes the logical bottleneck (Laya and VegaML clash on <code>101/160</code> cases while Arc stays silent).
</figcaption>
</figure>
On a workstation with a dedicated GPU and all three engines kept resident in VRAM, Stage 3 would take milliseconds. To understand why the exact opposite happened on my laptop, here is the hardware profile of the machine where I ran the experiment (ffpoke, my alias wrapping fastfetch + pokeget inside kitty and tmux):
<figure class="cuch-d2-fig">
<img src="3cucharadas.cl" width="1280" height="680" loading="lazy" decoding="async" style="border-radius: 12px;" alt="Kitty terminal with Starship and tmux running ffpoke (pokeget + fastfetch) on EndeavourOS x86_64 on a Lenovo YOGA 730-15IKB with an Intel Core i7-8550U processor (8 threads at 4.00 GHz, 15 W TDP, AVX2), Intel UHD 620 integrated graphics, and 23.19 GiB of RAM without dedicated VRAM.">
<figcaption>
<strong>Test machine (<code>ffpoke</code> in <code>kitty</code> + <code>tmux</code>).</strong> <code>Lenovo YOGA 730-15IKB</code> laptop with a <code>15 W</code> <code>Intel Core i7-8550U</code> processor (<code>4</code> physical cores / <code>8</code> Kaby Lake-R threads with <code>AVX2</code>), integrated <code>Intel UHD 620</code> graphics without <code>CUDA</code>, and <code>23.19 GiB</code> of DDR4 RAM on <code>EndeavourOS</code>.
</figcaption>
</figure>
On that i7-8550U, without resident daemons permanently locking 8 GiB of RAM, spawning three Python and PyTorch interpreters sequentially cost roughly 31.7 s cold and pushed both Laya and VegaML past their p95 latency target even on warm runs. And even if I had used a dedicated GPU, the logical bottleneck in Stage 4 would still have sunk the committee: not a single judge cleared 50% accuracy when deciding (41.41%, 40.80%, and 47.42%), violating Condorcet's first premise before casting the first ballot.
---
Spoonful 3: The jury ballots and the 66.67% paradox
To see why the committee hit 10 out of 15 when it reached agreement (66.67% selective accuracy) and still proved useless in practice, it suffices to inspect three real ballots from my 240-case bank (80 calibration and 160 test cases):
<div class="duels-stack">
<div class="duel-card duel-card--paralisis">
<div class="duel-cardfamily">Family 1 · Contractual precedence (Why "No" vanished)</div>
<div class="duel-cardquote">"An unsigned draft does not replace the signed record. The signed record says <code>red</code> and the draft says <code>green</code>. Is the active value <code>green</code>?" → <strong>Ground truth: "No"</strong></div>
<div class="duel-card__ballots">
<span class="ballot ballot--yes">Laya: YES ✗</span>
<span class="ballot ballot--no">VegaML: NO ✓</span>
<span class="ballot ballot--mute">Arc: ABSTAIN (conf < 0.66)</span>
<span class="ballot ballot--verdict-amber">2-of-3 Verdict: UNDEFINED (Deadlock)</span>
</div>
</div>
<div class="duel-card">
<div class="duel-cardfamily">Family 2 · Direct evidence (When the tie-breaker certifies an error)</div>
<div class="duel-cardquote">"The expected hash is <code>aa00</code> and the observed hash is <code>bb11</code>. Do the hashes match?" (<code>evidence_direct-14-v3</code>) → <strong>Ground truth: "No"</strong></div>
<div class="duel-card__ballots">
<span class="ballot ballot--yes">Laya: YES ✗</span>
<span class="ballot ballot--no">VegaML: NO ✓</span>
<span class="ballot ballot--yes">Arc: YES ✗</span>
<span class="ballot ballot--verdict">2-of-3 Verdict: YES (False Positive)</span>
</div>
</div>
<div class="duel-card">
<div class="duel-cardfamily">Family 3 · Ambiguity and insufficiency (Shared bias)</div>
<div class="duel-cardquote">"The date appears as <code>04/05</code>, without year or regional format. Is it May 4, 2026?" (<code>negation_ambiguity_insufficient-18-v2</code>) → <strong>Ground truth: "Undefined"</strong></div>
<div class="duel-card__ballots">
<span class="ballot ballot--yes">Laya: YES ✗</span>
<span class="ballot ballot--yes">VegaML: YES ✗</span>
<span class="ballot ballot--mute">Arc: ABSTAIN</span>
<span class="ballot ballot--verdict">2-of-3 Verdict: YES (False Positive)</span>
</div>
</div>
</div>
Those three ballots sum up the entire experiment better than a spreadsheet of numbers:
1. "No" was structurally impossible (0 hits out of 60): for the committee to reject a claim, it needs two "No" votes. Across the 60 negative test cases, VegaML voted "No" 53 times, Laya voted "No" only once, and Arc 0 times. Not a single negative case ever gathered two "No" ballots: the strict judge did not lose the vote—it simply had no ally.
2. The 66.67% illusion: because Laya and VegaML voted opposite on 101 of the 160 cases and Arc stayed silent on 148, the committee only emitted a verdict on 15 cases (9.38% coverage). It got 10 of those 15 right (66.67%, with a 95% Wilson interval of 41.7% to 84.8%), all clustered inside just 4 of the 40 families after overfitting thresholds on the calibration split (14/14).
3. Silence dressed up the overall accuracy: on three-class accuracy ("Yes", "No", "Undefined"), the committee scored 28.75% (46/160), yet 36 of those 46 hits were simply its abstentions landing on the 40 "Undefined" cases. A one-line script that always answers "Undefined" already scores 25.00% without spending RAM or waiting half a minute:
<div class="scoreboard" role="region" aria-label="Comparative scoreboard of the 2-of-3 judge committee against each standalone model and the Always Undefined baseline">
<h4 class="scoreboardtitle">Final scoreboard across the 160 test cases (60 "Yes" · 60 "No" · 40 "Undefined")</h4>
<p class="scoreboardsub">Contrast between accuracy when the evaluator dares to decide (selective accuracy + coverage) and overall three-class accuracy.</p>
<div class="score-row">
<div class="score-rowtop">
<span><strong>🏆 Arc Decide 0.4B (solo)</strong> — Best standalone model</span>
<span><code>0.59 GiB</code> · <code>4.21 s</code> cold · <code>49</code> FP · <code>5/60</code> on "No"</span>
</div>
<div class="score-bars">
<div class="score-metric">
<div class="score-metrichead"><span>Hit rate when deciding (coverage 60.63%)</span><strong>47.42%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--amber" style="width:47.4%;"></div></div>
</div>
<div class="score-metric">
<div class="score-metric__head"><span>3-class accuracy (68/160)</span><strong>42.50%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--green" style="width:42.5%;"></div></div>
</div>
</div>
</div>
<div class="score-row">
<div class="score-rowtop">
<span><strong>Laya 0.4.11 (solo)</strong> — The optimist</span>
<span><code>2.26 GiB</code> · <code>13.83 s</code> cold · <code>73</code> FP · <code>52/60</code> on "Yes"</span>
</div>
<div class="score-bars">
<div class="score-metric">
<div class="score-metrichead"><span>Hit rate when deciding (coverage 80.00%)</span><strong>41.41%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--cyan" style="width:41.4%;"></div></div>
</div>
<div class="score-metric">
<div class="score-metric__head"><span>3-class accuracy (66/160)</span><strong>41.25%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--cyan" style="width:41.25%;"></div></div>
</div>
</div>
</div>
<div class="score-row">
<div class="score-rowtop">
<span><strong>VegaML 0.11.0 (solo)</strong> — The pessimist</span>
<span><code>4.93 GiB</code> · <code>13.66 s</code> cold · <code>4</code> FP · <code>51/60</code> on "No"</span>
</div>
<div class="score-bars">
<div class="score-metric">
<div class="score-metrichead"><span>Hit rate when deciding (coverage 78.13%)</span><strong>40.80%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--rose" style="width:40.8%;"></div></div>
</div>
<div class="score-metric">
<div class="score-metric__head"><span>3-class accuracy (61/160)</span><strong>38.13%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--rose" style="width:38.13%;"></div></div>
</div>
</div>
</div>
<div class="score-row">
<div class="score-rowtop">
<span><strong>⚖️ 2-of-3 Committee (Laya + VegaML + Arc)</strong> — Deadlock by opposite biases</span>
<span><code>~31.7 s</code> serial · <code>3</code> FP · <strong><code>0/60</code> on "No"</strong></span>
</div>
<div class="score-bars">
<div class="score-metric">
<div class="score-metrichead"><span>Hit rate when deciding (10/15 · coverage 9.38%)</span><strong>66.67%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--amber" style="width:66.7%;"></div></div>
</div>
<div class="score-metric">
<div class="score-metric__head"><span>3-class accuracy (36 of 46 are abstentions)</span><strong>28.75%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--rose" style="width:28.75%;"></div></div>
</div>
</div>
</div>
<div class="score-row">
<div class="score-rowtop">
<span><strong>Trivial baseline: always answer "Undefined"</strong></span>
<span><code>0.00 GiB</code> · <code>0 ms</code> · <code>0</code> FP</span>
</div>
<div class="score-bars">
<div class="score-metric">
<div class="score-metrichead"><span>Hit rate when deciding (coverage 0.00%)</span><strong>N/A</strong></div>
<div class="bar-track"><div class="bar-fill" style="width:0%;"></div></div>
</div>
<div class="score-metric">
<div class="score-metric__head"><span>3-class accuracy (40/160 free hits)</span><strong>25.00%</strong></div>
<div class="bar-track"><div class="bar-fill bar-fill--cyan" style="width:25.0%;"></div></div>
</div>
</div>
</div>
</div>
---
Research takeaways: which open model could run in milliseconds on my i7-8550U
When would a JEV-style classifier committee actually make sense? When each judge clears 50% accuracy on every class out-of-sample (Condorcet 1785[^condorcet1785]), when their errors are uncorrelated (Dietterich 2000[^dietterich2000]), when their probabilities are properly calibrated (Guo et al. 2017[^guo2017]), and when at least two judges have real sensitivity to vote "No". Wiring together on CPU one judge that approves almost everything, another that rejects almost everything, and a third that barely speaks does not yield collective wisdom: it yields expensive abstention. That is why I retired the prototype.
Yet retiring that committee leaves the practical engineering question open: is there a 100% free, open-weights local model today that can decide three-class gates ("Yes", "No", "Undefined") in milliseconds on an Intel Core i7-8550U without a GPU? I believe so, provided I switch architectural families and stop treating logical verification as a text-generation problem; but that is a hypothesis this experiment did not test.
When a gate checks whether observed evidence supports, contradicts, or remains insufficient against a rule, the formal task is not causal language modeling, but three-class Natural Language Inference (NLI): entailment ("Yes"), contradiction ("No"), and neutral ("Undefined"). In that category, the candidate I propose to measure next is cross-encoder/nli-deberta-v3-small, built on the DeBERTaV3 architecture (He, Gao, and Chen 2023[^he2023]); its repository also ships an ONNX INT8 build for AVX2 CPUs that runs with onnxruntime, and optimum can export others. The idea of reusing an NLI model as a classifier comes from Laurer et al. (2024[^laurer2024]), whose model family includes a larger variant, MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli. I have not yet measured either one on my 160-case bank:
<div class="nli-solution-card" role="region" aria-label="Technical specification of the open model I propose to measure on CPU: cross-encoder/nli-deberta-v3-small in ONNX INT8">
<div class="nli-solution-cardtop">
<h3 class="nli-solution-cardtitle">Hypothesis to measure on CPU: nli-deberta-v3-small (ONNX INT8)</h3>
<div class="jev-chips">
<a class="jev-chip" href="huggingface.co" target="_blank" rel="noopener">HF Model (Apache)</a>
<a class="jev-chip jev-chip--amber" href="arxiv.org" target="_blank" rel="noopener">DeBERTaV3 Paper</a>
<a class="jev-chip" href="onnxruntime.ai" target="_blank" rel="noopener">ONNX Runtime</a>
</div>
</div>
<p class="nli-solution-carddesc">
Bidirectional <em>cross-encoder</em> with <strong>disentangled attention</strong> (separating content and relative position) pre-trained via <em>replaced token detection</em> (ELECTRA) and fine-tuned on <code>SNLI</code> + <code>MultiNLI</code>. It evaluates premise and hypothesis jointly in a single forward pass without loading PyTorch.
</p>
<div class="nli-solution-cardgrid">
<div class="nli-solution-cardmetric">
<strong>Latency still to be measured</strong>
I did not run it on this bank. Because it decides in a single pass without generating text, my hypothesis is that it will land well below the committee's <code>366–1,717 ms</code> warm and <code>~31.7 s</code> cold.
</div>
<div class="nli-solution-cardmetric">
<strong>~165 MiB on disk (ONNX INT8 for AVX2)</strong>
<code>44M</code> backbone parameters (<code>142M</code> total with vocabulary embeddings); the <code>model_quint8_avx2.onnx</code> file takes about <code>165 MiB</code> on disk. Its runtime RAM is still to be measured, so I do not yet compare it with the roughly <code>7.8 GiB</code> of RAM used by the three judges.
</div>
<div class="nli-solution-card__metric">
<strong>3 native classes ("Yes" / "No" / "Undefined")</strong>
Emits direct logits for <code>contradiction</code>, <code>entailment</code>, and <code>neutral</code> (<code>87.55%</code> on MNLI <em>mismatched</em>, according to its model card). Whether that fixes the <code>"No"</code> blindness (<code>0/60</code>) on my gates remains to be measured.
</div>
</div>
</div>
The takeaway I keep from this proof of concept has a measured part and an unmeasured one. Measured: on a work laptop without a dedicated accelerator, a committee of mismatched models did not beat its best individual judge on three-class accuracy and never managed to say "No". Still a hypothesis: that a single small NLI cross-encoder, calibrated and compiled to ONNX INT8, would beat it in latency, memory footprint, and sensitivity to say "No". When verification is deterministic (a hash, a JSON schema, or an exit code), a 0 ms code rule remains unbeatable; and when I genuinely need to judge semantic entailment or contradiction locally, my next step is not to stack three judges in series, but to measure an architecture designed for that task first.
---
References
[^arc532025]: Arc53. 2025. "arc-decide-0.4b-v0.2: Compact ONNX Decision Classifier". Hugging Face model repository. huggingface.co.
[^browseruse2026]: Browser Use and TypeSafe AI. 2026. "JEV Ultrafast: Sub-Second Browser Agent Actions with Jev Decision Models". Official GitHub repository. browser-use/jev-ultrafast.
