chenglou

A neural network for a > 4, written by hand --- title: "A neural network for a > 4, written by hand" published: true description: "Two ReLUs and a weighted sum compute if a > 4 { 10 } else { 12 } for whole numbers 0 to 100, with weights written by hand and all 101 inputs tested." tags: rust, machinelearning, neuralnetworks, beginners series: "Exact circuits from ordinary Rust" cover_image: raw.githubusercontent.com --- Let's start with a small program, where a is a whole number from 0 through 100: let result = if a > 4 { 10 } else { 12 }; We're going to build a neural network that gives the same result for those 101 inputs. Neural networks are usually trained, which means their numbers are learned from examples. We won't train anything. We'll construct the numbers directly from the program. The construction comes from Cheng Lou's handwired, a JavaScript project that turns ordinary code into neural-network operations, and this same comparison is the first example in its README. I ported handwired to Rust as handwired-rs, which this series uses. Why would anyone want this? Not for speed: three arithmetic steps in place of one if is not a better way to write an if, and this post only demonstrates the mechanism. What it gives us is a program that is a fixed list of arithmetic steps, the same for every input, and such a list can be reasoned about and checked on every input we declare. By the end, we'll have done both for all 101. Two building blocks: weighted sums and ReLU The first building block is a weighted sum: multiply the input by a constant and add a constant offset. 5 - a is one, with a multiplied by -1 and an offset of 5. The second is ReLU, short for rectified linear unit: relu(x) = max(0, x). It keeps a positive number and turns a negative one into 0. Why would we need the second one at all? Because weighted sums alone can't make a decision. A weighted sum of a weighted sum is again a weighted sum: c * (d * a + e) + f is (c * d) * a + (c * e + f), a constant times a plus an offset. So any number of them in a row is a single straight line in a, and no straight line is 12 for every a up to 4 and 10 for every a from 5 on. How do we turn a > 4 into 0 or 1? Our first goal is a number, let's call it flag, that is 1 when a > 4 and 0 otherwise. handwired-rs builds it as two ReLUs in a chain: inner = relu(5 - a) flag = relu(1 - inner) Does that really behave like a > 4? Let's try the two numbers right at the threshold. For a = 4, inner = relu(1) = 1, and then flag = relu(0) = 0. For a = 5, inner = relu(0) = 0, and then flag = relu(1) = 1. So far so good. What about the other 99 whole numbers? We don't have to try them one by one. From 0 to 4, a is at most 4, so 5 - a is at least 1, which makes inner at least 1 and 1 - inner 0 or negative, and ReLU turns that into a flag of 0. From 5 to 100, 5 - a is 0 or negative, so inner is 0 and flag = relu(1) = 1. That's an algebraic argument: it covers every whole number in the range without trying any of them. Turning the flag into 10 or 12 Now we have a number where the program had a decision, so the choice can become arithmetic: result = 12 - 2 * flag For flag = 0 this is 12, and for flag = 1 it is 10, the two values of the original if. The flag selects the output by multiplication instead of by a jump. Naming the parts: weights, biases and layers Each of our three steps is a weighted sum, and the first two are followed by a ReLU. In neural-network terms, the multipliers (-1, -1 and -2) are weights, the offsets (5, 1 and 12) are biases, and each step is a layer. So we've built a network of three layers with one step in each, and it runs the same three operations in the same order for every input. handwired calls such a fixed list of operations a circuit, and that's the name you'll see in the code below. In the figure, the chain is on the right, and flag for a from 0 to 10 is on the left: dots for the whole numbers, a dashed line for what happens in between. !Animation that ends on the full figure. Left: flag = relu(1 - relu(5 - a)) for a from 0 to 10. As a steps through the whole numbers, each value passes through relu(5 - a) as inner, relu(1 - inner) as flag and 12 - 2 * flag as result, and a dot lands at 0 for a up to 4 and at 1 from 5. Then a slides from 4 to 5: at 4.5, inner and flag are 0.5 and the result is 11, a blend strictly between 4 and 5. That dashed slope between 4 and 5 should make you a little suspicious. What is it doing there? What happens between whole numbers? Everything we argued so far relied on a being a whole number. So let's break that on purpose and feed in a = 4.5. Before reading on, what do you expect: 10, 12, or something else? Here is the walk through the chain: inner = relu(0.5) = 0.5, flag = relu(0.5) = 0.5, and result = 12 - 1 = 11. Neither branch. Inputs strictly between 4 and 5 produce a blend of 10 and 12, and that's the dashed slope in the figure. So the network's correctness is guaranteed for the declared inputs, the whole numbers from 0 to 100. How do we tell the code what those inputs are? Declaring the inputs in Rust, and testing them Two facts describe our inputs. a lies between 0 and 100, which handwired-rs calls its range. The allowed values are spaced one apart, which it calls its grid. The comparison needs the grid: it works because no allowed input falls strictly between 4 and 5. In the program below, look for assume_range and assume_grid, which declare those two facts, and emit_compare, which writes the two ReLUs for us. TensorExecutor runs the compiled circuit, and the loop counts the inputs where it differs from the if. Before you run it, what should it print? If our algebra is right, zero wrong, and 11 for 4.5. use handwired_rs::{Circuit, Relation, TensorExecutor, emit_compare}; fn main() { let mut circuit = Circuit::new(1); let a = circuit.source(0); circuit.assume_range(a, 0.0, 100.0); // a is between 0 and 100 circuit.assume_grid(a, 1.0); // in steps of 1 let four = circuit.constant(4.0); let flag = emit_compare(&mut circuit, a, Relation::Greater, four); let result = circuit.affine(flag * -2.0 + 12.0); let program = circuit.compile(Some(&[result])); let mut executor = TensorExecutor::new(&program); let mut wrong = 0; for a in 0..=100 { let expected = if a > 4 { 10.0 } else { 12.0 }; if executor.run(&[a as f32])[0] != expected { wrong += 1; } } println!("{} operations, {wrong} of 101 inputs wrong", program.live_operation_count()); println!("a = 4.5 gives {}", executor.run(&[4.5])[0]); } I ran it in a new binary crate after cargo add handwired-rs@0.8.0, with Rust 1.97 on x86-64 Linux, and it prints: 3 operations, 0 of 101 inputs wrong a = 4.5 gives 11 Both expectations hold. The three operations are our three steps: for a "greater than" comparison on a grid of 1, emit_compare builds relu(1 - relu(5 - a)), which I checked in its source at v0.8.0. "0 of 101 wrong" is a test result, and it checks this implementation on exactly the declared inputs. The last line shows that the executor doesn't refuse 4.5. It computes the blend, just as we did by hand. There is one thing we quietly assumed all along, though. Our algebra used exact arithmetic. Does the computer's arithmetic agree? Why does the floating-point arithmetic agree? The program runs on f32, 32-bit floating-point numbers, which round some results. So why wasn't anything rounded here? Two facts. Floating-point addition and multiplication round only when the exact answer can't be stored. And an f32 can store every whole number up to a limit far above 100. Every value here, from the input through each intermediate product and sum (such as the -1 * a inside 5 - a) to the result, is a whole number between -100 and 100. So every exact answer can be stored, and nothing is rounded. That's the numerical argument, and the test agrees with it. Let's take stock. A one-line if became a circuit of three numerical operations, with weights written down from the program, an argument that covers every declared input, and a test that ran all of them. I ported handwired to Rust because I wanted to write the logic as ordinary Rust functions and have a compiler turn them into circuits like this one, so the original function could stay around as the test. Later posts get to that compiler. Aside: handwired's README writes the flag as relu(a - 4) - relu(a - 5), two ramps subtracted, which gives the same 0 or 1 on whole numbers. We used the chained form because handwired-rs builds it. Our numbers here never went past 100. What happens when they grow? In the next post we'll find out where that limit on whole numbers is, and what happens to the arithmetic beyond it. Code: mighty840/handwired-rs

@undacappn it autocompleted, i mean this: chenglou/handwired

자바스크립트 코딩 연산을 신경망으로 Handwired는 지원하는 자바스크립트 연산을 신경망 구조로 표현하는 실험 프로젝트입니다. 브라우저 데모와 공개 코드에서 연산 범위와 결과 비교를 확인할 수 있습니다. 도구·자료 주소 chenglou.me chenglou/handwired #코딩 #자바스크립트 #AI활용 #투더제이 [en-US] Translating JavaScript Operations into Neural Networks Handwired is an experimental project that represents supported JavaScript operations using a neural network structure. You can check the scope of operations and compare results in the browser demo and the public code. Tools & Resources Addresses chenglou.me chenglou/handwired #Coding #JavaScript #AIApplication #ToTheJ

Show HN: Calm Web – Print magazine style reader Wanted to have a better reading experience. Curated feeds to avoid bumping into paywalls. Used: chenglou/pretext and: lyallcooper/justif for layout and justification with 2-column pages. Simplified navigation with shortcuts (in Settings) to move through things more quickly. Mainly focused on desktop experience.