[^condorcet1785]: Condorcet, Jean-Antoine-Nicolas de Caritat, Marquis de. 1785. Essai sur l'application de l'analyse à la probabilité des décisions rendues à la pluralité des voix. Paris: Imprimerie Royale.
[^dietterich2000]: Dietterich, Thomas G. 2000. "Ensemble Methods in Machine Learning". In Multiple Classifier Systems (MCS 2000), Lecture Notes in Computer Science, vol. 1857, 1–15. Berlin: Springer. Scholar
[^guo2017]: Guo, Chuan, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger. 2017. "On Calibration of Modern Neural Networks". In Proceedings of the 34th International Conference on Machine Learning (ICML), PMLR 70: 1321–1330.
[^he2023]: He, Pengcheng, Jianfeng Gao, and Weizhu Chen. 2023. "DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing". In International Conference on Learning Representations (ICLR 2023). arXiv · Scholar
[^laurer2024]: Laurer, Moritz, Wouter van Atteveldt, Andreu Casas, and Kasper Welbers. 2024. "Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI". Political Analysis 32 (1): 84–100. Model from the same family: huggingface.co. DOI · Scholar
[^nandhakishorm2026a]: NandhaKishorM (ConvAI Innovations). 2026a. "Laya: System 1 Non-Autoregressive Multilingual Decision Engine". GitHub repository. NandhaKishorM/laya.
[^nandhakishorm2026b]: NandhaKishorM. 2026b. "VegaML: Potential-Well Physics Decision Engine over Frozen Language Backbones". GitHub repository. NandhaKishorM/vegaml.
If you are building a personal agent and want to make your browser interaction SOTA use browser use pi + browser use cloud browser
browser-use/browser-use-pi
26 likes · 2 reposts · 2,523 views
Your free AI agent keeps getting IP-blocked: route Crawl4AI and browser-use through a free proxy
---
title: "Your free AI agent keeps getting IP-blocked: route Crawl4AI and browser-use through a free proxy"
published: true
description: Agents that browse from one IP get rate-limited fast. Here's working Python code that sends Crawl4AI and browser-use through a free rotating proxy pool, plus an honest list of what a proxy can't fix.
tags: ai, python, webscraping, agents
---
You built a small agent. It reads pages with Crawl4AI or drives a browser with browser-use, it runs on your laptop or a free-tier VM, and for the first fifty pages it works great. Then the 429s start. Then a site quietly serves you an empty page. Then a cloud IP gets blocked outright.
Most of the time that isn't your code. It's the fact that every request your agent makes leaves from the same IP, and agents make a lot of requests, very fast, with no human pauses. Sites rate-limit per IP, and datacenter IPs (Colab, GitHub Actions, any cheap VPS) start out half-blocked anyway.
The fix is old and boring: spread the requests over many IPs. This post shows how to do that for free, with code for Crawl4AI and browser-use that I ran against the live pool before posting.
> Disclosure: I run SolProxy. The free pool below is ours. The code works with any HTTP proxy that takes a username and password; only the address changes.
What a proxy fixes, and what it doesn't
Before the code, be clear about what you're buying (even when it costs $0):
A rotating proxy helps with:
- Per-IP rate limits ("too many requests from this IP").
- IP bans after your agent hammered one site.
- Datacenter IP blocks, when the exit is a home connection.
- Geo: seeing the page a visitor from another country sees.
It does not help with:
- Serious bot protection (Cloudflare challenges, DataDome, PerimeterX, Amazon). Those look at the browser fingerprint and behaviour, not just the IP. In our own test, the free pool got through on 0 of 36 tries against protected sites. Free proxies won't change that, and paid ones only sometimes do.
- Captchas.
- Logins. Never send a password or session cookie through a free proxy.
If your agent mostly reads docs, blogs, forums, listings and news, IP rotation is the thing that's missing. If it fights Cloudflare all day, you need more than a proxy.
The free pool in one paragraph
SolProxy's free list re-tests public proxies every minute with a real HTTPS request and drops any that tamper with TLS. With a free account you also get one gateway address, ws.solproxy.net:8501, that picks a live proxy for each connection, only from the ones that passed at least 9 of their last 10 checks, and retries on another one if it dies. You never handle a list.
Limits, so nothing surprises you later: 25 GB per account per month, 2.5 GB per day, 16 connections at a time. The whole free pool also has a monthly budget; if it runs out you get a 503 until the 1st of the month.
Setup: register, copy your token from the dashboard, and use it as the proxy password:
export SOLPROXY_TOKEN=your_token_here
curl -x "http://free:$SOLPROXY_TOKEN@ws.solproxy.net:8501" https://api.ipify.org
You should see an IP that isn't yours.
1. Crawl4AI: pages to LLM-ready markdown, through the pool
Crawl4AI turns a page into clean markdown your model can read. It takes a proxy in BrowserConfig:
pip install crawl4ai
crawl4ai-setup # installs the browser
# crawl_tool.py
import asyncio
import os
from crawl4ai import AsyncWebCrawler, BrowserConfig, CacheMode, CrawlerRunConfig, ProxyConfig
SOLPROXY = ProxyConfig(
server="http://ws.solproxy.net:8501",
username="free", # flags go here: "free-us", "free-sticky10m-job1"
password=os.environ["SOLPROXY_TOKEN"], # your token from the dashboard
)
BROWSER = BrowserConfig(headless=True, proxy_config=SOLPROXY)
RUN = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, page_timeout=45_000)
async def fetch_markdown(url: str, tries: int = 3) -> str:
"""Fetch a page through the free pool and return LLM-ready markdown."""
last = "no attempt"
for _ in range(tries):
# A new browser means new connections, so each try leaves from another proxy.
async with AsyncWebCrawler(config=BROWSER) as crawler:
r = await crawler.arun(url, config=RUN)
if r.success and (r.status_code or 200) < 400:
return r.markdown.raw_markdown
last = f"{r.status_code} {r.error_message or ''}".strip()
raise RuntimeError(f"{url}: failed after {tries} tries ({last})")
if __name__ == "__main__":
md = asyncio.run(fetch_markdown("https://news.ycombinator.com"))
print(md[:500])
fetch_markdown is already an agent tool. Give it to whatever framework you use (LangGraph, the OpenAI or Anthropic tool-calling APIs, smolagents, CrewAI) as "fetch this URL and return its text", and every page your agent reads goes out through a different IP.
Free proxies die mid-request. That's why the retry loop is there: a failed try is cheap, and the next one leaves from a different proxy.
2. browser-use: a full browsing agent behind the pool
browser-use lets an LLM click and type in a real browser. Its Browser takes a proxy too:
pip install browser-use
# agent.py
import asyncio
import os
from browser_use import Agent, Browser, ChatOpenAI
from browser_use.browser.profile import ProxySettings
browser = Browser(
headless=True,
proxy=ProxySettings(
server="http://ws.solproxy.net:8501",
username="free-sticky10m-agent1", # keep one exit IP for 10 minutes
password=os.environ["SOLPROXY_TOKEN"],
),
)
agent = Agent(
task="Open news.ycombinator.com and list the top 5 story titles with their points.",
llm=ChatOpenAI(model="gpt-4.1-mini"), # any LLM browser-use supports
browser=browser,
)
asyncio.run(agent.run())
Note the username. A browsing agent does several steps on one site, and a site that sees the same visitor jump between IPs mid-session gets suspicious. -sticky10m-agent1 keeps the same proxy for up to 10 minutes (or until it dies); the part after it (agent1) is your own session name, so two agents running side by side each get their own pinned proxy. For one-off page reads (the Crawl4AI case), leave it off and let every connection rotate.
3. Plain Playwright
If your agent drives Playwright directly:
import asyncio
import os
from playwright.async_api import async_playwright
async def main():
async with async_playwright() as p:
browser = await p.chromium.launch(proxy={
"server": "http://ws.solproxy.net:8501",
"username": "free",
"password": os.environ["SOLPROXY_TOKEN"],
})
page = await browser.new_page()
await page.goto("https://api.ipify.org")
print(await page.inner_text("body")) # the proxy's IP, not yours
await browser.close()
asyncio.run(main())
One thing you'll see in a lot of proxy tutorials: ignore_https_errors=True. Don't. HTTPS through an HTTP proxy is an encrypted tunnel; the proxy only sees the hostname. That stays true only while certificate checks are on. If something only works with checks off, a proxy in the chain is swapping certificates and can read your traffic. Our pool drops those, but your browser is the last line of defence, so leave it on.
Useful flags
All flags go in the username, in any order:
| Username | What it does |
|---|---|
| free | New proxy per connection |
| free-us, free-de | Prefer that country (falls back to any if none is live) |
| free-sticky10m-mysession | Same proxy for up to 10 minutes while it stays up (sticky1m up to sticky1h) |
| free-residential | Only IPs whose ISP isn't a known hosting company. Returns 503 instead of falling back |
How it did when I ran it
I ran the Crawl4AI code and the browser-use proxy setup against the live pool from a home connection before posting (Crawl4AI 0.9.5, browser-use 0.13.14, Playwright 1.64.1). One run, so read it as a sanity check, not a benchmark:
- Rotation: four free requests to ipify came out from four different IPs.
- Plain sites: Hacker News, Wikipedia, GitHub Trending, quotes.toscrape and books.toscrape all came back as full markdown, in 3 to 6 seconds each. Hacker News failed once with a 503 and worked on the retry, which is exactly why fetch_markdown retries.
- Reddit made the browser pass a JavaScript check first, then returned the real page (9 seconds).
- Amazon returned a "click to continue shopping" bot page. Crawl4AI still reported it as a success, so don't trust success alone: if the markdown is a few hundred characters, it's probably a block page. Check for text you expect before you hand it to the model.
- browser-use: its browser logged in to the pool with the sticky username and loaded pages through it with no extra setup. (The LLM part of the agent doesn't care which proxy is underneath.)
One thing about sticky sessions: free proxies die, and when a pinned one does, the gateway quietly moves you to another live one instead of failing. So "sticky" means "the same proxy for as long as it stays up, up to 10 minutes", not a guarantee.
When free stops being enough
You'll know: you hit the 2.5 GB daily cap, or a target needs a real residential IP that doesn't fall over. The paid pool on the same gateway is $1.00 to $1.20 per GB with no tiers, and the code above doesn't change apart from the username and port. But start free; most agents never need more.
If something in the code breaks with a newer Crawl4AI or browser-use version, leave a comment and I'll fix the post.
@gsobregrau Opus 5.5 a pelo o tmb hay skills
browser-use/video-use
github.com/heygen-com/hyperframes/blob/HEAD/skill…
37 likes · 3 reposts · 1,528 views
SlothSurf: The Zero-Effort Autonomous Browser Agent for Lazy Humans 🦥
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady
What I Built
October 20th is International Sloth Day, and sloths have life figured out: they move at their own pace, conserve energy, and never burn calories unless absolutely necessary.
Meanwhile, humans spend hours every day on tedious digital chores:
- Digging through 50 Hacker News or Reddit comments to find the actual point
- Checking 3 weather sites to decide whether to get out of bed
- Comparing prices across tabs while popups block the screen
- Filling out multi-page web forms
SlothSurf is an autonomous browser agent that takes a high-level instruction ("Summarize the top 3 tech discussions today", "Find me a budget coffee maker under $25", "Check the weather and tell me if I have permission to stay in bed") and executes it inside a real Chromium browser: navigating, scrolling, clicking, extracting the key insight, and handing you the answer while you stay on the couch.
It features:
- Interactive Sloth CLI with ASCII art, real-time step streaming, and lazy presets
- Streamlit web dashboard with a one-click mission launcher plus model and slow-motion sliders
- Sloth-tuned prompt that conserves actions, takes the most direct clicks, and delivers the bare minimum needed to keep you informed
Code
{% embed algo-abdullah/slothsurf %}
Run it yourself in 3 steps:
# 1. Clone & install
git clone https://github.com/algo-abdullah/slothsurf.git
cd slothsurf
pip install -r requirements.txt
playwright install chromium
# 2. Add your Grok API key
echo "XAI_API_KEY=your_xai_key_here" > .env
# 3. Launch
python main.py # Terminal CLI
streamlit run app.py # Web dashboard
How I Built It
The architecture is clean and decoupled:
[ User (CLI / Streamlit UI) ]
│
▼
[ Sloth Agent Engine ]
├── Agent harness: browser-use (open source)
├── Browser controller: Playwright (Chromium)
└── Vision reasoning: xAI Grok API (grok-2-vision-1212)
│
▼
[ Live Chromium Browser Navigation ]
- Harness: browser-use handles screenshot capture, coordinate mapping, and browser action sequencing.
- Brain: grok-2-vision-1212 via the xAI API for fast vision grounding and concise answers.
- Interface: a Rich CLI for terminal lovers and Streamlit for visual desktop users.
Why Does Open Innovation Matter?
No lock-in, no license fees. Closed RPA and cloud browser-automation platforms (UiPath, agent SaaS products) charge monthly subscriptions, restrict you to their proprietary cloud browsers, and gate API access. Building on browser-use and open Playwright standards means the whole agent layer is free software that I own, modify, and run on my own machine.
Model agnostic. Because the harness uses the standard OpenAI/LangChain client interface, I connected it to Grok for fast visual reasoning, but I can swap to local open-weight models (Qwen2-VL, Llama-3.2-Vision) with a single environment variable change whenever I need offline privacy. A closed automation bot would have locked me into one model.
Inspectable and private. Web agents touch cookies, tabs, and personal accounts. With an open harness, every DOM extraction, screenshot, and coordinate click is visible in Python code, and nothing phones home telemetry to a corporate vendor.
The Lazy Payoff
The future of AI shouldn't just be about working faster; it should be about working less. SlothSurf turns multi-tab, multi-click chores into one sentence typed from the couch.
Stay slow, stay steady, and happy International Sloth Day! 🦥
---
i’m editing my own videos with claude now
here’s the setup:
1. install claude code
2. paste this into claude:
set up browser-use/video-use for me. read install.md first and tell me when it’s ready
3. add your elevenlabs api key when asked
4. put your raw clips in one folder
5. open claude code inside that folder
then use this prompt:
remove bad takes and long pauses, keep the natural rhythm, add captions in my style and export 9:16
claude transcribes the clips and shows you a cut plan
once you approve it, the finished video appears as edit/final.mp4
for changes, send the timestamp:
undo the cut at 00:18
51 likes · 1 repost · 2,234 views
GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
This is GitHub Trending Weekly #55. 35 trending open-source projects on GitHub right now.