As far as I understand, this doesn't turn "regular" JavaScript into a NN, it's rather "write your logic in a DSL that creates a neural-net-shaped circuit" the source code for the OS demo is not "regular" code, it's full of `emiRelu`... github.com/chenglou/handwired/blob/main/src/handw… The main site & readme seem to overclaim, while the docs say things like "With Handwired you write a numeric program" and "No tool converts existing JavaScript source into a program" - github.com/chenglou/handwired/tree/main/docs happy to be proven wrong, to have misunderstood this, etc.

This Neural Network Was Never Trained. It Was Written as Code. Handwired is a free, open-source project by developer Cheng Lou, posted on GitHub on October 15, 2026. It turns ordinary JavaScript code into a neural net with no training: every if/else decision is rewritten as plain arithmetic (addition, multiplication and ReLU, the rule that turns negative numbers into zero), so the whole program becomes one big matrix of hand-written weights. The project says the result is exact and still fully differentiable, which means you can unfreeze the weights and train them, starting from a program that already works. The project says its JSON search demo, turned into WebGPU kernels, runs in milliseconds over 100,000 documents. The project's demo page lists its Mini OS demo at 9,909 weights, 130 layers and 0 training. These are the project's own figures; no independent tests are reported yet. It is an experiment, not a finished product. Sources (read 2026-10-19): Handwired on GitHub (README): chenglou/handwired Handwired demo site: chenglou.me Nothing was installed or run for this video. Not connected to Handwired or Cheng Lou.

Top Open-Source GitHub Projects : VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio : youtube.com "This video covers the top trending open-source GitHub projects this week, picked for practical developer productivity. You’ll see local-first tools that run on your own machine, projects built for performance, and several that improve AI agent and coding workflows. We look at VoiceStudio as a fully local alternative to ElevenLabs, tamagui for building React UIs once for native and web, and FSearch for near-instant whole-disk search on macOS. There’s a good mix here for anyone building apps, searching code, or working with coding agents. Simple, useful tools you can try today." 👍 Like, share, and subscribe for more updates on AI advancements. Drop your thoughts and questions in the comments below! 📌 Get FREE AI Project Updates : manuagi.beehiiv.com 📌 Important AI Tools (affiliate) 🔗 AI Voice - try.elevenlabs.io 🔗Try Dzine AI FREE : dzine.ai 📌 Timestamps : 00:00 - Intro Part 00:57 - caveman : JuliusBrussee/caveman 01:34 - VoiceStudio : debpalash/VoiceStudio 02:16 - Context Mode : mksglu/context-mode 02:54 - tokenspeed : lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - Octop : TencentCloud/Octop 04:47 - agent-skills : addyosmani/agent-skills 05:28 - Handwired : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - scout : outcrawlai/scout 09:03 - gloss : Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 Subscribe for more AI tutorials, tips, and industry insights. Don't forget to like, comment, and share with your tech-savvy friends! Tags: Top Open-Source GitHub Projects, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL & Remory, open source, open source github projects, trending github projects, github projects, developer tools, developer productivity, local tools, local first, cli tools, ai agents, ai coding agents, ai tools, agent skills, agent orchestration, workflow automation, ai workflow, mcp, kubernetes, design tools, project management, search engine, macos, go, csharp, game development Hashtags: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [ar] أفضل مشاريع GitHub مفتوحة المصدر: VoiceStudio وtamagui وFSearch وsgrep وIndra وsnapcn #302 👈 استوديو وكلاء الذكاء الاصطناعي: youtube.com "يتناول هذا الفيديو أبرز مشاريع GitHub مفتوحة المصدر الرائجة هذا الأسبوع، والتي تم اختيارها لتعزيز إنتاجية المطورين بشكل عملي. ستشاهدون أدوات تعمل على أجهزتكم، ومشاريع مصممة لتحقيق أعلى أداء، بالإضافة إلى العديد من الأدوات التي تُحسّن سير عمل وكلاء الذكاء الاصطناعي والبرمجة. نستعرض VoiceStudio كبديل محلي بالكامل لـ ElevenLabs، وtamagui لإنشاء واجهات مستخدم React مرة واحدة للتطبيقات الأصلية والويب، وFSearch للبحث الفوري تقريبًا في القرص الصلب على macOS. يُقدّم هذا الفيديو مزيجًا رائعًا لكل من يقوم بتطوير التطبيقات، أو البحث في الشفرات البرمجية، أو العمل مع وكلاء البرمجة. أدوات بسيطة ومفيدة يُمكنكم تجربتها اليوم." 👍 لا تنسوا الإعجاب والمشاركة والاشتراك لمتابعة آخر التحديثات حول تطورات الذكاء الاصطناعي. شاركونا آراءكم واستفساراتكم في التعليقات أدناه! 📌 احصل على تحديثات مجانية لمشاريع الذكاء الاصطناعي: manuagi.beehiiv.com 📌 أدوات ذكاء اصطناعي مهمة (روابط تسويقية) 🔗 AI Voice - try.elevenlabs.io 🔗 جرّب Dzine AI مجانًا: dzine.ai 📌 الفواصل الزمنية: 00:00 - مقدمة 00:57 - Caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - Context Mode: mksglu/context-mode 02:54 - Tokenspeed: lightseekorg/tokenspeed 03:33 - billion-context: ranxianglei/billion-context 04:11 - Octop: TencentCloud/Octop 04:47 - agent-skills: addyosmani/agent-skills 05:28 - Handwired: chenglou/handwired 06:05 - tamagui: tamagui/tamagui 06:37 - snapcn: shadcn-labs/snapcn 07:16 - nono: nolabs-ai/nono 07:53 - FSearch: noahdunnagan/fsearch 08:31 - scout: outcrawlai/scout 09:03 - gloss: Nutlope/gloss 09:36 - Claudemy: assafkip/claudemy 10:08 - sgrep: context-dot-dev/sgrep 10:45 - indra: datalab-to/indra 11:25 - graphicle: Graphicle-AI/graphicle 11:58 - house-control: 0xProbabillity/house-control 12:29 - yobiru: chekusu/yobiru 📈 اشترك للحصول على المزيد من دروس الذكاء الاصطناعي، والنصائح، ورؤى الصناعة. لا تنسَ الإعجاب والتعليق والمشاركة مع أصدقائك المهتمين بالتكنولوجيا! الوسوم: أفضل مشاريع GitHub مفتوحة المصدر، OpenPencil، Orchard، XERJ، librecalculator، BRUTAL وRemory، مفتوح المصدر، مشاريع GitHub مفتوحة المصدر، مشاريع GitHub الرائجة، مشاريع GitHub، أدوات المطورين، إنتاجية المطورين، أدوات محلية، التركيز على الحلول المحلية، أدوات سطر الأوامر، وكلاء الذكاء