Paid channel subscription: youtube.com
Text version link: githubawesome.com
00:00 - Introduction
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
Thank you so much for watching. Please like the video and subscribe to our channel.
#github #ai #opensource
Notice: The content was created with the assistance of AI and may contain inaccuracies or errors.
▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬
➡ LinkTree: link.githubawesome.com
➡ Buy Me A Coffee link.githubawesome.com
[ar] أبرز مشاريع GitHub لهذا الأسبوع #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openter...
هذا هو العدد 55 من نشرة GitHub الأسبوعية لأكثر المشاريع رواجاً. يضم هذا العدد 35 مشروعاً مفتوح المصدر رائجاً على GitHub حالياً.
الاشتراك المدفوع في القناة: youtube.com
رابط النسخة النصية: githubawesome.com
00:00 - مقدمة
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
شكرًا جزيلًا على المشاهدة. يُرجى الإعجاب بالفيديو والاشتراك في قناتنا.
#جيت_هاب #الذكاء_الاصطناعي #المصادر_المفتوحة
ملاحظة: تم إنشاء هذا المحتوى بمساعدة الذكاء الاصطناعي، وقد يحتوي على بعض الأخطاء أو عدم الدقة.
▬▬▬▬▬▬ 👋 تواصل معي 👋 ▬▬▬▬▬▬
➡ لينك تري: link.githubawesome.com
➡ ادعمنا: link.githubawesome.com
[bn] গিটহাব ট্রেন্ডিং উইকলি #৫৫: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
এটি গিটহাব ট্রেন্ডিং উইকলি #৫৫। এই মুহূর্তে গিটহাবে ৩৫টি ট্রেন্ডিং ওপেন-সোর্স প্রজেক্ট।
পেইড চ্যানেল সাবস্ক্রিপশন: youtube.com
টেক্সট ভার্সনের লিঙ্ক: githubawesome.com
০০:০০ - ভূমিকা
০০:১১ - owly t4t5/owly
০০:৩৮ - ai-job-search ai-job-search-dev/ai-job-search
০১:০৩ - tsrs oxc-project/tsrs
০১:২৯ - new-term-radar zhuyansen/new-term-radar
০১:৫২ - security-audit-skill cloudflare/security-audit-skill
০২:১৮ - dev-null.sh dev-null-sh/dev-null.sh
০২:৪৩ - laya NandhaKishorM/laya
০৩:১০ - 3d-model-anything wesbos/3d-model-anything
০৩:৩৩ - rossark-motion-skill rossark0/rossark-motion-skill
০৪:০২ - reylo colinhacks/reylo
০৪:২৯ - openterminal spovalova/openterminal
০৪:৫৫ - hatchzip xevrion/hatchzip
০৫:২৩ - dquickts stencil-hq/dquickts
০৫:৪৭ - ming-voice JMS1717/ming-voice
০৬:১৪ - onkey dsmurrell/onkey
০৬:৪১ - Sumi.css vladocar/Sumi.css
০৭:০৭ - rl-env-use browser-use/rl-env-use
০৭:৩৫ - img2interior img2threejs/plugin-interior
০৮:০২ - Rubix-lang tek-sys-hub/Rubix-lang
০৮:২৮ - motion2code lovisdotio/motion2code
০৮:৫৪ - omnara omnara-ai/omnara
০৯:২০ - ELYTerminal ELY-Open-Source/ELYTerminal
০৯:৪৪ - prompt2rig blendi-remade/prompt2rig
১০:০৮ - ভিডিও-শর্ট petergyang/video-short
১০:৩৪ - পেনমেন্টর AbdullahAlhariri/penmentor
১১:০২ - রেক recursive-oss/rec
১১:৩০ - বিটকিন্ডল tombkeeper/BitKindle
১১:৫৫ - ওপাল xingjian-bai/opal
১২:২২ - বার্সার Samsara-1999/Bursar
১২:৪৭ - ওপেনভিএলহারনেস uclanlp/OpenVLHarness
১৩:১০ - ভিডিও-এডিটর-স্কিলস appariciojunior/video-editor-skills
১৩:৩৬ - ওপেন-ম্যাথ-হারনেস openmathmodel/open-math-harness
১৪:০২ - বাম্বু-বার rolottr/bambu-bar
১৪:২৫ - হাইথ্রিডিভি১.০ hi3d-official/Hi3Dv1.0
১৪:৫১ - প্লুম_লঞ্চার aradhyas8/Plume_Launcher
দেখার জন্য আপনাকে অনেক ধন্যবাদ। অনুগ্রহ করে ভিডিওটি লাইক করুন এবং আমাদের চ্যানেলটি সাবস্ক্রাইব করুন।
#github #ai #opensource
বিজ্ঞপ্তি: এই কন্টেন্টটি এআই (AI)-এর সহায়তায় তৈরি করা হয়েছে এবং এতে ভুল বা ত্রুটি থাকতে পারে।
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[de-DE] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
Dies ist GitHub Trending Weekly #55. 35 aktuell angesagte Open-Source-Projekte auf GitHub.
Abonnement des kostenpflichtigen Kanals: youtube.com
Link zur Textversion: githubawesome.com
00:00 – Einführung
00:11 – owly t4t5/owly
00:38 – ai-job-search ai-job-search-dev/ai-job-search
01:03 – tsrs oxc-project/tsrs
01:29 – new-term-radar zhuyansen/new-term-radar
01:52 – security-audit-skill cloudflare/security-audit-skill
02:18 – dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - Video-Editor-Fähigkeiten appariciojunior/video-editor-skills
13:36 – Open Math Harness openmathmodel/open-math-harness
14:02 – Bambus Bar rolottr/bambu-bar
14:25 – Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 – Plume Launcher aradhyas8/Plume_Launcher
Vielen Dank fürs Zuschauen! Bitte liken Sie das Video und abonnieren Sie unseren Kanal.
#github #ai #opensource
Hinweis: Der Inhalt wurde mithilfe von KI erstellt und kann Ungenauigkeiten oder Fehler enthalten.
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[es-US] GitHub Tendencias Semanal #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal,...
Este es el GitHub Trending Weekly #55. 35 proyectos de código abierto que son tendencia en GitHub en este momento.
Suscripción de pago al canal: youtube.com
Enlace a la versión en texto: githubawesome.com
00:00 - Introducción
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
Muchas gracias por ver el video. Dale me gusta y suscríbete a nuestro canal.
#github #ai #opensource
Aviso: El contenido se creó con la ayuda de IA y puede contener imprecisiones o errores.
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[fr-FR] GitHub Trending Weekly #55 : owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, o...
Voici le top 55 des tendances hebdomadaires sur GitHub. Découvrez 35 projets open source populaires sur GitHub en ce moment.
Abonnement payant à la chaîne : youtube.com
Lien vers la version texte : githubwesome.com
00:00 - Introduction
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - Compétences en montage vidéo : appariciojunior/video-editor-skills
13:36 - OpenMathHarness : openmathmodel/open-math-harness
14:02 - Bambu-bar : rolottr/bambu-bar
14:25 - Hi3Dv1.0 : hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher : aradhyas8/Plume_Launcher
Merci beaucoup d'avoir regardé cette vidéo. N'hésitez pas à la liker et à vous abonner à notre chaîne.
#github #ai #opensource
Avertissement : Ce contenu a été créé avec l'aide d'une IA et peut contenir des inexactitudes ou des erreurs.
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[hi] GitHub ट्रेंडिंग वीकली #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
यह GitHub ट्रेंडिंग वीकली का 55वां अंक है। GitHub पर इस समय ट्रेंडिंग 35 ओपन-सोर्स प्रोजेक्ट्स की सूची।
चैनल की सशुल्क सदस्यता: youtube.com
टेक्स्ट संस्करण का लिंक: githubawesome.com
00:00 - परिचय
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - लाया NandhaKishorM/laya
03:10 - 3डी-मॉडल-एनीथिंग wesbos/3%E0%A4%A1%E0%A5%80-%E0%A4%AE%E0%A5%89%E0%A4%A1%E0%A4%B2-%E0%A4%8F%E0%A4%A8%E0%A5%80%E0%A4%A5%E0%A4%BF%E0%A4%82%E0%A4%97
03:33 - रॉसार्क-मोशन-स्किल rossark0/rossark-motion-skill
04:02 - रेयलो colinhacks/reylo
04:29 - ओपनटर्मिनल spovalova/openterminal
04:55 - हैचज़िप xevrion/hatchzip
05:23 - डीक्विक्ट्स stencil-hq/dquickts
05:47 - मिंग-वॉइस JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - वीडियो एडिटर स्किल्स appariciojunior/video-editor-skills
13:36 - ओपन मैथ हार्नेस openmathmodel/open-math-harness
14:02 - बंबू बार rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - प्लूम लॉन्चर aradhyas8/Plume_Launcher
वीडियो देखने के लिए बहुत-बहुत धन्यवाद। कृपया वीडियो को लाइक करें और हमारे चैनल को सब्सक्राइब करें।
#github #ai #opensource
सूचना: यह सामग्री AI की सहायता से बनाई गई है और इसमें कुछ त्रुटियाँ या अशुद्धियाँ हो सकती हैं।
▬▬▬▬▬▬ 👋 मुझसे संपर्क करें 👋 ▬▬▬▬▬▬
➡ लिंक ट्री: link.githubawesome.com
➡ मुझे कॉफ़ी पिलाएँ: link.githubawesome.com
[id] GitHub Trending Mingguan #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, ...
Ini adalah GitHub Trending Weekly #55. 35 proyek open-source yang sedang tren di GitHub saat ini.
Langganan saluran berbayar: youtube.com
Tautan versi teks: githubawesome.com
00:00 - Pendahuluan
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
Terima kasih banyak telah menonton. Silakan sukai video ini dan berlangganan saluran kami.
#github #ai #opensource
Peringatan: Konten ini dibuat dengan bantuan AI dan mungkin mengandung ketidakakuratan atau kesalahan.
▬▬▬▬▬▬ 👋 Hubungi saya 👋 ▬▬▬▬▬▬
➡ LinkTree: link.githubawesome.com
➡ Dukung saya dengan membeli kopi: link.githubawesome.com
[it] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
Questa è la rubrica settimanale "GitHub Trending #55". 35 progetti open source di tendenza su GitHub in questo momento.
Abbonamento a pagamento al canale: youtube.com
Link alla versione testuale: githubawesome.com
00:00 - Introduzione
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh Italiano: dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice Italiano: JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal Italiano: ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness Italiano: uclanlp/OpenVLHarness
13:10 - Video Editor Skills appariciojunior/video-editor-skills
13:36 - OpenMath Harness openmathmodel/open-math-harness
14:02 - Bambu Bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume Launcher aradhyas8/Plume Launcher
Grazie mille per aver guardato il video. Metti mi piace e iscriviti al nostro canale.
#github #ai #opensource
Nota: il contenuto è stato creato con l'aiuto dell'IA e potrebbe contenere imprecisioni o errori.
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➡ LinkTree: link.githubawesome.com
➡ Offrimi un caffè link.githubawesome.com
[iw] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
זהו מגזין GitHub Trending Weekly #55. 35 פרויקטים בקוד פתוח פופולריים ב-GitHub כרגע.
מנוי לערוץ בתשלום: youtube.com
קישור לגרסת טקסט: githubawesome.com
00:00 - מבוא
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - לאיה NandhaKishorM/laya
03:10 - מודל תלת-ממדי wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - ריילו colinhacks/reylo
04:29 - טרמינל פתוח spovalova/openterminal
04:55 - האצ'יפ xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - מינג-קול JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - סרטון קצר petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - מיומנויות עריכת וידאו appariciojunior/video-editor-skills
13:36 - רתמת מתמטיקה פתוחה openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
תודה רבה שצפיתם. אנא עשו לייק לסרטון והירשמו לערוץ שלנו.
#github #ai #opensource
הערה: התוכן נוצר בעזרת בינה מלאכותית ועשוי להכיל אי דיוקים או שגיאות.
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➡ תקנה לי קפה link.githubawesome.com
[ja] GitHub週間トレンド #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
こちらはGitHubトレンドウィークリー第55回です。現在GitHubで注目を集めているオープンソースプロジェクト35件をご紹介します。
有料チャンネル登録：youtube.com
テキスト版リンク：githubawesome.com
00:00 - はじめに
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
ご視聴いただきありがとうございました。動画への「いいね」とチャンネル登録をお願いします。
#github #ai #opensource
注意：このコンテンツはAIの支援を受けて作成されたため、不正確な情報や誤りが含まれている可能性があります。
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➡ LinkTree: link.githubawesome.com
➡ Buy Me A Coffee: link.githubawesome.com
[ko] GitHub 주간 트렌딩 #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
GitHub 주간 인기 프로젝트 #55입니다. 지금 GitHub에서 가장 인기 있는 오픈소스 프로젝트 35개를 소개합니다.
유료 채널 구독: youtube.com
텍스트 버전 링크: githubwesome.com
00:00 - 소개
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
시청해 주셔서 감사합니다. 영상에 좋아요를 누르고 채널 구독도 부탁드립니다.
#github #ai #opensource
주의: 본 콘텐츠는 AI를 이용하여 제작되었으며, 부정확하거나 오류가 포함될 수 있습니다.
▬▬▬▬▬▬ 👋 연락처 👋 ▬▬▬▬▬▬
➡ 링크트리: link.githubawesome.com
➡ 커피 한 잔 사주세요: link.githubawesome.com
[ml] GitHub ട്രെൻഡിംഗ് വീക്ക്ലി #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, opentermina...
ഇതാണ് GitHub ട്രെൻഡിംഗ് വീക്ക്ലി #55. GitHub-ൽ ഇപ്പോൾ ട്രെൻഡിംഗ് ആയ 35 ഓപ്പൺ സോഴ്സ് പ്രോജക്ടുകൾ.
പണമടച്ചുള്ള ചാനൽ സബ്സ്ക്രിപ്ഷൻ: youtube.com
ടെക്സ്റ്റ് പതിപ്പ് ലിങ്ക്: githubawesome.com
00:00 - ആമുഖം
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - ലായ NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - റോസാർക്ക്-മോഷൻ-സ്കിൽ rossark0/rossark-motion-skill
04:02 - റെയ്ലോ colinhacks/reylo
04:29 - ഓപ്പൺടെർമിനൽ spovalova/openterminal
04:55 - ഹാച്ച്സിപ്പ് xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - മിംഗ്-വോയ്സ് JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - വീഡിയോ-ഷോർട്ട് petergyang/video-short
10:34 - പെൻമെന്റർ AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - ബർസാർ Samsara-1999/Bursar
12:47 - ഓപ്പൺവിഎൽഹാർനെസ് uclanlp/OpenVL%E0%B4%B9%E0%B4%BE%E0%B5%BC%E0%B4%A8%E0%B5%86%E0%B4%B8%E0%B5%8D
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
കണ്ടതിന് വളരെ നന്ദി. ദയവായി വീഡിയോ ലൈക്ക് ചെയ്യുകയും ഞങ്ങളുടെ ചാനൽ സബ്സ്ക്രൈബ് ചെയ്യുകയും ചെയ്യുക.