الاصطناعي، وكلاء برمجة الذكاء الاصطناعي، أدوات الذكاء الاصطناعي، مهارات الوكلاء، تنسيق الوكلاء، أتمتة سير العمل، سير عمل الذكاء الاصطناعي، MCP، Kubernetes، أدوات التصميم، إدارة المشاريع، محرك البحث، macOS، Go، C#، تطوير الألعاب الهاشتاغات: #مفتوح_المصدر #مشاريع_GitHub #المطور #البرمجة #أدوات_المطورين #وكلاء_الذكاء_الاصطناعي #برمجة_الذكاء_الاصطناعي #مهارات_الوكلاء #MCP #التركيز_على_الحلول_المحلية #البحث_الداني #Rust #TypeScript #React #macOS [bn] সেরা ওপেন-সোর্স গিটহাব প্রজেক্টসমূহ: VoiceStudio, tamagui, FSearch, sgrep, Indra ও snapcn #৩০২ 👉 এআই এজেন্টস স্টুডিও : youtube.com "এই ভিডিওতে এই সপ্তাহের সবচেয়ে জনপ্রিয় ওপেন-সোর্স গিটহাব প্রজেক্টগুলো তুলে ধরা হয়েছে, যেগুলো ডেভেলপারদের কাজের সুবিধার কথা মাথায় রেখে বাছাই করা হয়েছে। এখানে আপনি এমন কিছু লোকাল-ফার্স্ট টুল দেখতে পাবেন যা আপনার নিজের মেশিনেই চলে, পারফরম্যান্সের জন্য তৈরি প্রজেক্ট এবং এমন কিছু প্রজেক্ট যা এআই এজেন্ট ও কোডিং ওয়ার্কফ্লো উন্নত করে। আমরা ElevenLabs-এর একটি সম্পূর্ণ লোকাল বিকল্প হিসেবে VoiceStudio, নেটিভ ও ওয়েবের জন্য একবার React UI তৈরির জন্য tamagui এবং macOS-এ প্রায় সঙ্গে সঙ্গে পুরো ডিস্ক জুড়ে সার্চ করার জন্য FSearch নিয়ে আলোচনা করেছি। যারা অ্যাপ তৈরি করেন, কোড খোঁজেন বা কোডিং এজেন্ট নিয়ে কাজ করেন, তাদের সবার জন্যই এখানে একটি চমৎকার মিশ্রণ রয়েছে। সহজ, দরকারি টুল যা আপনি আজই ব্যবহার করে দেখতে পারেন।" 👍 এআই-এর অগ্রগতি সম্পর্কে আরও আপডেটের জন্য লাইক, শেয়ার এবং সাবস্ক্রাইব করুন। নিচে কমেন্টে আপনার মতামত ও প্রশ্ন জানান! 📌 বিনামূল্যে এআই প্রজেক্টের আপডেট পান : manuagi.beehiiv.com 📌 গুরুত্বপূর্ণ এআই টুলস (অ্যাফিলিয়েট) 🔗 এআই ভয়েস - try.elevenlabs.io 🔗 বিনামূল্যে ডিজাইন এআই ব্যবহার করে দেখুন : dzine.ai 📌 টাইমস্ট্যাম্প : ০০:০০ - ভূমিকা পর্ব ০০:৫৭ - কেভম্যান : JuliusBrussee/caveman ০১:৩৪ - ভয়েসস্টুডিও : debpalash/VoiceStudio ০২:১৬ - কনটেক্সট মোড : mksglu/context-mode ০২:৫৪ - টোকেনস্পিড : lightseekorg/tokenspeed ০৩:৩৩ - বিলিয়ন-কনটেক্সট : ranxianglei/billion-context 04:11 - অক্টপ: TencentCloud/Octop 04:47 - এজেন্ট-স্কিল : addyosmani/agent-skills 05:28 - হস্তচালিত: chenglou/handwired 06:05 - টামাগুই : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - স্কাউট: outcrawlai/scout 09:03 - গ্লস: Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy ১০:০৮ - sgrep : context-dot-dev/sgrep ১০:৪৫ - indra : datalab-to/indra ১১:২৫ - graphicle : Graphicle-AI/graphicle ১১:৫৮ - house-control : 0xProbabillity/house-control ১২:২৯ - yobiru : chekusu/yobiru 📈 আরও AI টিউটোরিয়াল, টিপস এবং ইন্ডাস্ট্রির অন্তর্দৃষ্টির জন্য সাবস্ক্রাইব করুন। আপনার প্রযুক্তিপ্রেমী বন্ধুদের সাথে লাইক, কমেন্ট এবং শেয়ার করতে ভুলবেন না! ট্যাগ: সেরা ওপেন-সোর্স গিটহাব প্রজেক্ট, ওপেনপেন্সিল, অর্চার্ড, এক্সারজে, লিব্রেক্যালকুলেটর, ব্রুটাল ​​ও রেমোরি, ওপেন সোর্স, ওপেন সোর্স গিটহাব প্রজেক্ট, ট্রেন্ডিং গিটহাব প্রজেক্ট, গিটহাব প্রজেক্ট, ডেভেলপার টুলস, ডেভেলপার প্রোডাক্টিভিটি, লোকাল টুলস, লোকাল ফার্স্ট, সিএলআই টুলস, এআই এজেন্ট, এআই কোডিং এজেন্ট, এআই টুলস, এজেন্ট স্কিলস, এজেন্ট অর্কেস্ট্রেশন, ওয়ার্কফ্লো অটোমেশন, এআই ওয়ার্কফ্লো, এমসিপি, কুবারনেটিস, ডিজাইন টুলস, প্রজেক্ট ম্যানেজমেন্ট, সার্চ ইঞ্জিন, ম্যাকওএস, গো, সি-শার্প, গেম ডেভেলপমেন্ট হ্যাশট্যাগ: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [de-DE] Die besten Open-Source-GitHub-Projekte: VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio: youtube.com „Dieses Video stellt die angesagtesten Open-Source-Projekte auf GitHub dieser Woche vor, ausgewählt aufgrund ihrer praktischen Vorteile für die Entwicklerproduktivität. Sie sehen Tools, die lokal auf Ihrem eigenen Rechner laufen, Projekte, die auf Performance optimiert sind, und einige, die die Arbeit mit KI-Agenten und die Entwicklung von Programmier-Workflows verbessern. Wir betrachten VoiceStudio als vollständig lokale Alternative zu ElevenLabs, tamagui zum einmaligen Erstellen von React-UIs für native und Webanwendungen sowie FSearch für die nahezu sofortige Festplattensuche unter macOS. Hier ist für jeden etwas dabei, der Apps entwickelt, Code durchsucht oder mit Programmier-Agenten arbeitet. Einfache, nützliche Tools, die Sie noch heute ausprobieren können.“ 👍 Liken, teilen und abonnieren Sie den Kanal, um über weitere KI-Entwicklungen informiert zu bleiben. Hinterlassen Sie Ihre Gedanken und Fragen in den Kommentaren! 📌 Kostenlose Updates zu KI-Projekten erhalten: manuagi.beehiiv.com 📌 Wichtige KI-Tools (Affiliate-Links) 🔗 AI Voice – try.elevenlabs.io 🔗 Dzine AI kostenlos testen: dzine.ai 📌 Zeitstempel: 00:00 – Intro 00:57 – caveman: JuliusBrussee/caveman 01:34 – VoiceStudio: debpalash/VoiceStudio 02:16 – Context Mode: mksglu/context-mode 02:54 – tokenspeed: lightseekorg/tokenspeed 03:33 – billion-context : ranxianglei/billion-context 04:11 - Octop : TencentCloud/Octop 04:47 - agent-skills : addyosmani/agent-skills 05:28 - Handwired : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - scout : outcrawlai/scout 09:03 - gloss: Nutlope/gloss 09:36 – Claudemy: assafkip/claudemy 10:08 – sgrep: context-dot-dev/sgrep 10:45 – indra: datalab-to/indra 11:25 – graphicle: Graphicle-AI/graphicle 11:58 – house-control: 0xProbabillity/house-control 12:29 – yobiru: chekusu/yobiru 📈 Abonniere unseren Kanal für weitere KI-Tutorials, Tipps und Einblicke in die Branche. Vergiss nicht, zu liken, zu kommentieren und mit deinen technikbegeisterten Freunden zu teilen! Tags: Top Open-Source GitHub-Projekte, OpenPencil, Orchard, XERJ, LibreCalculator, BRUTAL & Remory, Open Source, Open-Source-GitHub-Projekte, Trend-GitHub-Projekte, GitHub-Projekte, Entwicklertools, Entwicklerproduktivität, lokale Tools, Local First, CLI-Tools, KI-Agenten, KI-Codierungsagenten, KI-Tools, Agentenfähigkeiten, Agentenorchestrierung, Workflow-Automatisierung, KI-Workflow, MCP, Kubernetes, Design-Tools, Projektmanagement, Suchmaschine, macOS, Go, C#, Spieleentwicklung Hashtags: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [es-US] Los mejores proyectos de código abierto en GitHub: VoiceStudio, tamagui, FSearch, sgrep, Indra y ... 