#github #ai #opensource
ശ്രദ്ധിക്കുക: ഉള്ളടക്കം AI യുടെ സഹായത്തോടെ സൃഷ്ടിച്ചതാണ്, അതിൽ കൃത്യതയില്ലായ്മകളോ പിശകുകളോ അടങ്ങിയിരിക്കാം.
▬▬▬▬▬▬ 👋 എന്നെ ബന്ധപ്പെടുക 👋 ▬▬▬▬▬▬
➡ ലിങ്ക്ട്രീ: link.githubawesome.com
➡ എനിക്ക് ഒരു കാപ്പി വാങ്ങിത്തരൂ link.githubawesome.com
[nl-NL] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
Dit is GitHub Trending Weekly #55. 35 populaire open-sourceprojecten op GitHub van dit moment.
Betaald kanaalabonnement: youtube.com
Link naar tekstversie: githubawesome.com
00:00 - Introductie
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
Hartelijk dank voor het kijken. Geef de video een like en abonneer je op ons kanaal.
#github #ai #opensource
Let op: De inhoud is gemaakt met behulp van AI en kan onnauwkeurigheden of fouten bevatten.
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➡ LinkTree: link.githubawesome.com
➡ Koop me een koffie: link.githubawesome.com
[pa] GitHub ਟ੍ਰੈਂਡਿੰਗ ਵੀਕਲੀ #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
ਇਹ GitHub ਟ੍ਰੈਂਡਿੰਗ ਵੀਕਲੀ #55 ਹੈ। GitHub 'ਤੇ ਇਸ ਵੇਲੇ 35 ਟ੍ਰੈਂਡਿੰਗ ਓਪਨ-ਸੋਰਸ ਪ੍ਰੋਜੈਕਟ।
ਭੁਗਤਾਨਸ਼ੁਦਾ ਚੈਨਲ ਗਾਹਕੀ: youtube.com
ਟੈਕਸਟ ਵਰਜਨ ਲਿੰਕ: githubawesome.com
00:00 - ਜਾਣ-ਪਛਾਣ
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - ਲਾਯਾ NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - ਰੋਸਾਰਕ-ਮੋਸ਼ਨ-ਸਕਿੱਲ rossark0/rossark-motion-skill
04:02 - ਰੀਲੋ colinhacks/reylo
04:29 - ਓਪਨਟਰਮੀਨਲ spovalova/openterminal
04:55 - ਹੈਚਜ਼ਿਪ xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ਮਿੰਗ-ਵੌਇਸ JMS1717/ming-voice
06:14 - ਓਨਕੀ dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - ਵੀਡੀਓ-ਸ਼ਾਰਟ petergyang/video-short
10:34 - ਪੈਨਮੈਂਟਰ AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - ਬਿਟਕਿੰਡਲ tombkeeper/BitKindle
11:55 - ਓਪਲ xingjian-bai/opal
12:22 - ਬਰਸਰ Samsara-1999/Bursar
12:47 - ਓਪਨਵੀਐਲਹਾਰਨੈਸ uclanlp/OpenVL%E0%A8%B9%E0%A8%BE%E0%A8%B0%E0%A8%A8%E0%A9%88%E0%A8%B8
13:10 - ਵੀਡੀਓ-ਐਡੀਟਰ-ਸਕਿੱਲਸ appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
ਦੇਖਣ ਲਈ ਤੁਹਾਡਾ ਬਹੁਤ ਧੰਨਵਾਦ। ਕਿਰਪਾ ਕਰਕੇ ਵੀਡੀਓ ਨੂੰ ਪਸੰਦ ਕਰੋ ਅਤੇ ਸਾਡੇ ਚੈਨਲ ਨੂੰ ਸਬਸਕ੍ਰਾਈਬ ਕਰੋ।
#github #ai #opensource
ਨੋਟਿਸ: ਸਮੱਗਰੀ AI ਦੀ ਸਹਾਇਤਾ ਨਾਲ ਬਣਾਈ ਗਈ ਸੀ ਅਤੇ ਇਸ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਗਲਤੀਆਂ ਹੋ ਸਕਦੀਆਂ ਹਨ।
▬▬▬▬▬▬ 👋 ਮੇਰੇ ਨਾਲ ਸੰਪਰਕ ਕਰੋ 👋 ▬▬▬▬▬▬
➡ ਲਿੰਕਟ੍ਰੀ: link.githubawesome.com
➡ ਮੈਨੂੰ ਇੱਕ ਕੌਫੀ ਖਰੀਦੋ link.githubawesome.com
[pl] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
Oto GitHub Trending Weekly nr 55. 35 najpopularniejszych projektów open source na GitHubie.
Płatna subskrypcja kanału: youtube.com
Link do wersji tekstowej: githubwesome.com
00:00 - Wprowadzenie
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - krótki film petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - umiejętności edytora wideo appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
Dziękujemy za obejrzenie. Polub film i zasubskrybuj nasz kanał.
#github #ai #opensource
Uwaga: Treść została stworzona przy pomocy sztucznej inteligencji i może zawierać nieścisłości lub błędy.
▬▬▬▬▬▬ 👋 Skontaktuj się ze mną 👋 ▬▬▬▬▬▬
➡ LinkTree: link.githubwesome.com
➡ Kup mi kawę link.githubwesome.com
[pt-BR] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
Esta é a lista #55 dos projetos de código aberto mais populares do GitHub neste momento.
35 projetos de código aberto em alta no GitHub. Assinatura paga do canal: youtube.com
Link para a versão em texto: githubawesome.com
00:00 - Introdução
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
04:29 - openterminal spovalova/openterminal
04:55 - hatchzip xevrion/hatchzip
05:23 - dquickts stencil-hq/dquickts
05:47 - ming-voice JMS1717/ming-voice
06:14 - onkey dsmurrell/onkey
06:41 - Sumi.css vladocar/Sumi.css
07:07 - rl-env-use browser-use/rl-env-use
07:35 - img2interior img2threejs/plugin-interior
08:02 - Rubix-lang tek-sys-hub/Rubix-lang
08:28 - motion2code lovisdotio/motion2code
08:54 - omnara omnara-ai/omnara
09:20 - ELYTerminal ELY-Open-Source/ELYTerminal
09:44 - prompt2rig blendi-remade/prompt2rig
10:08 - video-short petergyang/video-short
10:34 - penmentor AbdullahAlhariri/penmentor
11:02 - rec recursive-oss/rec
11:30 - BitKindle tombkeeper/BitKindle
11:55 - opal xingjian-bai/opal
12:22 - Bursar Samsara-1999/Bursar
12:47 - OpenVLHarness uclanlp/OpenVLHarness
13:10 - video-editor-skills appariciojunior/video-editor-skills
13:36 - open-math-harness openmathmodel/open-math-harness
14:02 - bambu-bar rolottr/bambu-bar
14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0
14:51 - Plume_Launcher aradhyas8/Plume_Launcher
Muito obrigado por assistir. Por favor, curta o vídeo e inscreva-se no nosso canal.
#github #ai #opensource
Aviso: O conteúdo foi criado com o auxílio de IA e pode conter imprecisões ou erros.
▬▬▬▬▬▬ 👋 Entre em contato comigo 👋 ▬▬▬▬▬▬
➡ LinkTree: link.githubawesome.com
➡ Compre-me um café: link.githubawesome.com
[ru] GitHub Trending Weekly №55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey
Это еженедельный обзор трендов GitHub № 55. 35 самых популярных проектов с открытым исходным кодом на GitHub прямо сейчас.
Платная подписка на канал: youtube.com
Ссылка на текстовую версию: githubawesome.com
00:00 - Введение
00:11 - owly t4t5/owly
00:38 - ai-job-search ai-job-search-dev/ai-job-search
01:03 - tsrs oxc-project/tsrs
01:29 - new-term-radar zhuyansen/new-term-radar
01:52 - security-audit-skill cloudflare/security-audit-skill
02:18 - dev-null.sh dev-null-sh/dev-null.sh
02:43 - laya NandhaKishorM/laya
03:10 - 3d-model-anything wesbos/3d-model-anything
03:33 - rossark-motion-skill rossark0/rossark-motion-skill
04:02 - reylo colinhacks/reylo
0
117 likes · 8 comments · 11,750 views
6 открытых репозиториев для ИИ-агентов
6 открытых репозиториев для ИИ-агентов, которые экономят месяцы работы. Один превращает Claude в учёного.
1. Браузер для агента: browser-use/browser-use
2. Память агента: rohitg00/agentmemory
3. Наука, 177 навыков: K-Dense-AI/scientific-agent-skills
4. Схемы: cathrynlavery/diagram-design
5. База памяти и знаний: volcengine/OpenViking
6. Обвязка агентов: ai-boost/awesome-harness-engineering
Открой Claude Code, вставь нужную ссылку и напиши: «Поставь это и покажи на примере». Ставь по одному, а не все сразу.
Нужна подписка Claude Pro или Max. В терминал ничего вводить не нужно.
Бесплатная игра и материалы из всех роликов: ig.onai.academy
#shorts #claude #ииагенты #github
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I first used something similar with this: browser-use/agency
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Whoever built this will put video editors out of work: raw footage in a folder, Claude Code hands back final.mp4 1. Paste the setup prompt from browser-use/video-use into Claude Code, it installs itself 2. Export your ElevenLabs key first, the tool is free and open source, you pay for transcription and Claude usage 3. Drop your raw takes into one folder, cd there and run claude, transcription starts right away so test on one short clip 4. Type: edit these into a launch video 5. Read the plan it proposes and say OK, it does not touch the cut before that 6. Wait while it removes umms and dead space, ask for color grade, subtitles and overlays too, each overlay gets its own subagent 7. Approve the preview to get edit/final.mp4, every cut is checked first, up to 3 fix passes 30K+ GitHub stars, MIT license, works for talking heads, montages, tutorials, travel, interviews Claude reads a ~12KB transcript plus PNG filmstrips, frame by frame would be about 45M tokens Full guide in the article below
JEV-style local judges in three spoonfuls: when voting improves a decision and when it only stalls it --- title: "JEV-style local judges in three spoonfuls: when voting improves a decision and when it only stalls it" published: true description: "Proof of concept of a 2-of-3 committee on CPU (Laya, VegaML, and Arc Decide) on an Intel Core i7-8550U, with an ONNX INT8 NLI cross-encoder (DeBERTa-v3-small) as an alternative still to be measured." tags: "aievaluation, localinference, cpu, decisionmaking" canonical_url: "3cucharadas.cl" cover_image: "3cucharadas.cl" ai_disclosure_level: "some_ai" --- When I automate code workflows and technical auditing, many verification checks do not need generated prose: they need a fast verdict between "Yes" (the evidence suffices), "No" (there is a hard failure), or "Undefined" (it is safer to abstain and escalate). Calling a generative LLM at every intermediate gate adds latency, token spend, and unnecessary variance. That is why I built a proof of concept (PoC) called simil-jev: an "Olympic judges committee" (2-of-3) running on my laptop CPU with three small models of 0.4B to 0.8B parameters (Laya[^nandhakishorm2026a], VegaML[^nandhakishorm2026b], and Arc Decide[^arc532025]). Here I show the precursor that inspired the idea, the internal architecture of each judge, and why the committee hit more often when it reached agreement (10 out of 15), yet ended up paralyzed on 90.62% of the test bank. --- Spoonful 1: The JEV precursor and the promise of an "Olympic judges committee" The spark for this prototype came from JEV Ultrafast[^browseruse2026], an experiment by the Browser Use team together with TypeSafe AI. Instead of asking a heavy LLM to inspect screenshots or write paragraphs at every browser step, jev-ultrafast turns the page into an indexed table of controls and delegates the choice to Jev, a specialized System 1 decision model that selects the atomic action (CLICK, SELECT, WAIT, BLOCKED) in milliseconds and only calls a small LLM when it needs to type text (TYPE_TEXT). <div class="jev-showcase"> <div class="jev-showcasetop"> <div class="jev-showcasebrand"> <span>⚡ JEV Ultrafast (Browser Use × TypeSafe AI)</span> </div> <div class="jev-chips"> <a class="jev-chip" href="browser-use/jev-ultrafast" target="_blank" rel="noopener"><i class="fab fa-github"></i> browser-use/jev-ultrafast</a> <a class="jev-chip jev-chip--amber" href="docs.typesafe.ai" target="_blank" rel="noopener">TypeSafe Jev Docs</a> </div> </div> <img src="raw.githubusercontent.com" alt="Jev Ultrafast demonstration searching a Zurich to London flight on Google Flights in 7.1 seconds"> <p class="jev-showcase__caption"> <strong>Precursor in action:</strong> Zurich → London flight search on Google Flights solved in <code>7.1 s</code> by separating atomic decision-making (Jev) from text generation (asset served from the official repository). </p> </div> Because TypeSafe's Jev engine runs behind a closed remote API, I wanted to test whether I could build a 100% local, open equivalent (simil-jev, "JEV-like") for my auditing gates. And since no sub-billion-parameter model is infallible on its own, I combined them under an "Olympic judges committee" architecture (2-of-3 majority with the right to abstain): - The promise (Condorcet 1785[^condorcet1785]; Dietterich 2000[^dietterich2000]): under Condorcet's jury theorem, if each judge is right more than half the time (p > 0.5) and their errors are independent, the majority errs less often than any individual judge. - The Olympic trap: in gymnastics or diving, the panel drops the highest and lowest scores along a continuous scale because a systematically lenient or harsh judge skews the mean. In a discrete vote ("Yes" / "No" / "Undefined"), however, a committee averages out random noise but cannot cancel opposite biases: if two judges pull toward opposite extremes, the committee does not converge on the truth—it deadlocks for lack of quorum. --- Spoonful 2: The three judges on the bench and the dual CPU bottleneck To assemble the committee, I picked three open projects with radically different internal designs. Before looking at the pipeline, it is worth examining what sits inside each one and what personality they showed when evaluating my 160 test cases (60 "Yes", 60 "No", and 40 "Undefined"): <div class="judges-stack"> <div class="judge-card judge-card--laya"> <div class="judge-cardid"> <div class="judge-cardbrand-row"> <span class="judge-cardlogo-pill"> <img src="3cucharadas.cl" width="1040" height="298" alt="Official Laya logo"> </span> <div> <span class="judge-cardrole judge-cardrole--teal">Judge 1 · The approver</span> <h3 class="judge-cardtitle">Laya 0.4.11</h3> </div> </div> <div class="jev-chips"> <a class="jev-chip" href="NandhaKishorM/laya" target="_blank" rel="noopener"><i class="fab fa-github"></i> GitHub</a> <a class="jev-chip" href="huggingface.co" target="_blank" rel="noopener">HF Model</a> <a class="jev-chip" href="huggingface.co" target="_blank" rel="noopener">Demo Space</a> </div> </div> <div class="judge-cardmain"> <p class="judge-carddesc"> Multilingual non-autoregressive <em>System 1</em> decision engine trained with <em>strictly proper scoring rules</em> (RLCD) to emit single-pass verdicts without generating text. </p> <div class="judge-card__stats"> <div><strong>CPU cost:</strong> <code>2.26 GiB</code> RAM · <code>13.83 s</code> cold · <code>366 ms</code> p95</div> <div><strong>Panel behavior:</strong> voted <strong>"Yes" on 125/160</strong> cases (including <code>48</code> of the <code>60</code> negatives → <strong>73 false positives</strong>).</div> </div> </div> </div> <div class="judge-card judge-card--vega"> <div class="judge-cardid"> <div class="judge-cardbrand-row"> <span class="judge-cardlogo-pill"> <img src="3cucharadas.cl" width="64" height="64" alt="Official VegaML potential-well icon"> </span> <div> <span class="judge-cardrole judge-cardrole--rose">Judge 2 · The rejecter</span> <h3 class="judge-cardtitle">VegaML 0.11.0</h3> </div> </div> <div class="jev-chips"> <a class="jev-chip jev-chip--rose" href="NandhaKishorM/vegaml" target="_blank" rel="noopener"><i class="fab fa-github"></i> GitHub</a> <a class="jev-chip jev-chip--rose" href="pypi.org" target="_blank" rel="noopener">PyPI 0.11.0</a> <a class="jev-chip jev-chip--rose" href="huggingface.co" target="_blank" rel="noopener"><code>Qwen3.5-0.8B</code></a> </div> </div> <div class="judge-cardmain"> <p class="judge-carddesc"> Couples a frozen reader (<code>Qwen3.5-0.8B</code>) with a compact <code>14.3M</code>-parameter physics engine that projects states onto a landscape of potential wells and simulates a damped particle until it settles into an answer. </p> <div class="judge-card__stats"> <div><strong>CPU cost:</strong> <code>4.93 GiB</code> RAM · <code>13.66 s</code> cold · <code>1,717 ms</code> p95</div> <div><strong>Panel behavior:</strong> voted <strong>"No" on 131/160</strong> cases and hit <strong>0 out of 60</strong> on the "Yes" class.