👉 AI Agents Studio: youtube.com "Este video presenta los proyectos de código abierto más populares de GitHub esta semana, seleccionados por su productividad práctica para desarrolladores. Verás herramientas que se ejecutan localmente en tu propia máquina, proyectos diseñados para el rendimiento y varios que mejoran los flujos de trabajo de agentes de IA y programación. Analizamos VoiceStudio como una alternativa completamente local a ElevenLabs, tamagui para crear interfaces de usuario de React una sola vez para aplicaciones nativas y web, y FSearch para búsquedas casi instantáneas en todo el disco en macOS. Aquí encontrarás una buena selección para cualquiera que desarrolle aplicaciones, busque código o trabaje con agentes de programación. Herramientas sencillas y útiles que puedes probar hoy mismo." 👍 Dale me gusta, comparte y suscríbete para recibir más actualizaciones sobre los avances en IA. ¡Deja tus comentarios y preguntas abajo! 📌 Recibe actualizaciones gratuitas del proyecto de IA: manuagi.beehiiv.com 📌 Herramientas importantes de IA (enlace de afiliado) 🔗 Voz con IA: try.elevenlabs.io 🔗 Prueba Dzine AI GRATIS: dzine.ai 📌 Marcas de tiempo: 00:00 - Introducción 00:57 - Caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - Modo Contexto: mksglu/context-mode 02:54 - TokenSpeed: lightseekorg/tokenspeed 03:33 - billion-context: ranxianglei/billion-context 04:11 - Octop: TencentCloud/Octop 04:47 - agent-skills: addyosmani/agent-skills 05:28 - Handwired: chenglou/handwired 06:05 - tamagui: tamagui/tamagui 06:37 - snapcn: shadcn-labs/snapcn 07:16 - nono: nolabs-ai/nono 07:53 - FSearch: noahdunnagan/fsearch 08:31 - scout: outcrawlai/scout 09:03 - gloss: Nutlope/gloss 09:36 - Claudemy: assafkip/claudemy 10:08 - sgrep: context-dot-dev/sgrep 10:45 - indra: datalab-to/indra 11:25 - graphicle: Graphicle-AI/graphicle 11:58 - house-control: 0xProbabillity/house-control 12:29 - yobiru: chekusu/yobiru 📈 Suscríbete para más tutoriales, consejos e información del sector sobre IA. ¡No olvides darle a "Me gusta", comentar y compartir con tus amigos expertos en tecnología! Etiquetas: Principales proyectos de código abierto en GitHub, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL y Remory, código abierto, proyectos de código abierto en GitHub, proyectos de GitHub en tendencia, proyectos de GitHub, herramientas para desarrolladores, productividad para desarrolladores, herramientas locales, prioridad local, herramientas de línea de comandos, agentes de IA, agentes de codificación de IA, herramientas de IA, habilidades de agentes, orquestación de agentes, automatización de flujos de trabajo, flujo de trabajo de IA, MCP, Kubernetes, herramientas de diseño, gestión de proyectos, motor de búsqueda, macOS, Go, C#, desarrollo de videojuegos Hashtags: #códigoabierto #proyectosdegithub #desarrollador #programación #herramientasdedesarrollo #agentesdeIA #codificacióndeIA #habilidadesdeagentes #MCP #prioridadlocal #búsquedasemántica #Rust #TypeScript #React #macOS [fr-FR] Meilleurs projets open-source GitHub : VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio : youtube.com Cette vidéo présente les projets open source GitHub les plus populaires de la semaine, sélectionnés pour leur impact concret sur la productivité des développeurs. Vous y découvrirez des outils fonctionnant en local sur votre machine, des projets optimisés pour la performance et plusieurs solutions améliorant les flux de travail liés aux agents IA et au codage. Nous aborderons notamment VoiceStudio, une alternative entièrement locale à ElevenLabs, tamagui pour créer des interfaces React compatibles avec le natif et le web, et FSearch pour une recherche quasi instantanée sur l'ensemble du disque sous macOS. Ce catalogue offre un large éventail d'outils pour tous ceux qui développent des applications, recherchent du code ou travaillent avec des agents de codage. Des outils simples et pratiques à tester dès aujourd'hui. 👍 Aimez, partagez et abonnez-vous pour suivre l'actualité de l'IA. N'hésitez pas à poser vos questions et à laisser vos commentaires ci-dessous ! 📌 Recevez gratuitement les dernières actualités sur les projets d'IA : manuagi.beehiiv.com 📌 Outils d'IA importants (liens affiliés) 🔗 AI Voice : try.elevenlabs.io 🔗 Essayez Dzine AI gratuitement : dzine.ai 📌 Horodatage : 00:00 - Introduction 00:57 - caveman : JuliusBrussee/caveman 01:34 - VoiceStudio : debpalash/VoiceStudio 02:16 - Context Mode : mksglu/context-mode 02:54 - tokenspeed : lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - Octop : TencentCloud/Octop 04:47 - compétences d'agent : addyosmani/agent-skills 05:28 - Câblé à la main : chenglou/handwired 06h05 - tamagui : tamagui/tamagui 06h37 - snapcn : shadcn-labs/snapcn 07h16 - nono : nolabs-ai/nono 07:53 - FRecherche : noahdunnagan/fsearch 08h31 - éclaireur : outcrawlai/scout 09:03 - glose : Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 Abonnez-vous pour plus de tutoriels, astuces et analyses du secteur de l'IA. N'oubliez pas de liker, commenter et partager avec vos amis férus de technologie ! Mots-clés : Meilleurs projets open source sur GitHub, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL & Remory, open source, projets open source sur GitHub, projets GitHub populaires, projets GitHub, outils de développement, productivité des développeurs, outils locaux, approche locale, outils CLI, agents IA, agents de codage IA, outils IA, compétences des agents, orchestration des agents, automatisation des flux de travail, flux de travail IA, MCP, Kubernetes, outils de conception, gestion de projet, moteur de recherche, macOS, Go, C#, développement de jeux Hashtags : #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [hi] इस हफ्ते के टॉप ओपन-सोर्स GitHub प्रोजेक्ट्स: VoiceStudio, tamagui, FSearch, sgrep, Indra और snap... 👉 AI एजेंट स्टूडियो: youtube.com "यह वीडियो इस सप्ताह के शीर्ष ट्रेंडिंग ओपन-सोर्स GitHub प्रोजेक्ट्स को कवर करता है, जिन्हें डेवलपर उत्पादकता बढ़ाने के लिए चुना गया है। आप ऐसे लोकल-फर्स्ट टूल्स देखेंगे जो आपकी अपनी मशीन पर चलते हैं, परफॉर्मेंस के लिए बनाए गए प्रोजेक्ट्स और कई ऐसे प्रोजेक्ट्स जो AI एजेंट और कोडिंग वर्कफ़्लो को बेहतर बनाते हैं। हम ElevenLabs के पूरी तरह से लोकल विकल्प के रूप में VoiceStudio, नेटिव और वेब के लिए एक बार में React UI बनाने के लिए tamagui और macOS पर लगभग तुरंत पूरे डिस्क में सर्च करने के लिए FSearch पर नज़र डालते हैं। ऐप्स बनाने वाले, कोड सर्च करने वाले या कोडिंग एजेंट के साथ काम करने वाले किसी भी व्यक्ति के लिए यहाँ एक अच्छा मिश्रण है। सरल, उपयोगी टूल्स जिन्हें आप आज ही आज़मा सकते हैं।" 