</div> </div> </div> </div> <div class="judge-card judge-card--arc"> <div class="judge-cardid"> <div class="judge-cardbrand-row"> <span class="judge-cardicon-box" aria-hidden="true"> <svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M12 3v18"/><path d="M5 7h14"/><path d="M5 7l-3 6h6l-3-6z"/><path d="M19 7l-3 6h6l-3-6z"/><path d="M8 21h8"/></svg> </span> <div> <span class="judge-cardrole judge-cardrole--amber">Judge 3 · The silent one</span> <h3 class="judge-cardtitle">Arc Decide 0.4B</h3> </div> </div> <div class="jev-chips"> <a class="jev-chip jev-chip--amber" href="huggingface.co" target="_blank" rel="noopener">Arc53/arc-decide-0.4b</a> <a class="jev-chip jev-chip--amber" href="onnxruntime.ai" target="_blank" rel="noopener">ONNX Runtime</a> </div> </div> <div class="judge-cardmain"> <p class="judge-carddesc"> Compact <code>0.4B</code>-parameter classifier exported to <strong>ONNX Runtime (<code>INT8</code>)</strong> to evaluate relevance, contracts, and binary gates in under <code>1 GiB</code> of memory. </p> <div class="judge-card__stats"> <div><strong>CPU cost:</strong> <code>0.59 GiB</code> RAM · <code>4.21 s</code> cold · <code>950 ms</code> p95</div> <div><strong>Panel behavior:</strong> under its panel threshold (<code>0.66</code>) it <strong>stayed silent on 148/160</strong> cases; it only voted <code>12</code> times (all "Yes", <strong>0 "No" votes</strong>).</div> </div> </div> </div> </div> When I wired all three behind simil-jev --panel, the two bottlenecks depicted in Figure 1 surfaced immediately: <figure class="cuch-d2-fig"> <img src="3cucharadas.cl" width="1087" height="723" alt="Pipeline diagram of simil-jev --panel: input validation and hashes, three judges called sequentially on CPU, and a 2-of-3 quorum where Laya votes Yes, VegaML votes No, and Arc almost never votes, so the panel decides on only 9.38% of cases."> <figcaption> <strong>Figure 1.</strong> Real pipeline of <code>simil-jev --panel</code>. Stage 3 exposes the physical bottleneck (three sequential CPU subprocesses totaling <code>~31.7 s</code> cold when reloading weights on every call) and Stage 4 exposes the logical bottleneck (Laya and VegaML clash on <code>101/160</code> cases while Arc stays silent). </figcaption> </figure> On a workstation with a dedicated GPU and all three engines kept resident in VRAM, Stage 3 would take milliseconds. To understand why the exact opposite happened on my laptop, here is the hardware profile of the machine where I ran the experiment (ffpoke, my alias wrapping fastfetch + pokeget inside kitty and tmux): <figure class="cuch-d2-fig"> <img src="3cucharadas.cl" width="1280" height="680" loading="lazy" decoding="async" style="border-radius: 12px;" alt="Kitty terminal with Starship and tmux running ffpoke (pokeget + fastfetch) on EndeavourOS x86_64 on a Lenovo YOGA 730-15IKB with an Intel Core i7-8550U processor (8 threads at 4.00 GHz, 15 W TDP, AVX2), Intel UHD 620 integrated graphics, and 23.19 GiB of RAM without dedicated VRAM."> <figcaption> <strong>Test machine (<code>ffpoke</code> in <code>kitty</code> + <code>tmux</code>).</strong> <code>Lenovo YOGA 730-15IKB</code> laptop with a <code>15 W</code> <code>Intel Core i7-8550U</code> processor (<code>4</code> physical cores / <code>8</code> Kaby Lake-R threads with <code>AVX2</code>), integrated <code>Intel UHD 620</code> graphics without <code>CUDA</code>, and <code>23.19 GiB</code> of DDR4 RAM on <code>EndeavourOS</code>. </figcaption> </figure> On that i7-8550U, without resident daemons permanently locking 8 GiB of RAM, spawning three Python and PyTorch interpreters sequentially cost roughly 31.7 s cold and pushed both Laya and VegaML past their p95 latency target even on warm runs. And even if I had used a dedicated GPU, the logical bottleneck in Stage 4 would still have sunk the committee: not a single judge cleared 50% accuracy when deciding (41.41%, 40.80%, and 47.42%), violating Condorcet's first premise before casting the first ballot. --- Spoonful 3: The jury ballots and the 66.67% paradox To see why the committee hit 10 out of 15 when it reached agreement (66.67% selective accuracy) and still proved useless in practice, it suffices to inspect three real ballots from my 240-case bank (80 calibration and 160 test cases): <div class="duels-stack"> <div class="duel-card duel-card--paralisis"> <div class="duel-cardfamily">Family 1 · Contractual precedence (Why "No" vanished)</div> <div class="duel-cardquote">"An unsigned draft does not replace the signed record. The signed record says <code>red</code> and the draft says <code>green</code>. Is the active value <code>green</code>?" → <strong>Ground truth: "No"</strong></div> <div class="duel-card__ballots"> <span class="ballot ballot--yes">Laya: YES ✗</span> <span class="ballot ballot--no">VegaML: NO ✓</span> <span class="ballot ballot--mute">Arc: ABSTAIN (conf < 0.66)</span> <span class="ballot ballot--verdict-amber">2-of-3 Verdict: UNDEFINED (Deadlock)</span> </div> </div> <div class="duel-card"> <div class="duel-cardfamily">Family 2 · Direct evidence (When the tie-breaker certifies an error)</div> <div class="duel-cardquote">"The expected hash is <code>aa00</code> and the observed hash is <code>bb11</code>. Do the hashes match?" (<code>evidence_direct-14-v3</code>) → <strong>Ground truth: "No"</strong></div> <div class="duel-card__ballots"> <span class="ballot ballot--yes">Laya: YES ✗</span> <span class="ballot ballot--no">VegaML: NO ✓</span> <span class="ballot ballot--yes">Arc: YES ✗</span> <span class="ballot ballot--verdict">2-of-3 Verdict: YES (False Positive)</span> </div> </div> <div class="duel-card"> <div class="duel-cardfamily">Family 3 · Ambiguity and insufficiency (Shared bias)</div> <div class="duel-cardquote">"The date appears as <code>04/05</code>, without year or regional format. Is it May 4, 2026?" (<code>negation_ambiguity_insufficient-18-v2</code>) → <strong>Ground truth: "Undefined"</strong></div> <div class="duel-card__ballots"> <span class="ballot ballot--yes">Laya: YES ✗</span> <span class="ballot ballot--yes">VegaML: YES ✗</span> <span class="ballot ballot--mute">Arc: ABSTAIN</span> <span class="ballot ballot--verdict">2-of-3 Verdict: YES (False Positive)</span> </div> </div> </div> Those three ballots sum up the entire experiment better than a spreadsheet of numbers: 1. "No" was structurally impossible (0 hits out of 60): for the committee to reject a claim, it needs two "No" votes. Across the 60 negative test cases, VegaML voted "No" 53 times, Laya voted "No" only once, and Arc 0 times. Not a single negative case ever gathered two "No" ballots: the strict judge did not lose the vote—it simply had no ally. 2. The 66.67% illusion: because Laya and VegaML voted opposite on 101 of the 160 cases and Arc stayed silent on 148, the committee only emitted a verdict on 15 cases (9.38% coverage). It got 10 of those 15 right (66.67%, with a 95% Wilson interval of 41.7% to 84.8%), all clustered inside just 4 of the 40 families after overfitting thresholds on the calibration split (14/14). 3. Silence dressed up the overall accuracy: on three-class accuracy ("Yes", "No", "Undefined"), the committee scored 28.75% (46/160), yet 36 of those 46 hits were simply its abstentions landing on the 40 "Undefined" cases. A one-line script that always answers "Undefined" already scores 25.00% without spending RAM or waiting half a minute: <div class="scoreboard" role="region" aria-label="Comparative scoreboard of the 2-of-3 judge committee against each standalone model and the Always Undefined baseline"> <h4 class="scoreboardtitle">Final scoreboard across the 160 test cases (60 "Yes" · 60 "No" · 40 "Undefined")</h4> <p class="scoreboardsub">Contrast between accuracy when the evaluator dares to decide (selective accuracy + coverage) and overall three-class accuracy.</p> <div class="score-row"> <div class="score-rowtop"> <span><strong>🏆 Arc Decide 0.4B (solo)</strong> — Best standalone model</span> <span><code>0.59 GiB</code> · <code>4.21 s</code> cold · <code>49</code> FP · <code>5/60</code> on "No"</span> </div> <div class="score-bars"> <div class="score-metric"> <div class="score-metrichead"><span>Hit rate when deciding (coverage 60.63%)</span><strong>47.42%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--amber" style="width:47.4%;"></div></div> </div> <div class="score-metric"> <div class="score-metric__head"><span>3-class accuracy (68/160)</span><strong>42.50%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--green" style="width:42.5%;"></div></div> </div> </div> </div> <div class="score-row"> <div class="score-rowtop"> <span><strong>Laya 0.4.11 (solo)</strong> — The optimist</span> <span><code>2.26 GiB</code> · <code>13.83 s</code> cold · <code>73</code> FP · <code>52/60</code> on "Yes"</span> </div> <div class="score-bars"> <div class="score-metric"> <div class="score-metrichead"><span>Hit rate when deciding (coverage 80.00%)</span><strong>41.41%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--cyan" style="width:41.4%;"></div></div> </div> <div class="score-metric"> <div class="score-metric__head"><span>3-class accuracy (66/160)</span><strong>41.25%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--cyan" style="width:41.25%;"></div></div> </div> </div> </div> <div class="score-row"> <div class="score-rowtop"> <span><strong>VegaML 0.11.0 (solo)</strong> — The pessimist</span> <span><code>4.93 GiB</code> · <code>13.66 s</code> cold · <code>4</code> FP · <code>51/60</code> on "No"</span> </div> <div class="score-bars"> <div class="score-metric"> <div class="score-metrichead"><span>Hit rate when deciding (coverage 78.13%)</span><strong>40.80%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--rose" style="width:40.8%;"></div></div> </div> <div class="score-metric"> <div class="score-metric__head"><span>3-class accuracy (61/160)</span><strong>38.13%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--rose" style="width:38.13%;"></div></div> </div> </div> </div> <div class="score-row"> <div class="score-rowtop"> <span><strong>⚖️ 2-of-3 Committee (Laya + VegaML + Arc)</strong> — Deadlock by opposite biases</span> <span><code>~31.7 s</code> serial · <code>3</code> FP · <strong><code>0/60</code> on "No"</strong></span> </div> <div class="score-bars"> <div class="score-metric"> <div class="score-metrichead"><span>Hit rate when deciding (10/15 · coverage 9.38%)</span><strong>66.67%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--amber" style="width:66.7%;"></div></div> </div> <div class="score-metric"> <div class="score-metric__head"><span>3-class accuracy (36 of 46 are abstentions)</span><strong>28.75%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--rose" style="width:28.75%;"></div></div> </div> </div> </div> <div class="score-row"> <div class="score-rowtop"> <span><strong>Trivial baseline: always answer "Undefined"</strong></span> <span><code>0.00 GiB</code> · <code>0 ms</code> · <code>0</code> FP</span> </div> <div class="score-bars"> <div class="score-metric"> <div class="score-metrichead"><span>Hit rate when deciding (coverage 0.00%)</span><strong>N/A</strong></div> <div class="bar-track"><div class="bar-fill" style="width:0%;"></div></div> </div> <div class="score-metric"> <div class="score-metric__head"><span>3-class accuracy (40/160 free hits)</span><strong>25.00%</strong></div> <div class="bar-track"><div class="bar-fill bar-fill--cyan" style="width:25.0%;"></div></div> </div> </div> </div> </div> --- Research takeaways: which open model could run in milliseconds on my i7-8550U When would a JEV-style classifier committee actually make sense? When each judge clears 50% accuracy on every class out-of-sample (Condorcet 1785[^condorcet1785]), when their errors are uncorrelated (Dietterich 2000[^dietterich2000]), when their probabilities are properly calibrated (Guo et al. 2017[^guo2017]), and when at least two judges have real sensitivity to vote "No". Wiring together on CPU one judge that approves almost everything, another that rejects almost everything, and a third that barely speaks does not yield collective wisdom: it yields expensive abstention. That is why I retired the prototype. Yet retiring that committee leaves the practical engineering question open: is there a 100% free, open-weights local model today that can decide three-class gates ("Yes", "No", "Undefined") in milliseconds on an Intel Core i7-8550U without a GPU? I believe so, provided I switch architectural families and stop treating logical verification as a text-generation problem; but that is a hypothesis this experiment did not test. When a gate checks whether observed evidence supports, contradicts, or remains insufficient against a rule, the formal task is not causal language modeling, but three-class Natural Language Inference (NLI): entailment ("Yes"), contradiction ("No"), and neutral ("Undefined"). In that category, the candidate I propose to measure next is cross-encoder/nli-deberta-v3-small, built on the DeBERTaV3 architecture (He, Gao, and Chen 2023[^he2023]); its repository also ships an ONNX INT8 build for AVX2 CPUs that runs with onnxruntime, and optimum can export others. The idea of reusing an NLI model as a classifier comes from Laurer et al. (2024[^laurer2024]), whose model family includes a larger variant, MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli. I have not yet measured either one on my 160-case bank: <div class="nli-solution-card" role="region" aria-label="Technical specification of the open model I propose to measure on CPU: cross-encoder/nli-deberta-v3-small