👍 AI की प्रगति पर अधिक अपडेट के लिए लाइक, शेयर और सब्सक्राइब करें। अपने विचार और प्रश्न नीचे कमेंट में लिखें! 📌 मुफ़्त AI प्रोजेक्ट अपडेट प्राप्त करें: manuagi.beehiiv.com 📌 महत्वपूर्ण AI उपकरण (संबद्ध लिंक) 🔗 AI वॉइस - try.elevenlabs.io 🔗 Dzine AI को मुफ़्त में आज़माएँ: dzine.ai 📌 टाइमस्टैम्प: 00:00 - परिचय भाग 00:57 - केवमैन: JuliusBrussee/caveman 01:34 - वॉइस स्टूडियो: debpalash/VoiceStudio 02:16 - कॉन्टेक्स्ट मोड: mksglu/context-mode 02:54 - टोकनस्पीड: lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - Octop : TencentCloud/Octop 04:47 - agent-skills : addyosmani/agent-skills 05:28 - Handwired : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - स्काउट : outcrawlai/scout 09:03 - ग्लॉस : Nutlope/gloss 09:36 - क्लाउडेमी : assafkip/claudemy 10:08 - एसग्रेप : context-dot-dev/sgrep 10:45 - इंद्र : datalab-to/indra 11:25 - ग्राफिकल : Graphicle-AI/graphicle 11:58 - हाउस-कंट्रोल : 0xProbabillity/house-control 12:29 - योबिरू : chekusu/yobiru 📈 एआई ट्यूटोरियल, टिप्स और उद्योग से जुड़ी जानकारियों के लिए सब्सक्राइब करें। लाइक, कमेंट और अपने तकनीकी रूप से जानकार दोस्तों के साथ शेयर करना न भूलें! टैग: शीर्ष ओपन-सोर्स GitHub प्रोजेक्ट्स, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL और Remory, ओपन सोर्स, ओपन सोर्स GitHub प्रोजेक्ट्स, ट्रेंडिंग GitHub प्रोजेक्ट्स, GitHub प्रोजेक्ट्स, डेवलपर टूल्स, डेवलपर उत्पादकता, लोकल टूल्स, लोकल फर्स्ट, CLI टूल्स, AI एजेंट्स, AI कोडिंग एजेंट्स, AI टूल्स, एजेंट स्किल्स, एजेंट ऑर्केस्ट्रेशन, वर्कफ़्लो ऑटोमेशन, AI वर्कफ़्लो, MCP, Kubernetes, डिज़ाइन टूल्स, प्रोजेक्ट मैनेजमेंट, सर्च इंजन, macOS, Go, C-Sharp, गेम डेवलपमेंट हैशटैग: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [id] Proyek Open-Source GitHub Teratas : VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio : youtube.com "Video ini membahas proyek-proyek open-source GitHub terpopuler minggu ini, yang dipilih untuk produktivitas pengembang yang praktis. Anda akan melihat alat-alat yang mengutamakan lokal yang berjalan di mesin Anda sendiri, proyek-proyek yang dibangun untuk kinerja, dan beberapa yang meningkatkan alur kerja agen AI dan pengkodean. Kami melihat VoiceStudio sebagai alternatif lokal sepenuhnya untuk ElevenLabs, tamagui untuk membangun UI React sekali untuk aplikasi native dan web, dan FSearch untuk pencarian seluruh disk yang hampir instan di macOS. Ada campuran yang bagus di sini untuk siapa pun yang membangun aplikasi, mencari kode, atau bekerja dengan agen pengkodean. Alat-alat sederhana dan bermanfaat yang dapat Anda coba hari ini." 👍 Sukai, bagikan, dan berlangganan untuk pembaruan lebih lanjut tentang kemajuan AI. Sampaikan pendapat dan pertanyaan Anda di kolom komentar di bawah! 📌 Dapatkan Pembaruan Proyek AI GRATIS: manuagi.beehiiv.com 📌 Alat AI Penting (afiliasi) 🔗 AI Voice - try.elevenlabs.io 🔗Coba Dzine AI GRATIS: dzine.ai 📌 Cap Waktu: 00:00 - Bagian Pendahuluan 00:57 - caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - Context Mode: mksglu/context-mode 02:54 - tokenspeed: lightseekorg/tokenspeed 03:33 - billion-context: ranxianglei/billion-context 04:11 - Gurita : TencentCloud/Octop 04:47 - keterampilan agen : addyosmani/agent-skills 05:28 - Kabel tangan : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - tidak : nolabs-ai/nono 07:53 - Pencarian F : noahdunnagan/fsearch 08:31 - pramuka : outcrawlai/scout 09:03 - kilap : Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 Berlangganan untuk tutorial AI, tips, dan wawasan industri lainnya. Jangan lupa untuk menyukai, berkomentar, dan berbagi dengan teman-teman Anda yang paham teknologi! Tag: Proyek Open-Source GitHub Teratas, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL & Remory, open source, proyek open source github, proyek github yang sedang tren, proyek github, alat pengembang, produktivitas pengembang, alat lokal, local first, alat cli, agen ai, agen pengkodean ai, alat ai, keterampilan agen, orkestrasi agen, otomatisasi alur kerja, alur kerja ai, mcp, kubernetes, alat desain, manajemen proyek, mesin pencari, macos, go, csharp, pengembangan game Tagar: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [it] I migliori progetti open source su GitHub: VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio: youtube.com "Questo video presenta i progetti open source più popolari su GitHub questa settimana, selezionati per la loro praticità e produttività nello sviluppo. Vedrete strumenti "local-first" che funzionano sul vostro computer, progetti ottimizzati per le prestazioni e diversi strumenti che migliorano i flussi di lavoro degli agenti AI e della programmazione. Analizziamo VoiceStudio come alternativa completamente locale a ElevenLabs, tamagui per la creazione di interfacce utente React una sola volta per applicazioni native e web, e FSearch per la ricerca quasi istantanea su disco su macOS. C'è un buon mix per chiunque sviluppi app, cerchi codice o lavori con agenti di programmazione. Strumenti semplici e utili che potete provare subito." 👍 Metti mi piace, condividi e iscriviti per ulteriori aggiornamenti sui progressi dell'IA. Lascia i tuoi commenti e le tue domande qui sotto! 📌 Ricevi aggiornamenti GRATUITI sui progetti di IA: manuagi.beehiiv.com 📌 Strumenti IA importanti (link affiliato) 🔗 Voce IA - try.elevenlabs.io 🔗 Prova Dzine AI GRATIS: dzine.ai 📌 Indice dei contenuti: 00:00 - Introduzione 00:57 - Caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - Modalità contesto: mksglu/context-mode 02:54 - TokenSpeed: lightseekorg/tokenspeed 03:33 - billion-context: ranxianglei/billion-context 04:11 - Octop: TencentCloud/Octop 04:47 - agent-skills: addyosmani/agent-skills 05:28 - Handwired: chenglou/handwired 06:05 - tamagui: tamagui/tamagui 06:37 - snapcn: shadcn-labs/snapcn 07:16 - nono: nolabs-ai/nono 07:53 - FSearch: noahdunnagan/fsearch 08:31 - scout: Italiano: outcrawlai/scout 09:03 - gloss: Nutlope/gloss 09:36 - Claudemy: assafkip/claudemy 10:08 - sgrep: context-dot-dev/sgrep 10:45 - indra: datalab-to/indra 11:25 - graphicle: Graphicle-AI/graphicle 11:58 - house-control: 0xProbability/house-control 12:29 - yobiru: chekusu/yobiru 📈 Iscriviti per altri tutorial sull'IA, suggerimenti e approfondimenti sul settore. Non dimenticate di mettere "Mi piace", commentare e condividere con i vostri amici esperti di tecnologia! Tag: I migliori progetti open source su GitHub, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL e Remory, open source, progetti open source su GitHub, progetti di tendenza su GitHub, progetti GitHub, strumenti per sviluppatori, produttività degli sviluppatori, strumenti locali, local first, strumenti CLI, agenti AI, agenti di codifica AI, strumenti AI, competenze degli agenti, orchestrazione degli agenti, automazione del flusso di lavoro, flusso di lavoro AI, mcp, kubernetes, strumenti di progettazione, gestione dei progetti, motore di ricerca, macOS, Go, C#, sviluppo di videogiochi Hashtag: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [iw] פרויקטי ה-Open-Source המובילים ב-GitHub: VoiceStudio, tamagui, FSearch, sgrep, Indra ו-snapcn #302 👉 AI Agents Studio : youtube.com "סרטון זה מכסה את פרויקטי הקוד הפתוח המובילים ב-GitHub השבוע, שנבחרו בשל פרודוקטיביות מעשית למפתחים. תראו כלים מקומיים שפועלים על המחשב שלכם, פרויקטים שנבנו לביצועים, וכמה שמשפרים את זרימות העבודה של סוכני בינה מלאכותית וקידוד. אנו מתייחסים ל-VoiceStudio כאלטרנטיבה מקומית לחלוטין ל-ElevenLabs, ל-tamagui לבניית ממשקי משתמש של React פעם אחת עבור יישומים מקוריים ואינטרנט, ול-FSearch לחיפוש כמעט מיידי בדיסק שלם ב-macOS. יש כאן שילוב טוב לכל מי שבונה אפליקציות, מחפש קוד או עובד עם סוכני קידוד. כלים פשוטים ושימושיים שתוכלו לנסות היום." 👍 עשו לייק, שתפו והירשמו לעדכונים נוספים על התקדמות בתחום הבינה המלאכותית. שתפו את מחשבותיכם ושאלותיכם בתגובות למטה! 📌 קבלו עדכונים בחינם על פרויקטים של בינה מלאכותית: manuagi.beehiiv.com 📌 כלי בינה מלאכותית חשובים (שותפים) 🔗 AI Voice - try.elevenlabs.io 🔗 נסו את Dzine AI בחינם: dzine.ai 📌 חותמות זמן: 00:00 - חלק פתיחה 00:57 - caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - מצב הקשר: mksglu/context-mode 02:54 - tokenspeed: lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - Octop : TencentCloud/Octop 04:47 - agent-skills : addyosmani/agent-skills 05:28 - Handwired : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - scout : outcrawlai/scout 09:03 - gloss : Nutlope/gloss 09:36 - קלודמי: assafkip/claudemy 10:08 - sgrep: context-dot-dev/sgrep 10:45 - אינדרה: datalab-to/indra 11:25 - graphicle: Graphicle-AI/graphicle 11:58 - house-control: 0xProbabillity/house-control 12:29 - יובירו: chekusu/yobiru 📈 הירשמו לקבלת מדריכים, טיפים ותובנות נוספות על בינה מלאכותית. אל תשכחו לעשות לייק, להגיב ולשתף עם חבריכם המנוסים בטכנולוגיה! תגיות: פרויקטים מובילים בקוד פתוח של GitHub, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL & Remory, קוד פתוח, פרויקטים בקוד פתוח של GitHub, פרויקטים פופולריים ב-GitHub, כלי פיתוח, פרודוקטיביות מפתחים, כלים מקומיים, תחילה מקומי, כלי קלי קליטה, סוכני בינה מלאכותית, סוכני קידוד בינה מלאכותית, כלי בינה מלאכותית, כישורי סוכנים, תזמור סוכנים, אוטומציה של זרימת עבודה, זרימת עבודה של בינה מלאכותית, mcp, kubernetes, כלי עיצוב, ניהול פרויקטים, מנוע חיפוש, macos, go, csharp, פיתוח משחקים האשטגים: #קוד פתוח #פרויקטים_גיט #מפתח #תכנות #כלי_פיתוח #סוכני_בינה_איי #קידוד_בינה_איי #כישורי_סוכנים #mcp #תחילה_מקומי #חיפוש_סמנטי #rust #typescript #react #macos [ja] 今週のGitHubオープンソースプロジェクトTOP：VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio : youtube.com 「この動画では、今週最も注目を集めているGitHubのオープンソースプロジェクトを、開発者の生産性向上に役立つツールとして厳選してご紹介します。ローカル環境で動作するツール、パフォーマンス重視のプロジェクト、そしてAIエージェントやコーディングのワークフローを改善するツールなど、様々なプロジェクトを取り上げています。ElevenLabsの完全ローカル代替ツールであるVoiceStudio、ネイティブとWebの両方でReact UIを一度構築できるtamagui、macOS上でほぼ瞬時にディスク全体を検索できるFSearchなどをご紹介します。アプリ開発、コード検索、コーディングエージェントの活用など、あらゆるユーザーにとって役立つツールが揃っています。シンプルで便利なツールばかりなので、ぜひ今日からお試しください。」 👍 AIの最新情報をもっと知りたい方は、いいね、シェア、チャンネル登録をお願いします。ご意見やご質問は下のコメント欄にお寄せください！ 📌 AIプロジェクトの最新情報を無料で入手：manuagi.beehiiv.com 📌 重要なAIツール（アフィリエイトリンク） 🔗 AI Voice - try.elevenlabs.io 🔗 Dzine AIを無料で試す：dzine.ai 📌 タイムスタンプ： 00:00 - イントロ 00:57 - caveman：JuliusBrussee/caveman 01:34 - VoiceStudio：debpalash/VoiceStudio 02:16 - Context Mode：mksglu/context-mode 02:54 - tokenspeed：lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - Octop : TencentCloud/Octop 04:47 - agent-skills : addyosmani/agent-skills 05:28 - Handwired : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - scout : outcrawlai/scout 09:03 - gloss : Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 AIチュートリアル、ヒント、業界情報など、さらに多くの情報をお届けします。ぜひチャンネル登録をお願いします。いいね、コメント、そしてテクノロジーに詳しいお友達とのシェアもお忘れなく！ タグ: 人気のオープンソースGitHubプロジェクト、OpenPencil、Orchard、XERJ、librecalculator、BRUTAL & Remory、オープンソース、オープンソースGitHubプロジェクト、トレンドのGitHubプロジェクト、GitHubプロジェクト、開発者ツール、開発者の生産性、ローカルツール、ローカルファースト、CLIツール、AIエージェント、AIコーディングエージェント、AIツール、エージェントスキル、エージェントオーケストレーション、ワークフロー自動化、AIワークフロー、MCP、Kubernetes、デザインツール、プロジェクト管理、検索エンジン、macOS、Go、C#、ゲーム開発 ハッシュタグ: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [ko] 이번 주 최고의 오픈소스 GitHub 프로젝트: VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI 에이전트 스튜디오 : youtube.com "이 영상에서는 이번 주 개발자 생산성 향상에 도움이 되는 인기 오픈소스 GitHub 프로젝트들을 소개합니다. 로컬 환경에서 바로 실행되는 도구, 성능 최적화 프로젝트, 그리고 AI 에이전트 및 코딩 워크플로우를 개선하는 프로젝트들을 만나보실 수 있습니다. ElevenLabs의 완벽한 로컬 대안인 VoiceStudio, 네이티브 및 웹용 React UI를 한 번만 구축할 수 있는 tamagui, macOS에서 거의 즉각적인 전체 디스크 검색을 제공하는 FSearch 등을 살펴봅니다. 앱 개발, 코드 검색, 코딩 에이전트 작업 등 다양한 분야에서 유용한 도구들을 소개합니다. 지금 바로 사용해 볼 수 있는 간단하고 유용한 도구들입니다." 👍 좋아요, 공유, 구독 부탁드립니다! 더 많은 AI 기술 발전 소식을 받아보세요. 댓글에 의견이나 질문을 남겨주세요! 📌 무료 AI 프로젝트 업데이트 받기: manuagi.beehiiv.com 📌 주요 AI 도구 (제휴 링크) 🔗 AI Voice - try.elevenlabs.io 🔗 Dzine AI 무료 체험: dzine.ai 📌 타임스탬프: 00:00 - 소개 00:57 - caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - Context Mode: mksglu/context-mode 02:54 - tokenspeed: lightseekorg/tokenspeed 03:33 - billion-context: ranxianglei/billion-context 04:11 - 옥탑 : TencentCloud/Octop 04:47 - 에이전트 기술 : addyosmani/agent-skills 05:28 - 핸드와이어드: chenglou/handwired 06:05 - 타마구이 : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - 노노 : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - 스카우트 : outcrawlai/scout 09:03 - 광택 : Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 더 많은 AI 튜토리얼, 팁, 업계 인사이트를 보려면 구독하세요. 