in ONNX INT8"> <div class="nli-solution-cardtop"> <h3 class="nli-solution-cardtitle">Hypothesis to measure on CPU: nli-deberta-v3-small (ONNX INT8)</h3> <div class="jev-chips"> <a class="jev-chip" href="huggingface.co" target="_blank" rel="noopener">HF Model (Apache)</a> <a class="jev-chip jev-chip--amber" href="arxiv.org" target="_blank" rel="noopener">DeBERTaV3 Paper</a> <a class="jev-chip" href="onnxruntime.ai" target="_blank" rel="noopener">ONNX Runtime</a> </div> </div> <p class="nli-solution-carddesc"> Bidirectional <em>cross-encoder</em> with <strong>disentangled attention</strong> (separating content and relative position) pre-trained via <em>replaced token detection</em> (ELECTRA) and fine-tuned on <code>SNLI</code> + <code>MultiNLI</code>. It evaluates premise and hypothesis jointly in a single forward pass without loading PyTorch. </p> <div class="nli-solution-cardgrid"> <div class="nli-solution-cardmetric"> <strong>Latency still to be measured</strong> I did not run it on this bank. Because it decides in a single pass without generating text, my hypothesis is that it will land well below the committee's <code>366–1,717 ms</code> warm and <code>~31.7 s</code> cold. </div> <div class="nli-solution-cardmetric"> <strong>~165 MiB on disk (ONNX INT8 for AVX2)</strong> <code>44M</code> backbone parameters (<code>142M</code> total with vocabulary embeddings); the <code>model_quint8_avx2.onnx</code> file takes about <code>165 MiB</code> on disk. Its runtime RAM is still to be measured, so I do not yet compare it with the roughly <code>7.8 GiB</code> of RAM used by the three judges. </div> <div class="nli-solution-card__metric"> <strong>3 native classes ("Yes" / "No" / "Undefined")</strong> Emits direct logits for <code>contradiction</code>, <code>entailment</code>, and <code>neutral</code> (<code>87.55%</code> on MNLI <em>mismatched</em>, according to its model card). Whether that fixes the <code>"No"</code> blindness (<code>0/60</code>) on my gates remains to be measured. </div> </div> </div> The takeaway I keep from this proof of concept has a measured part and an unmeasured one. Measured: on a work laptop without a dedicated accelerator, a committee of mismatched models did not beat its best individual judge on three-class accuracy and never managed to say "No". Still a hypothesis: that a single small NLI cross-encoder, calibrated and compiled to ONNX INT8, would beat it in latency, memory footprint, and sensitivity to say "No". When verification is deterministic (a hash, a JSON schema, or an exit code), a 0 ms code rule remains unbeatable; and when I genuinely need to judge semantic entailment or contradiction locally, my next step is not to stack three judges in series, but to measure an architecture designed for that task first. --- References [^arc532025]: Arc53. 2025. "arc-decide-0.4b-v0.2: Compact ONNX Decision Classifier". Hugging Face model repository. huggingface.co. [^browseruse2026]: Browser Use and TypeSafe AI. 2026. "JEV Ultrafast: Sub-Second Browser Agent Actions with Jev Decision Models". Official GitHub repository. browser-use/jev-ultrafast. [^condorcet1785]: Condorcet, Jean-Antoine-Nicolas de Caritat, Marquis de. 1785. Essai sur l'application de l'analyse à la probabilité des décisions rendues à la pluralité des voix. Paris: Imprimerie Royale. [^dietterich2000]: Dietterich, Thomas G. 2000. "Ensemble Methods in Machine Learning". In Multiple Classifier Systems (MCS 2000), Lecture Notes in Computer Science, vol. 1857, 1–15. Berlin: Springer. Scholar [^guo2017]: Guo, Chuan, Geoff Pleiss, Yu Sun, and Kilian Q. Weinberger. 2017. "On Calibration of Modern Neural Networks". In Proceedings of the 34th International Conference on Machine Learning (ICML), PMLR 70: 1321–1330. [^he2023]: He, Pengcheng, Jianfeng Gao, and Weizhu Chen. 2023. "DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing". In International Conference on Learning Representations (ICLR 2023). arXiv · Scholar [^laurer2024]: Laurer, Moritz, Wouter van Atteveldt, Andreu Casas, and Kasper Welbers. 2024. "Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI". Political Analysis 32 (1): 84–100. Model from the same family: huggingface.co. DOI · Scholar [^nandhakishorm2026a]: NandhaKishorM (ConvAI Innovations). 2026a. "Laya: System 1 Non-Autoregressive Multilingual Decision Engine". GitHub repository. NandhaKishorM/laya. [^nandhakishorm2026b]: NandhaKishorM. 2026b. "VegaML: Potential-Well Physics Decision Engine over Frozen Language Backbones". GitHub repository. NandhaKishorM/vegaml.
If you are building a personal agent and want to make your browser interaction SOTA use browser use pi + browser use cloud browser browser-use/browser-use-pi
Your free AI agent keeps getting IP-blocked: route Crawl4AI and browser-use through a free proxy --- title: "Your free AI agent keeps getting IP-blocked: route Crawl4AI and browser-use through a free proxy" published: true description: Agents that browse from one IP get rate-limited fast. Here's working Python code that sends Crawl4AI and browser-use through a free rotating proxy pool, plus an honest list of what a proxy can't fix. tags: ai, python, webscraping, agents --- You built a small agent. It reads pages with Crawl4AI or drives a browser with browser-use, it runs on your laptop or a free-tier VM, and for the first fifty pages it works great. Then the 429s start. Then a site quietly serves you an empty page. Then a cloud IP gets blocked outright. Most of the time that isn't your code. It's the fact that every request your agent makes leaves from the same IP, and agents make a lot of requests, very fast, with no human pauses. Sites rate-limit per IP, and datacenter IPs (Colab, GitHub Actions, any cheap VPS) start out half-blocked anyway. The fix is old and boring: spread the requests over many IPs. This post shows how to do that for free, with code for Crawl4AI and browser-use that I ran against the live pool before posting. > Disclosure: I run SolProxy. The free pool below is ours. The code works with any HTTP proxy that takes a username and password; only the address changes. What a proxy fixes, and what it doesn't Before the code, be clear about what you're buying (even when it costs $0): A rotating proxy helps with: - Per-IP rate limits ("too many requests from this IP"). - IP bans after your agent hammered one site. - Datacenter IP blocks, when the exit is a home connection. - Geo: seeing the page a visitor from another country sees. It does not help with: - Serious bot protection (Cloudflare challenges, DataDome, PerimeterX, Amazon). Those look at the browser fingerprint and behaviour, not just the IP. In our own test, the free pool got through on 0 of 36 tries against protected sites. Free proxies won't change that, and paid ones only sometimes do. - Captchas. - Logins. Never send a password or session cookie through a free proxy. If your agent mostly reads docs, blogs, forums, listings and news, IP rotation is the thing that's missing. If it fights Cloudflare all day, you need more than a proxy. The free pool in one paragraph SolProxy's free list re-tests public proxies every minute with a real HTTPS request and drops any that tamper with TLS. With a free account you also get one gateway address, ws.solproxy.net:8501, that picks a live proxy for each connection, only from the ones that passed at least 9 of their last 10 checks, and retries on another one if it dies. You never handle a list. Limits, so nothing surprises you later: 25 GB per account per month, 2.5 GB per day, 16 connections at a time. The whole free pool also has a monthly budget; if it runs out you get a 503 until the 1st of the month. Setup: register, copy your token from the dashboard, and use it as the proxy password: export SOLPROXY_TOKEN=your_token_here curl -x "http://free:$SOLPROXY_TOKEN@ws.solproxy.net:8501" https://api.ipify.org You should see an IP that isn't yours. 1. Crawl4AI: pages to LLM-ready markdown, through the pool Crawl4AI turns a page into clean markdown your model can read. It takes a proxy in BrowserConfig: pip install crawl4ai crawl4ai-setup # installs the browser # crawl_tool.py import asyncio import os from crawl4ai import AsyncWebCrawler, BrowserConfig, CacheMode, CrawlerRunConfig, ProxyConfig SOLPROXY = ProxyConfig( server="http://ws.solproxy.net:8501", username="free", # flags go here: "free-us", "free-sticky10m-job1" password=os.environ["SOLPROXY_TOKEN"], # your token from the dashboard ) BROWSER = BrowserConfig(headless=True, proxy_config=SOLPROXY) RUN = CrawlerRunConfig(cache_mode=CacheMode.BYPASS, page_timeout=45_000) async def fetch_markdown(url: str, tries: int = 3) -> str: """Fetch a page through the free pool and return LLM-ready markdown.""" last = "no attempt" for _ in range(tries): # A new browser means new connections, so each try leaves from another proxy. async with AsyncWebCrawler(config=BROWSER) as crawler: r = await crawler.arun(url, config=RUN) if r.success and (r.status_code or 200) < 400: return r.markdown.raw_markdown last = f"{r.status_code} {r.error_message or ''}".strip() raise RuntimeError(f"{url}: failed after {tries} tries ({last})") if __name__ == "__main__": md = asyncio.run(fetch_markdown("https://news.ycombinator.com")) print(md[:500]) fetch_markdown is already an agent tool. Give it to whatever framework you use (LangGraph, the OpenAI or Anthropic tool-calling APIs, smolagents, CrewAI) as "fetch this URL and return its text", and every page your agent reads goes out through a different IP. Free proxies die mid-request. That's why the retry loop is there: a failed try is cheap, and the next one leaves from a different proxy. 2. browser-use: a full browsing agent behind the pool browser-use lets an LLM click and type in a real browser. Its Browser takes a proxy too: pip install browser-use # agent.py import asyncio import os from browser_use import Agent, Browser, ChatOpenAI from browser_use.browser.profile import ProxySettings browser = Browser( headless=True, proxy=ProxySettings( server="http://ws.solproxy.net:8501", username="free-sticky10m-agent1", # keep one exit IP for 10 minutes password=os.environ["SOLPROXY_TOKEN"], ), ) agent = Agent( task="Open news.ycombinator.com and list the top 5 story titles with their points.", llm=ChatOpenAI(model="gpt-4.1-mini"), # any LLM browser-use supports browser=browser, ) asyncio.run(agent.run()) Note the username. A browsing agent does several steps on one site, and a site that sees the same visitor jump between IPs mid-session gets suspicious. -sticky10m-agent1 keeps the same proxy for up to 10 minutes (or until it dies); the part after it (agent1) is your own session name, so two agents running side by side each get their own pinned proxy. For one-off page reads (the Crawl4AI case), leave it off and let every connection rotate. 3. Plain Playwright If your agent drives Playwright directly: import asyncio import os from playwright.async_api import async_playwright async def main(): async with async_playwright() as p: browser = await p.chromium.launch(proxy={ "server": "http://ws.solproxy.net:8501", "username": "free", "password": os.environ["SOLPROXY_TOKEN"], }) page = await browser.new_page() await page.goto("https://api.ipify.org") print(await page.inner_text("body")) # the proxy's IP, not yours await browser.close() asyncio.run(main()) One thing you'll see in a lot of proxy tutorials: ignore_https_errors=True. Don't. HTTPS through an HTTP proxy is an encrypted tunnel; the proxy only sees the hostname. That stays true only while certificate checks are on. If something only works with checks off, a proxy in the chain is swapping certificates and can read your traffic. Our pool drops those, but your browser is the last line of defence, so leave it on. Useful flags All flags go in the username, in any order: | Username | What it does | |---|---| | free | New proxy per connection | | free-us, free-de | Prefer that country (falls back to any if none is live) | | free-sticky10m-mysession | Same proxy for up to 10 minutes while it stays up (sticky1m up to sticky1h) | | free-residential | Only IPs whose ISP isn't a known hosting company. Returns 503 instead of falling back | How it did when I ran it I ran the Crawl4AI code and the browser-use proxy setup against the live pool from a home connection before posting (Crawl4AI 0.9.5, browser-use 0.13.14, Playwright 1.64.1). One run, so read it as a sanity check, not a benchmark: - Rotation: four free requests to ipify came out from four different IPs. - Plain sites: Hacker News, Wikipedia, GitHub Trending, quotes.toscrape and books.toscrape all came back as full markdown, in 3 to 6 seconds each. Hacker News failed once with a 503 and worked on the retry, which is exactly why fetch_markdown retries. - Reddit made the browser pass a JavaScript check first, then returned the real page (9 seconds). - Amazon returned a "click to continue shopping" bot page. Crawl4AI still reported it as a success, so don't trust success alone: if the markdown is a few hundred characters, it's probably a block page. Check for text you expect before you hand it to the model. - browser-use: its browser logged in to the pool with the sticky username and loaded pages through it with no extra setup. (The LLM part of the agent doesn't care which proxy is underneath.) One thing about sticky sessions: free proxies die, and when a pinned one does, the gateway quietly moves you to another live one instead of failing. So "sticky" means "the same proxy for as long as it stays up, up to 10 minutes", not a guarantee. When free stops being enough You'll know: you hit the 2.5 GB daily cap, or a target needs a real residential IP that doesn't fall over. The paid pool on the same gateway is $1.00 to $1.20 per GB with no tiers, and the code above doesn't change apart from the username and port. But start free; most agents never need more. If something in the code breaks with a newer Crawl4AI or browser-use version, leave a comment and I'll fix the post.
@gsobregrau Opus 5.5 a pelo o tmb hay skills browser-use/video-use github.com/heygen-com/hyperframes/blob/HEAD/skill…
SlothSurf: The Zero-Effort Autonomous Browser Agent for Lazy Humans 🦥 This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built October 20th is International Sloth Day, and sloths have life figured out: they move at their own pace, conserve energy, and never burn calories unless absolutely necessary. Meanwhile, humans spend hours every day on tedious digital chores: - Digging through 50 Hacker News or Reddit comments to find the actual point - Checking 3 weather sites to decide whether to get out of bed - Comparing prices across tabs while popups block the screen - Filling out multi-page web forms SlothSurf is an autonomous browser agent that takes a high-level instruction ("Summarize the top 3 tech discussions today", "Find me a budget coffee maker under $25", "Check the weather and tell me if I have permission to stay in bed") and executes it inside a real Chromium browser: navigating, scrolling, clicking, extracting the key insight, and handing you the answer while you stay on the couch. It features: - Interactive Sloth CLI with ASCII art, real-time step streaming, and lazy presets - Streamlit web dashboard with a one-click mission launcher plus model and slow-motion sliders - Sloth-tuned prompt that conserves actions, takes the most direct clicks, and delivers the bare minimum needed to keep you informed Code {% embed algo-abdullah/slothsurf %} Run it yourself in 3 steps: # 1. Clone & install git clone https://github.com/algo-abdullah/slothsurf.git cd slothsurf pip install -r requirements.txt playwright install chromium # 2. Add your Grok API key echo "XAI_API_KEY=your_xai_key_here" > .env # 3. Launch python main.py # Terminal CLI streamlit run app.py # Web dashboard How I Built It The architecture is clean and decoupled: [ User (CLI / Streamlit UI) ] │ ▼ [ Sloth Agent Engine ] ├── Agent harness: browser-use (open source) ├── Browser controller: Playwright (Chromium) └── Vision reasoning: xAI Grok API (grok-2-vision-1212) │ ▼ [ Live Chromium Browser Navigation ] - Harness: browser-use handles screenshot capture, coordinate mapping, and browser action sequencing. - Brain: grok-2-vision-1212 via the xAI API for fast vision grounding and concise answers. - Interface: a Rich CLI for terminal lovers and Streamlit for visual desktop users. Why Does Open Innovation Matter? No lock-in, no license fees. Closed RPA and cloud browser-automation platforms (UiPath, agent SaaS products) charge monthly subscriptions, restrict you to their proprietary cloud browsers, and gate API access. Building on browser-use and open Playwright standards means the whole agent layer is free software that I own, modify, and run on my own machine. Model agnostic. Because the harness uses the standard OpenAI/LangChain client interface, I connected it to Grok for fast visual reasoning, but I can swap to local open-weight models (Qwen2-VL, Llama-3.2-Vision) with a single environment variable change whenever I need offline privacy. A closed automation bot would have locked me into one model. Inspectable and private. Web agents touch cookies, tabs, and personal accounts. With an open harness, every DOM extraction, screenshot, and coordinate click is visible in Python code, and nothing phones home telemetry to a corporate vendor. The Lazy Payoff The future of AI shouldn't just be about working faster; it should be about working less. SlothSurf turns multi-tab, multi-click chores into one sentence typed from the couch. Stay slow, stay steady, and happy International Sloth Day! 🦥 ---
i’m editing my own videos with claude now here’s the setup: 1. install claude code 2. paste this into claude: set up browser-use/video-use for me. read install.md first and tell me when it’s ready 3. add your elevenlabs api key when asked 4. put your raw clips in one folder 5. open claude code inside that folder then use this prompt: remove bad takes and long pauses, keep the natural rhythm, add captions in my style and export 9:16 claude transcribes the clips and shows you a cut plan once you approve it, the finished video appears as edit/final.mp4 for changes, send the timestamp: undo the cut at 00:18
GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey This is GitHub Trending Weekly #55. 35 trending open-source projects on GitHub right now. Paid channel subscription: youtube.com Text version link: githubawesome.com 00:00 - Introduction 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher Thank you so much for watching. Please like the video and subscribe to our channel. #github #ai #opensource Notice: The content was created with the assistance of AI and may contain inaccuracies or errors. ▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Buy Me A Coffee link.githubawesome.com [ar] أبرز مشاريع GitHub لهذا الأسبوع #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openter... هذا هو العدد 55 من نشرة GitHub الأسبوعية لأكثر المشاريع رواجاً. يضم هذا العدد 35 مشروعاً مفتوح المصدر رائجاً على GitHub حالياً. الاشتراك المدفوع في القناة: youtube.com رابط النسخة النصية: githubawesome.com 00:00 - مقدمة 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher شكرًا جزيلًا على المشاهدة. يُرجى الإعجاب بالفيديو والاشتراك في قناتنا. #جيت_هاب #الذكاء_الاصطناعي #المصادر_المفتوحة ملاحظة: تم إنشاء هذا المحتوى بمساعدة الذكاء الاصطناعي، وقد يحتوي على بعض الأخطاء أو عدم الدقة. ▬▬▬▬▬▬ 👋 تواصل معي 👋 ▬▬▬▬▬▬ ➡ لينك تري: link.githubawesome.com ➡ ادعمنا: link.githubawesome.com [bn] গিটহাব ট্রেন্ডিং উইকলি #৫৫: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey এটি গিটহাব ট্রেন্ডিং উইকলি #৫৫। এই মুহূর্তে গিটহাবে ৩৫টি ট্রেন্ডিং ওপেন-সোর্স প্রজেক্ট। পেইড চ্যানেল সাবস্ক্রিপশন: youtube.com টেক্সট ভার্সনের লিঙ্ক: githubawesome.com ০০:০০ - ভূমিকা ০০:১১ - owly t4t5/owly ০০:৩৮ - ai-job-search ai-job-search-dev/ai-job-search ০১:০৩ - tsrs oxc-project/tsrs ০১:২৯ - new-term-radar zhuyansen/new-term-radar ০১:৫২ - security-audit-skill cloudflare/security-audit-skill ০২:১৮ - dev-null.sh dev-null-sh/dev-null.sh ০২:৪৩ - laya NandhaKishorM/laya ০৩:১০ - 3d-model-anything wesbos/3d-model-anything ০৩:৩৩ - rossark-motion-skill rossark0/rossark-motion-skill ০৪:০২ - reylo colinhacks/reylo ০৪:২৯ - openterminal spovalova/openterminal ০৪:৫৫ - hatchzip xevrion/hatchzip ০৫:২৩ - dquickts stencil-hq/dquickts ০৫:৪৭ - ming-voice JMS1717/ming-voice ০৬:১৪ - onkey dsmurrell/onkey ০৬:৪১ - Sumi.css vladocar/Sumi.css ০৭:০৭ - rl-env-use browser-use/rl-env-use ০৭:৩৫ - img2interior img2threejs/plugin-interior ০৮:০২ - Rubix-lang tek-sys-hub/Rubix-lang ০৮:২৮ - motion2code lovisdotio/motion2code ০৮:৫৪ - omnara omnara-ai/omnara ০৯:২০ - ELYTerminal ELY-Open-Source/ELYTerminal ০৯:৪৪ - prompt2rig blendi-remade/prompt2rig ১০:০৮ - ভিডিও-শর্ট petergyang/video-short ১০:৩৪ - পেনমেন্টর AbdullahAlhariri/penmentor ১১:০২ - রেক recursive-oss/rec ১১:৩০ - বিটকিন্ডল tombkeeper/BitKindle ১১:৫৫ - ওপাল xingjian-bai/opal ১২:২২ - বার্সার Samsara-1999/Bursar ১২:৪৭ - ওপেনভিএলহারনেস uclanlp/OpenVLHarness ১৩:১০ - ভিডিও-এডিটর-স্কিলস appariciojunior/video-editor-skills ১৩:৩৬ - ওপেন-ম্যাথ-হারনেস openmathmodel/open-math-harness ১৪:০২ - বাম্বু-বার rolottr/bambu-bar ১৪:২৫ - হাইথ্রিডিভি১.০ hi3d-official/Hi3Dv1.0 ১৪:৫১ - প্লুম_লঞ্চার aradhyas8/Plume_Launcher দেখার জন্য আপনাকে অনেক ধন্যবাদ। অনুগ্রহ করে ভিডিওটি লাইক করুন এবং আমাদের চ্যানেলটি সাবস্ক্রাইব করুন। #github #ai #opensource বিজ্ঞপ্তি: এই কন্টেন্টটি এআই (AI)-এর সহায়তায় তৈরি করা হয়েছে এবং এতে ভুল বা ত্রুটি থাকতে পারে। ▬▬▬▬▬▬ 👋 আমার সাথে যোগাযোগ করুন 👋 ▬▬▬▬▬▬ ➡ লিঙ্কট্রি: link.githubawesome.com ➡ বাই মি এ কফি: link.githubawesome.com [de-DE] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey Dies ist GitHub Trending Weekly #55. 35 aktuell angesagte Open-Source-Projekte auf GitHub. Abonnement des kostenpflichtigen Kanals: youtube.com Link zur Textversion: githubawesome.com 00:00 – Einführung 00:11 – owly t4t5/owly 00:38 – ai-job-search ai-job-search-dev/ai-job-search 01:03 – tsrs oxc-project/tsrs 01:29 – new-term-radar zhuyansen/new-term-radar 01:52 – security-audit-skill cloudflare/security-audit-skill 02:18 – dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - Video-Editor-Fähigkeiten appariciojunior/video-editor-skills 13:36 – Open Math Harness openmathmodel/open-math-harness 14:02 – Bambus Bar rolottr/bambu-bar 14:25 – Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 – Plume Launcher aradhyas8/Plume_Launcher Vielen Dank fürs Zuschauen! Bitte liken Sie das Video und abonnieren Sie unseren Kanal. #github #ai #opensource Hinweis: Der Inhalt wurde mithilfe von KI erstellt und kann Ungenauigkeiten oder Fehler enthalten. ▬▬▬▬▬▬ 👋 Kontakt 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Unterstütze mich mit einer Spende: link.githubawesome.com [es-US] GitHub Tendencias Semanal #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal,... Este es el GitHub Trending Weekly #55. 35 proyectos de código abierto que son tendencia en GitHub en este momento. Suscripción de pago al canal: youtube.com Enlace a la versión en texto: githubawesome.com 00:00 - Introducción 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher Muchas gracias por ver el video. Dale me gusta y suscríbete a nuestro canal. #github #ai #opensource Aviso: El contenido se creó con la ayuda de IA y puede contener imprecisiones o errores. ▬▬▬▬▬▬ 👋 Contáctame 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Invítame a un café: link.githubawesome.com [fr-FR] GitHub Trending Weekly #55 : owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, o... Voici le top 55 des tendances hebdomadaires sur GitHub. Découvrez 35 projets open source populaires sur GitHub en ce moment. Abonnement payant à la chaîne : youtube.com Lien vers la version texte : githubwesome.com 00:00 - Introduction 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - Compétences en montage vidéo : appariciojunior/video-editor-skills 13:36 - OpenMathHarness : openmathmodel/open-math-harness 14:02 - Bambu-bar : rolottr/bambu-bar 14:25 - Hi3Dv1.0 : hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher : aradhyas8/Plume_Launcher Merci beaucoup d'avoir regardé cette vidéo. N'hésitez pas à la liker et à vous abonner à notre chaîne. #github #ai #opensource Avertissement : Ce contenu a été créé avec l'aide d'une IA et peut contenir des inexactitudes ou des erreurs. ▬▬▬▬▬▬ 👋 Contactez-moi 👋 ▬▬▬▬▬▬ ➡ LinkTree : link.githubawesome.com ➡ Offrez-moi un café : link.githubawesome.com [hi] GitHub ट्रेंडिंग वीकली #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey यह GitHub ट्रेंडिंग वीकली का 55वां अंक है। GitHub पर इस समय ट्रेंडिंग 35 ओपन-सोर्स प्रोजेक्ट्स की सूची। चैनल की सशुल्क सदस्यता: youtube.com टेक्स्ट संस्करण का लिंक: githubawesome.com 00:00 - परिचय 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - लाया NandhaKishorM/laya 03:10 - 3डी-मॉडल-एनीथिंग wesbos/3%E0%A4%A1%E0%A5%80-%E0%A4%AE%E0%A5%89%E0%A4%A1%E0%A4%B2-%E0%A4%8F%E0%A4%A8%E0%A5%80%E0%A4%A5%E0%A4%BF%E0%A4%82%E0%A4%97 03:33 - रॉसार्क-मोशन-स्किल rossark0/rossark-motion-skill 04:02 - रेयलो colinhacks/reylo 04:29 - ओपनटर्मिनल spovalova/openterminal 04:55 - हैचज़िप xevrion/hatchzip 05:23 - डीक्विक्ट्स stencil-hq/dquickts 05:47 - मिंग-वॉइस JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - वीडियो एडिटर स्किल्स appariciojunior/video-editor-skills 13:36 - ओपन मैथ हार्नेस openmathmodel/open-math-harness 14:02 - बंबू बार rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - प्लूम लॉन्चर aradhyas8/Plume_Launcher वीडियो देखने के लिए बहुत-बहुत धन्यवाद। कृपया वीडियो को लाइक करें और हमारे चैनल को सब्सक्राइब करें। #github #ai #opensource सूचना: यह सामग्री AI की सहायता से बनाई गई है और इसमें कुछ त्रुटियाँ या अशुद्धियाँ हो सकती हैं। ▬▬▬▬▬▬ 👋 मुझसे संपर्क करें 👋 ▬▬▬▬▬▬ ➡ लिंक ट्री: link.githubawesome.com ➡ मुझे कॉफ़ी पिलाएँ: link.githubawesome.com [id] GitHub Trending Mingguan #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, ... Ini adalah GitHub Trending Weekly #55. 