좋아요, 댓글, 그리고 기술에 정통한 친구들과 공유하는 것도 잊지 마세요! 태그: 주요 오픈소스 GitHub 프로젝트, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL & Remory, 오픈소스, 오픈소스 GitHub 프로젝트, 인기 GitHub 프로젝트, GitHub 프로젝트, 개발자 도구, 개발자 생산성, 로컬 도구, 로컬 우선, CLI 도구, AI 에이전트, AI 코딩 에이전트, AI 도구, 에이전트 스킬, 에이전트 오케스트레이션, 워크플로 자동화, AI 워크플로, MCP, 쿠버네티스, 디자인 도구, 프로젝트 관리, 검색 엔진, macOS, Go, C#, 게임 개발 해시태그: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [ml] ഈ ആഴ്ചയിലെ മികച്ച ഓപ്പൺ-സോഴ്സ് GitHub പ്രോജക്റ്റുകൾ: VoiceStudio, tamagui, FSearch, sgrep, Indra ... 👉 AI ഏജന്റ്സ് സ്റ്റുഡിയോ : youtube.com "ഈ വീഡിയോയിൽ ഈ ആഴ്ചയിലെ ഏറ്റവും മികച്ച ട്രെൻഡിംഗ് ഓപ്പൺ സോഴ്‌സ് GitHub പ്രോജക്റ്റുകൾ ഉൾപ്പെടുന്നു, പ്രായോഗിക ഡെവലപ്പർ ഉൽപ്പാദനക്ഷമതയ്ക്കായി തിരഞ്ഞെടുത്തത്. നിങ്ങളുടെ സ്വന്തം മെഷീനിൽ പ്രവർത്തിക്കുന്ന ലോക്കൽ-ഫസ്റ്റ് ടൂളുകൾ, പ്രകടനത്തിനായി നിർമ്മിച്ച പ്രോജക്ടുകൾ, AI ഏജന്റും കോഡിംഗ് വർക്ക്ഫ്ലോകളും മെച്ചപ്പെടുത്തുന്ന നിരവധി ടൂളുകൾ നിങ്ങൾ കാണും. ElevenLabs-ന് പൂർണ്ണമായും ലോക്കൽ ബദലായി VoiceStudio, നേറ്റീവ്, വെബിനായി ഒരിക്കൽ React UI-കൾ നിർമ്മിക്കുന്നതിനുള്ള tamagui, macOS-ൽ നിയർ-ഇൻസ്റ്റന്റ് മുഴുവൻ-ഡിസ്ക് തിരയലിനായി FSearch എന്നിവ ഞങ്ങൾ കാണുന്നു. ആപ്പുകൾ നിർമ്മിക്കുന്നതിനോ, കോഡ് തിരയുന്നതിനോ, കോഡിംഗ് ഏജന്റുകളുമായി പ്രവർത്തിക്കുന്നതിനോ ഏതൊരാൾക്കും ഇവിടെ നല്ലൊരു മിക്സ് ഉണ്ട്. ഇന്ന് തന്നെ നിങ്ങൾക്ക് പരീക്ഷിക്കാവുന്ന ലളിതവും ഉപയോഗപ്രദവുമായ ഉപകരണങ്ങൾ." 👍 AI പുരോഗതികളെക്കുറിച്ചുള്ള കൂടുതൽ അപ്‌ഡേറ്റുകൾക്കായി ലൈക്ക് ചെയ്യുക, പങ്കിടുക, സബ്‌സ്‌ക്രൈബ് ചെയ്യുക. നിങ്ങളുടെ ചിന്തകളും ചോദ്യങ്ങളും താഴെയുള്ള അഭിപ്രായങ്ങളിൽ ഇടുക! 📌 സൗജന്യ AI പ്രോജക്റ്റ് അപ്‌ഡേറ്റുകൾ നേടൂ : manuagi.beehiiv.com 📌 പ്രധാനപ്പെട്ട AI ടൂളുകൾ (അഫിലിയേറ്റ്) 🔗 AI വോയ്‌സ് - try.elevenlabs.io 🔗Dzine AI സൗജന്യമായി പരീക്ഷിച്ചുനോക്കൂ : dzine.ai 📌 ടൈംസ്റ്റാമ്പുകൾ : 00:00 - ആമുഖ ഭാഗം 00:57 - ഗുഹാമനുഷ്യൻ : JuliusBrussee/caveman 01:34 - വോയ്‌സ് സ്റ്റുഡിയോ : debpalash/VoiceStudio 02:16 - സന്ദർഭ മോഡ് : mksglu/context-mode 02:54 - tokenspeed : lightseekorg/tokenspeed 03:33 - ബില്യൺ-സന്ദർഭം : ranxianglei/billion-%E0%B4%B8%E0%B4%A8%E0%B5%8D%E0%B4%A6%E0%B5%BC%E0%B4%AD%E0%B4%82 04:11 - ഒക്ടോപ്പ് : TencentCloud/Octop 04:47 - ഏജന്റ്-സ്കിൽസ് : addyosmani/agent-skills 05:28 - ഹാൻഡ്‌വയർഡ് : chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - നോനോ : nolabs-ai/nono 07:53 - Fതിരയൽ : noahdunnagan/fsearch 08:31 - സ്കൗട്ട് : outcrawlai/scout 09:03 - ഗ്ലോസ് : Nutlope/gloss 09:36 - ക്ലോഡെമി : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - ഇന്ദ്ര : datalab-to/indra 11:25 - ഗ്രാഫിക് : Graphicle-AI/graphicle 11:58 - ഹൗസ്-കൺട്രോൾ : 0xProbabillity/house-control 12:29 - യോബിരു : chekusu/yobiru 📈 കൂടുതൽ AI ട്യൂട്ടോറിയലുകൾക്കായി സബ്‌സ്‌ക്രൈബുചെയ്യുക, നുറുങ്ങുകളും വ്യവസായ ഉൾക്കാഴ്ചകളും. നിങ്ങളുടെ സാങ്കേതിക വിദഗ്ദ്ധരായ സുഹൃത്തുക്കളുമായി ലൈക്ക് ചെയ്യാനും കമന്റ് ചെയ്യാനും പങ്കിടാനും മറക്കരുത്! ടാഗുകൾ: ടോപ്പ് ഓപ്പൺ-സോഴ്‌സ് ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ഓപ്പൺ പെൻസിൽ, ഓർച്ചാർഡ്, XERJ, ലിബ്രെകാൽക്കുലേറ്റർ, ബ്രൂട്ടൽ & റിമറി, ഓപ്പൺ സോഴ്‌സ്, ഓപ്പൺ സോഴ്‌സ് ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ട്രെൻഡിംഗ് ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ഡെവലപ്പർ ടൂളുകൾ, ഡെവലപ്പർ ഉൽപ്പാദനക്ഷമത, ലോക്കൽ ടൂളുകൾ, ലോക്കൽ ഫസ്റ്റ്, cli ടൂളുകൾ, AI ഏജന്റുകൾ, AI കോഡിംഗ് ഏജന്റുകൾ, AI ടൂളുകൾ, ഏജന്റ് കഴിവുകൾ, ഏജന്റ് ഓർക്കസ്ട്രേഷൻ, വർക്ക്ഫ്ലോ ഓട്ടോമേഷൻ, AI വർക്ക്ഫ്ലോ, mcp, kubernetes, ഡിസൈൻ ടൂളുകൾ, പ്രോജക്റ്റ് മാനേജ്‌മെന്റ്, സെർച്ച് എഞ്ചിൻ, macos, go, csharp, ഗെയിം ഡെവലപ്‌മെന്റ് ഹാഷ്‌ടാഗുകൾ: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [nl-NL] Top open-source GitHub-projecten: VoiceStudio, tamagui, FSearch, sgrep, Indra & snapcn #302 👉 AI Agents Studio: youtube.com "Deze video behandelt de meest trending open-source GitHub-projecten van deze week, geselecteerd op basis van praktische productiviteit voor ontwikkelaars. Je ziet tools die primair lokaal draaien op je eigen computer, projecten die zijn ontworpen voor prestaties en verschillende die AI-agent- en codeerworkflows verbeteren. We bekijken VoiceStudio als een volledig lokaal alternatief voor ElevenLabs, tamagui voor het eenmalig bouwen van React UI's voor native en web, en FSearch voor bijna direct zoeken op de hele schijf op macOS. Er is een goede mix voor iedereen die apps bouwt, code doorzoekt of met codeeragents werkt. Simpele, nuttige tools die je vandaag nog kunt uitproberen." 👍 Like, deel en abonneer je voor meer updates over AI-ontwikkelingen. Laat je gedachten en vragen achter in de reacties hieronder! 📌 Ontvang GRATIS updates over AI-projecten: manuagi.beehiiv.com 📌 Belangrijke AI-tools (affiliate) 🔗 AI Voice - try.elevenlabs.io 🔗 Probeer Dzine AI GRATIS: dzine.ai 📌 Tijdstempels: 00:00 - Introductie 00:57 - caveman: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - Context Mode: mksglu/context-mode 02:54 - tokenspeed: lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - Octop: TencentCloud/Octop 04:47 - agent-vaardigheden: addyosmani/agent-skills 05:28 - Handbedraad: chenglou/handwired 06:05 - tamagui: tamagui/tamagui 06:37 - snapcn: shadcn-labs/snapcn 07:16 - nono: nolabs-ai/nono 07:53 - FSearch: noahdunnagan/fsearch 08:31 - verkenning: outcrawlai/scout 09:03 - glans : Nutlope/gloss 09:36 - Claudemy : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 Abonneer je voor meer AI-tutorials, tips en inzichten uit de branche. Vergeet niet te liken, te reageren en te delen met je technisch onderlegde vrienden! Tags: Top Open-Source GitHub Projects, OpenPencil, Orchard, XERJ, librecalculator, BRUTAL & Remory, open source, open source github projects, trending github projects, github projects, developer tools, developer productivity, local tools, local first, cli tools, ai agents, ai coding agents, ai tools, agent skills, agent orchestration, workflow automation, ai workflow, mcp, kubernetes, design tools, project management, search engine, macos, go, csharp, game development Hashtags: #opensource #githubprojects #developer #programming #devtools #aiagents #aicoding #agentskills #mcp #localfirst #semanticsearch #rust #typescript #react #macos [pa] ਚੋਟੀ ਦੇ ਓਪਨ-ਸੋਰਸ GitHub ਪ੍ਰੋਜੈਕਟ: VoiceStudio, tamagui, FSearch, sgrep, Indra ਅਤੇ snapcn #302 👉 AI ਏਜੰਟ ਸਟੂਡੀਓ : youtube.com "ਇਹ ਵੀਡੀਓ ਇਸ ਹਫ਼ਤੇ ਪ੍ਰੈਕਟੀਕਲ ਡਿਵੈਲਪਰ ਉਤਪਾਦਕਤਾ ਲਈ ਚੁਣੇ ਗਏ ਚੋਟੀ ਦੇ ਟ੍ਰੈਂਡਿੰਗ ਓਪਨ-ਸੋਰਸ GitHub ਪ੍ਰੋਜੈਕਟਾਂ ਨੂੰ ਕਵਰ ਕਰਦਾ ਹੈ। ਤੁਸੀਂ ਸਥਾਨਕ-ਪਹਿਲੇ ਟੂਲ ਦੇਖੋਗੇ ਜੋ ਤੁਹਾਡੀ ਆਪਣੀ ਮਸ਼ੀਨ 'ਤੇ ਚੱਲਦੇ ਹਨ, ਪ੍ਰਦਰਸ਼ਨ ਲਈ ਬਣਾਏ ਗਏ ਪ੍ਰੋਜੈਕਟ, ਅਤੇ ਕਈ ਜੋ AI ਏਜੰਟ ਅਤੇ ਕੋਡਿੰਗ ਵਰਕਫਲੋ ਨੂੰ ਬਿਹਤਰ ਬਣਾਉਂਦੇ ਹਨ। ਅਸੀਂ VoiceStudio ਨੂੰ ElevenLabs ਦੇ ਇੱਕ ਪੂਰੀ ਤਰ੍ਹਾਂ ਸਥਾਨਕ ਵਿਕਲਪ ਵਜੋਂ ਦੇਖਦੇ ਹਾਂ, ਨੇਟਿਵ ਅਤੇ ਵੈੱਬ ਲਈ ਇੱਕ ਵਾਰ React UI ਬਣਾਉਣ ਲਈ tamagui, ਅਤੇ macOS 'ਤੇ ਲਗਭਗ-ਤੁਰੰਤ ਪੂਰੀ-ਡਿਸਕ ਖੋਜ ਲਈ FSearch। ਐਪਸ ਬਣਾਉਣ, ਕੋਡ ਖੋਜਣ, ਜਾਂ ਕੋਡਿੰਗ ਏਜੰਟਾਂ ਨਾਲ ਕੰਮ ਕਰਨ ਵਾਲੇ ਕਿਸੇ ਵੀ ਵਿਅਕਤੀ ਲਈ ਇੱਥੇ ਇੱਕ ਵਧੀਆ ਮਿਸ਼ਰਣ ਹੈ। ਸਧਾਰਨ, ਉਪਯੋਗੀ ਟੂਲ ਜੋ ਤੁਸੀਂ ਅੱਜ ਹੀ ਅਜ਼ਮਾ ਸਕਦੇ ਹੋ।" 