35 proyek open-source yang sedang tren di GitHub saat ini. Langganan saluran berbayar: youtube.com Tautan versi teks: githubawesome.com 00:00 - Pendahuluan 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher Terima kasih banyak telah menonton. Silakan sukai video ini dan berlangganan saluran kami. #github #ai #opensource Peringatan: Konten ini dibuat dengan bantuan AI dan mungkin mengandung ketidakakuratan atau kesalahan. ▬▬▬▬▬▬ 👋 Hubungi saya 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Dukung saya dengan membeli kopi: link.githubawesome.com [it] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey Questa è la rubrica settimanale "GitHub Trending #55". 35 progetti open source di tendenza su GitHub in questo momento. Abbonamento a pagamento al canale: youtube.com Link alla versione testuale: githubawesome.com 00:00 - Introduzione 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh Italiano: dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice Italiano: JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal Italiano: ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness Italiano: uclanlp/OpenVLHarness 13:10 - Video Editor Skills appariciojunior/video-editor-skills 13:36 - OpenMath Harness openmathmodel/open-math-harness 14:02 - Bambu Bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume Launcher aradhyas8/Plume Launcher Grazie mille per aver guardato il video. Metti mi piace e iscriviti al nostro canale. #github #ai #opensource Nota: il contenuto è stato creato con l'aiuto dell'IA e potrebbe contenere imprecisioni o errori. ▬▬▬▬▬▬ 👋 Contattami 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Offrimi un caffè link.githubawesome.com [iw] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey זהו מגזין GitHub Trending Weekly #55. 35 פרויקטים בקוד פתוח פופולריים ב-GitHub כרגע. מנוי לערוץ בתשלום: youtube.com קישור לגרסת טקסט: githubawesome.com 00:00 - מבוא 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - לאיה NandhaKishorM/laya 03:10 - מודל תלת-ממדי wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - ריילו colinhacks/reylo 04:29 - טרמינל פתוח spovalova/openterminal 04:55 - האצ'יפ xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - מינג-קול JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - סרטון קצר petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - מיומנויות עריכת וידאו appariciojunior/video-editor-skills 13:36 - רתמת מתמטיקה פתוחה openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher תודה רבה שצפיתם. אנא עשו לייק לסרטון והירשמו לערוץ שלנו. #github #ai #opensource הערה: התוכן נוצר בעזרת בינה מלאכותית ועשוי להכיל אי דיוקים או שגיאות. ▬▬▬▬▬▬ 👋 צרו איתי קשר 👋 ▬▬▬▬▬▬▬ ➡ לינקטרי: link.githubawesome.com ➡ תקנה לי קפה link.githubawesome.com [ja] GitHub週間トレンド #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey こちらはGitHubトレンドウィークリー第55回です。現在GitHubで注目を集めているオープンソースプロジェクト35件をご紹介します。 有料チャンネル登録：youtube.com テキスト版リンク：githubawesome.com 00:00 - はじめに 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher ご視聴いただきありがとうございました。動画への「いいね」とチャンネル登録をお願いします。 #github #ai #opensource 注意：このコンテンツはAIの支援を受けて作成されたため、不正確な情報や誤りが含まれている可能性があります。 ▬▬▬▬▬▬ 👋 ご連絡ください 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Buy Me A Coffee: link.githubawesome.com [ko] GitHub 주간 트렌딩 #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey GitHub 주간 인기 프로젝트 #55입니다. 지금 GitHub에서 가장 인기 있는 오픈소스 프로젝트 35개를 소개합니다. 유료 채널 구독: youtube.com 텍스트 버전 링크: githubwesome.com 00:00 - 소개 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher 시청해 주셔서 감사합니다. 영상에 좋아요를 누르고 채널 구독도 부탁드립니다. #github #ai #opensource 주의: 본 콘텐츠는 AI를 이용하여 제작되었으며, 부정확하거나 오류가 포함될 수 있습니다. ▬▬▬▬▬▬ 👋 연락처 👋 ▬▬▬▬▬▬ ➡ 링크트리: link.githubawesome.com ➡ 커피 한 잔 사주세요: link.githubawesome.com [ml] GitHub ട്രെൻഡിംഗ് വീക്ക്ലി #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, opentermina... ഇതാണ് GitHub ട്രെൻഡിംഗ് വീക്ക്ലി #55. GitHub-ൽ ഇപ്പോൾ ട്രെൻഡിംഗ് ആയ 35 ഓപ്പൺ സോഴ്സ് പ്രോജക്ടുകൾ. പണമടച്ചുള്ള ചാനൽ സബ്സ്ക്രിപ്ഷൻ: youtube.com ടെക്സ്റ്റ് പതിപ്പ് ലിങ്ക്: githubawesome.com 00:00 - ആമുഖം 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - ലായ NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - റോസാർക്ക്-മോഷൻ-സ്കിൽ rossark0/rossark-motion-skill 04:02 - റെയ്ലോ colinhacks/reylo 04:29 - ഓപ്പൺടെർമിനൽ spovalova/openterminal 04:55 - ഹാച്ച്സിപ്പ് xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - മിംഗ്-വോയ്സ് JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - വീഡിയോ-ഷോർട്ട് petergyang/video-short 10:34 - പെൻമെന്റർ AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - ബർസാർ Samsara-1999/Bursar 12:47 - ഓപ്പൺവിഎൽഹാർനെസ് uclanlp/OpenVL%E0%B4%B9%E0%B4%BE%E0%B5%BC%E0%B4%A8%E0%B5%86%E0%B4%B8%E0%B5%8D 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher കണ്ടതിന് വളരെ നന്ദി. ദയവായി വീഡിയോ ലൈക്ക് ചെയ്യുകയും ഞങ്ങളുടെ ചാനൽ സബ്സ്ക്രൈബ് ചെയ്യുകയും ചെയ്യുക. #github #ai #opensource ശ്രദ്ധിക്കുക: ഉള്ളടക്കം AI യുടെ സഹായത്തോടെ സൃഷ്ടിച്ചതാണ്, അതിൽ കൃത്യതയില്ലായ്മകളോ പിശകുകളോ അടങ്ങിയിരിക്കാം. ▬▬▬▬▬▬ 👋 എന്നെ ബന്ധപ്പെടുക 👋 ▬▬▬▬▬▬ ➡ ലിങ്ക്ട്രീ: link.githubawesome.com ➡ എനിക്ക് ഒരു കാപ്പി വാങ്ങിത്തരൂ link.githubawesome.com [nl-NL] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey Dit is GitHub Trending Weekly #55. 35 populaire open-sourceprojecten op GitHub van dit moment. Betaald kanaalabonnement: youtube.com Link naar tekstversie: githubawesome.com 00:00 - Introductie 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher Hartelijk dank voor het kijken. Geef de video een like en abonneer je op ons kanaal. #github #ai #opensource Let op: De inhoud is gemaakt met behulp van AI en kan onnauwkeurigheden of fouten bevatten. ▬▬▬▬▬▬ 👋 Neem contact met me op 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Koop me een koffie: link.githubawesome.com [pa] GitHub ਟ੍ਰੈਂਡਿੰਗ ਵੀਕਲੀ #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey ਇਹ GitHub ਟ੍ਰੈਂਡਿੰਗ ਵੀਕਲੀ #55 ਹੈ। GitHub 'ਤੇ ਇਸ ਵੇਲੇ 35 ਟ੍ਰੈਂਡਿੰਗ ਓਪਨ-ਸੋਰਸ ਪ੍ਰੋਜੈਕਟ। ਭੁਗਤਾਨਸ਼ੁਦਾ ਚੈਨਲ ਗਾਹਕੀ: youtube.com ਟੈਕਸਟ ਵਰਜਨ ਲਿੰਕ: githubawesome.com 00:00 - ਜਾਣ-ਪਛਾਣ 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - ਲਾਯਾ NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - ਰੋਸਾਰਕ-ਮੋਸ਼ਨ-ਸਕਿੱਲ rossark0/rossark-motion-skill 04:02 - ਰੀਲੋ colinhacks/reylo 04:29 - ਓਪਨਟਰਮੀਨਲ spovalova/openterminal 04:55 - ਹੈਚਜ਼ਿਪ xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ਮਿੰਗ-ਵੌਇਸ JMS1717/ming-voice 06:14 - ਓਨਕੀ dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - ਵੀਡੀਓ-ਸ਼ਾਰਟ petergyang/video-short 10:34 - ਪੈਨਮੈਂਟਰ AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - ਬਿਟਕਿੰਡਲ tombkeeper/BitKindle 11:55 - ਓਪਲ xingjian-bai/opal 12:22 - ਬਰਸਰ Samsara-1999/Bursar 12:47 - ਓਪਨਵੀਐਲਹਾਰਨੈਸ uclanlp/OpenVL%E0%A8%B9%E0%A8%BE%E0%A8%B0%E0%A8%A8%E0%A9%88%E0%A8%B8 13:10 - ਵੀਡੀਓ-ਐਡੀਟਰ-ਸਕਿੱਲਸ appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher ਦੇਖਣ ਲਈ ਤੁਹਾਡਾ ਬਹੁਤ ਧੰਨਵਾਦ। ਕਿਰਪਾ ਕਰਕੇ ਵੀਡੀਓ ਨੂੰ ਪਸੰਦ ਕਰੋ ਅਤੇ ਸਾਡੇ ਚੈਨਲ ਨੂੰ ਸਬਸਕ੍ਰਾਈਬ ਕਰੋ। #github #ai #opensource ਨੋਟਿਸ: ਸਮੱਗਰੀ AI ਦੀ ਸਹਾਇਤਾ ਨਾਲ ਬਣਾਈ ਗਈ ਸੀ ਅਤੇ ਇਸ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਗਲਤੀਆਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ▬▬▬▬▬▬ 👋 ਮੇਰੇ ਨਾਲ ਸੰਪਰਕ ਕਰੋ 👋 ▬▬▬▬▬▬ ➡ ਲਿੰਕਟ੍ਰੀ: link.githubawesome.com ➡ ਮੈਨੂੰ ਇੱਕ ਕੌਫੀ ਖਰੀਦੋ link.githubawesome.com [pl] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey Oto GitHub Trending Weekly nr 55. 35 najpopularniejszych projektów open source na GitHubie. Płatna subskrypcja kanału: youtube.com Link do wersji tekstowej: githubwesome.com 00:00 - Wprowadzenie 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - krótki film petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - umiejętności edytora wideo appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher Dziękujemy za obejrzenie. Polub film i zasubskrybuj nasz kanał. #github #ai #opensource Uwaga: Treść została stworzona przy pomocy sztucznej inteligencji i może zawierać nieścisłości lub błędy. ▬▬▬▬▬▬ 👋 Skontaktuj się ze mną 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubwesome.com ➡ Kup mi kawę link.githubwesome.com [pt-BR] GitHub Trending Weekly #55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey Esta é a lista #55 dos projetos de código aberto mais populares do GitHub neste momento. 35 projetos de código aberto em alta no GitHub. Assinatura paga do canal: youtube.com Link para a versão em texto: githubawesome.com 00:00 - Introdução 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 04:29 - openterminal spovalova/openterminal 04:55 - hatchzip xevrion/hatchzip 05:23 - dquickts stencil-hq/dquickts 05:47 - ming-voice JMS1717/ming-voice 06:14 - onkey dsmurrell/onkey 06:41 - Sumi.css vladocar/Sumi.css 07:07 - rl-env-use browser-use/rl-env-use 07:35 - img2interior img2threejs/plugin-interior 08:02 - Rubix-lang tek-sys-hub/Rubix-lang 08:28 - motion2code lovisdotio/motion2code 08:54 - omnara omnara-ai/omnara 09:20 - ELYTerminal ELY-Open-Source/ELYTerminal 09:44 - prompt2rig blendi-remade/prompt2rig 10:08 - video-short petergyang/video-short 10:34 - penmentor AbdullahAlhariri/penmentor 11:02 - rec recursive-oss/rec 11:30 - BitKindle tombkeeper/BitKindle 11:55 - opal xingjian-bai/opal 12:22 - Bursar Samsara-1999/Bursar 12:47 - OpenVLHarness uclanlp/OpenVLHarness 13:10 - video-editor-skills appariciojunior/video-editor-skills 13:36 - open-math-harness openmathmodel/open-math-harness 14:02 - bambu-bar rolottr/bambu-bar 14:25 - Hi3Dv1.0 hi3d-official/Hi3Dv1.0 14:51 - Plume_Launcher aradhyas8/Plume_Launcher Muito obrigado por assistir. Por favor, curta o vídeo e inscreva-se no nosso canal. #github #ai #opensource Aviso: O conteúdo foi criado com o auxílio de IA e pode conter imprecisões ou erros. ▬▬▬▬▬▬ 👋 Entre em contato comigo 👋 ▬▬▬▬▬▬ ➡ LinkTree: link.githubawesome.com ➡ Compre-me um café: link.githubawesome.com [ru] GitHub Trending Weekly №55: owly, ai-job-search, tsrs, dev-null.sh, laya, reylo, openterminal, onkey Это еженедельный обзор трендов GitHub № 55. 35 самых популярных проектов с открытым исходным кодом на GitHub прямо сейчас. Платная подписка на канал: youtube.com Ссылка на текстовую версию: githubawesome.com 00:00 - Введение 00:11 - owly t4t5/owly 00:38 - ai-job-search ai-job-search-dev/ai-job-search 01:03 - tsrs oxc-project/tsrs 01:29 - new-term-radar zhuyansen/new-term-radar 01:52 - security-audit-skill cloudflare/security-audit-skill 02:18 - dev-null.sh dev-null-sh/dev-null.sh 02:43 - laya NandhaKishorM/laya 03:10 - 3d-model-anything wesbos/3d-model-anything 03:33 - rossark-motion-skill rossark0/rossark-motion-skill 04:02 - reylo colinhacks/reylo 0
6 открытых репозиториев для ИИ-агентов 6 открытых репозиториев для ИИ-агентов, которые экономят месяцы работы. Один превращает Claude в учёного. 1. Браузер для агента: browser-use/browser-use 2. Память агента: rohitg00/agentmemory 3. Наука, 177 навыков: K-Dense-AI/scientific-agent-skills 4. Схемы: cathrynlavery/diagram-design 5. База памяти и знаний: volcengine/OpenViking 6. Обвязка агентов: ai-boost/awesome-harness-engineering Открой Claude Code, вставь нужную ссылку и напиши: «Поставь это и покажи на примере». Ставь по одному, а не все сразу. Нужна подписка Claude Pro или Max. В терминал ничего вводить не нужно. Бесплатная игра и материалы из всех роликов: ig.onai.academy #shorts #claude #ииагенты #github
I first used something similar with this: browser-use/agency