👍 AI ਤਰੱਕੀਆਂ ਬਾਰੇ ਹੋਰ ਅਪਡੇਟਾਂ ਲਈ ਪਸੰਦ ਕਰੋ, ਸਾਂਝਾ ਕਰੋ ਅਤੇ ਗਾਹਕ ਬਣੋ। ਹੇਠਾਂ ਟਿੱਪਣੀਆਂ ਵਿੱਚ ਆਪਣੇ ਵਿਚਾਰ ਅਤੇ ਸਵਾਲ ਛੱਡੋ! 📌 ਮੁਫ਼ਤ AI ਪ੍ਰੋਜੈਕਟ ਅੱਪਡੇਟ ਪ੍ਰਾਪਤ ਕਰੋ: manuagi.beehiiv.com 📌 ਮਹੱਤਵਪੂਰਨ AI ਟੂਲ (ਐਫੀਲੀਏਟ) 🔗 AI ਵੌਇਸ - try.elevenlabs.io 🔗Dzine AI ਮੁਫ਼ਤ ਅਜ਼ਮਾਓ: dzine.ai 📌 ਟਾਈਮਸਟੈਂਪ: 00:00 - ਜਾਣ-ਪਛਾਣ ਭਾਗ 00:57 - ਗੁਫਾਧਾਰੀ: JuliusBrussee/caveman 01:34 - VoiceStudio: debpalash/VoiceStudio 02:16 - ਸੰਦਰਭ ਮੋਡ: mksglu/context-mode 02:54 - ਟੋਕਨਸਪੀਡ: lightseekorg/tokenspeed 03:33 - billion-context : ranxianglei/billion-context 04:11 - ਅਕਤੂਬਰ : TencentCloud/Octop 04:47 - ਏਜੰਟ-ਸਕਿੱਲ : addyosmani/agent-skills 05:28 - ਹੈਂਡਵਾਇਰਡ: chenglou/handwired 06:05 - tamagui : tamagui/tamagui 06:37 - snapcn : shadcn-labs/snapcn 07:16 - nono : nolabs-ai/nono 07:53 - FSearch : noahdunnagan/fsearch 08:31 - ਸਕਾਊਟ: outcrawlai/scout 09:03 - ਚਮਕ: Nutlope/gloss 09:36 - ਕਲੌਡੇਮੀ : assafkip/claudemy 10:08 - sgrep : context-dot-dev/sgrep 10:45 - indra : datalab-to/indra 11:25 - graphicle : Graphicle-AI/graphicle 11:58 - house-control : 0xProbabillity/house-control 12:29 - yobiru : chekusu/yobiru 📈 ਹੋਰ AI ਟਿਊਟੋਰਿਅਲ, ਸੁਝਾਅ, ਅਤੇ ਉਦਯੋਗ ਸੂਝ ਲਈ ਗਾਹਕ ਬਣੋ। ਆਪਣੇ ਤਕਨੀਕੀ-ਸਮਝਦਾਰ ਦੋਸਤਾਂ ਨਾਲ ਪਸੰਦ, ਟਿੱਪਣੀ ਅਤੇ ਸਾਂਝਾ ਕਰਨਾ ਨਾ ਭੁੱਲੋ! ਟੈਗਸ: ਟੌਪ ਓਪਨ-ਸੋਰਸ ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਓਪਨਪੈਂਸਿਲ, ਆਰਚਰਡ, XERJ, ਲਿਬਰੈਕੈਲਕੁਲੇਟਰ, ਬਰੂਟਲ ਅਤੇ ਰੀਮੋਰੀ, ਓਪਨ ਸੋਰਸ, ਓਪਨ ਸੋਰਸ ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਟ੍ਰੈਂਡਿੰਗ ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਡਿਵੈਲਪਰ ਟੂਲਸ, ਡਿਵੈਲਪਰ ਉਤਪਾਦਕਤਾ, ਲੋਕਲ ਟੂਲਸ, ਲੋਕਲ ਫਸਟ, cli ਟੂਲਸ, ਏਆਈ ਏਜੰਟਸ, ਏਆਈ ਕੋਡਿੰਗ ਏਜੰਟਸ, ਏਆਈ ਟੂਲਸ, ਏਜੰਟ ਸਕਿੱਲਸ, ਏਜੰਟ ਆਰਕੈਸਟ੍ਰੇਸ਼ਨ, ਵਰਕਫਲੋ ਆਟੋਮੇਸ਼ਨ, ਏਆਈ ਵਰਕਫਲੋ, ਐਮਸੀਪੀ, ਕੁਬਰਨੇਟਸ, ਡਿਜ਼ਾਈਨ ਟੂਲਸ, ਪ੍ਰੋਜੈਕਟ ਮੈਨੇਜਮੈਂਟ, ਸਰਚ ਇੰਜਣ, ਮੈਕੋਸ, ਗੋ, ਸੀਸ਼ਾਰਪ, ਗੇਮ ਡਿਵੈਲਪਮੈਂਟ ਹੈਸ਼ਟੈਗਸ: #ਓਪਨਸੋਰਸ #ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ #ਡਿਵੈਲਪਰ #ਪ੍ਰੋਗਰਾਮਿੰਗ #ਡੇਵਟੂਲਸ #ਏਏਜੈਂਟਸ #ਏਕੋਡਿੰਗ #ਏਜੈਂਟਸਕੁਸ਼ਲਸ #ਐਮਸੀਪੀ #ਲੋਕਲਫਸਟ #ਸੈਮੈਂਟਿਕਸਸਰਚ #ਰਸਟ #ਟਾਈਪਸਕ੍ਰਿਪਟ #ਰੀਐਕਟ #ਮੈਕੋਸ [pl] Najlepsze projekty open-source na GitHubie: VoiceStudio, tamagui, FSearch, sgrep, Indra i snapcn ... 👉 AI Agents Studio: youtube.com „Ten film omawia najpopularniejsze projekty open source na GitHubie w tym tygodniu, wybrane ze względu na praktyczną produktywność programistów. Zobaczysz narzędzia działające lokalnie, działające na Twoim komputerze, projekty zbudowane z myślą o wydajności oraz kilka, które usprawniają pracę agentów AI i przepływy pracy programistów. Przyjrzymy się VoiceStudio jako w pełni lokalnej alternatywie dla ElevenLabs, Tamagui do tworzenia interfejsów użytkownika React, zarówno natywnych, jak i webowych, oraz FSearch do niemal natychmiastowego przeszukiwania całego dysku w systemie macOS. Znajdziesz tu dobry wybór dla każdego, kto tworzy aplikacje, przeszukuje kod lub pracuje z agentami kodującymi. Proste, przydatne narzędzia, które możesz wypróbować już dziś.” 👍 Polub, udostępnij i zasubskrybuj, aby otrzymywać więcej informacji o postępach w dziedzinie AI. Podziel się swoimi przemyśleniami i pytaniami w komentarzach poniżej! 📌 Otrzymuj BEZPŁATNE aktualizacje projektów AI: manuagi.beehiiv.com 📌 Ważne narzędzia AI (program partnerski) 🔗 AI Voice - try.elevenlabs.io 🔗 Wypróbuj Dzine AI ZA DARMO: dzine.ai 📌 Znaczniki

@_chenglou @github Sources: the official repo chenglou/handwired (README, MIT license; 1,704 stars and 139 forks via the GitHub API at 10:05 AM ET Oct 18) and the live demos at chenglou.me. Not affiliated, NFA. Only clone from the official repo, never from links posted in comments.

有人把 JavaScript 代码变成了神经网络 不用训练，输出和原代码一模一样，还能反向求导 作者是前 React 核心 Cheng Lou，仓库上线两天 英文圈发布帖已经过万赞，中文圈还没人提 代码和神经网络的界限，这周被抹掉了一次 chenglou/handwired

Pretext: Text That Flows Around Shapes Text flows around moving shapes without repeatedly measuring the page’s DOM layout. Pretext is a JavaScript/TypeScript text measurement and layout library by Cheng Lou and the Pretext contributors. prepare() measures segments once using the browser’s font engine; layout() calculates line breaks and height from those cached widths. Applications can then build shape-aware layouts, fitted chat bubbles and multilingual typography. Benchmark scope: our Chrome test used 1,000 paragraphs in 16px Georgia across 40 widths. Repeated layout took about 0.13 ms per width versus about 5.0 ms for DOM height reads, or 36–41× across six runs. The initial prepare() pass (about 16 ms total) was excluded. This is not a universal speed guarantee. Heights matched in 39,985 of 40,000 comparisons; the remaining 15 differed by one line. Repository demos and library outputs are shown alongside our own benchmark and explanatory scenes. Some repository demo designs are credited to @somnai_dreams / Maxwell Ingham. Source: chenglou/pretext Demos: chenglou.me Pretext: Cheng Lou and Pretext contributors · MIT Benchmark, additional scenes and video: index.opensource 움직이는 도형 둘레로 글이 흐릅니다. 페이지의 DOM 레이아웃을 반복해서 재는 대신, 글 조각의 너비를 재사용합니다. Pretext는 Cheng Lou와 기여자들이 만든 JavaScript/TypeScript 글 측정·배치 라이브러리입니다. prepare()에서 브라우저 글꼴 엔진으로 조각 너비를 한 번 재고, layout()에서 그 값으로 줄바꿈과 높이를 계산합니다. 앱은 이를 활용해 도형을 피하는 레이아웃, 꼭 맞는 채팅 말풍선, 다국어 타이포그래피를 만들 수 있습니다. 측정 범위: 이 PC의 Chrome에서 16px Georgia 문단 1,000개와 폭 40가지를 시험했습니다. 폭당 반복 배치는 약 0.13 ms, DOM 높이 읽기는 약 5.0 ms로, 6회 측정에서 36–41배 차이가 났습니다. 최초 prepare() 비용 약 16 ms는 비교에서 제외했습니다. 모든 환경에서 같은 속도를 보장하는 수치가 아닙니다. 높이는 40,000번 중 39,985번 일치했고, 나머지 15번은 한 줄 차이가 있었습니다. 저장소 데모·라이브러리 출력과 직접 만든 측정·설명 장면을 함께 보여 줍니다. 저장소 데모 일부의 디자인 크레디트는 @somnai_dreams / Maxwell Ingham입니다. 출처: chenglou/pretext 데모: chenglou.me Pretext: Cheng Lou and Pretext contributors · MIT 측정·추가 장면·영상: index.opensource #Shorts #OpenSource #Pretext #Typography