tashfeenahmed

老铁们真香呀～ 各家大厂的免费额度，单个拿出来都是玩具，凑一起每月 74 亿 token——FreeLLMAPI 把 34 家免费额度拼进一个接口，一家撞上限就自动切下一家，Claude Code 里写代码不断线。 白嫖拼到这个份上，也是种本事。😂 #白嫖 #ClaudeCode tashfeenahmed/freellmapi t.co

Free AI Power Is a Lifestyle: How I Built an AI Fleet Without Paying a Dime --- title: "Free AI Power Is a Lifestyle: How I Built an AI Fleet Without Paying a Dime" published: true description: "One provider's free tier is a gamble. A whole fleet of them is a hobby. Here's my free AI setup, how it's wired together, and how I keep it from becoming a security nightmare." tags: ai, security, opensource, productivity --- Some people collect stamps. Some people collect sneakers. And some of us, ever since the days of FitGirl repacks and PirateBay.org, collect free stuff like it's an Olympic sport. Naturally, we brought that lifestyle with us into the AI age. With OpenCode's long, generous free run winding down, a lot of free-tier AI users are staring at their terminals and wondering where to go next. I'd like to say I stayed calm. I did not. I built a fleet instead. And honestly? It's not even only about the money. Some of us just enjoy the puzzle: figuring out how different services fit together and squeezing every last drop out of what's available. Saving money is just a very nice side effect. So the idea was simple: instead of depending on one provider, build a whole AI fleet out of whatever's lying around for free. The crew Here's what's in the current environment: - AI Studio - OpenCode - DSH - MiniMax - GitHub Copilot - Antigravity - Freebuff - LM Studio Glue them together with a FreeLLMAPI pipeline that connects a pile of model providers, and suddenly there's a very respectable menu of models for every kind of job. Here's how it came together. Step 1: Getting FreeLLMAPI up and running The starting point was FreeLLMAPI. I gave Freebuff its own throwaway Gmail account and a simple job: set up the app, then go work through the free providers. Basically, "here's a mailbox, go make friends." Once everything was installed and configured, Freebuff got busy signing up for accounts and collecting API keys wherever automation allowed. It also kept a separate list of providers that needed a human, mostly because of CAPTCHAs. (Turns out robots are still not allowed to prove they aren't robots.) The final tally: - 37 providers on the list - About 5 needed me to step in and grab the API keys by hand - 2 wanted Chinese-specific email addresses, so they got politely skipped After that little exercise, I had a healthy pool of providers ready to plug into my dev workflow. Step 2: Picking the actual fleet Having 30+ providers doesn't mean you need to use every model. That would be like owning 30 hammers because they were free. I piped the available models into DSH, my main harness, through FreeLLMAPI's single unified API key, then filtered out the smaller, less useful ones. The main fleet ended up being: - Nemotron VL Super - DeepSeek V4.1 - GLM 5.3 - MiniMax 3.1 Everyone gets a job: - Images and video: Nemotron and MiniMax handle most of it. - Coding: DeepSeek and GLM carry the bulk of the workload. - Web dev and UI/UX: Google AI Studio takes care of websites, interface design and frontend tasks. I also have access to Claude Opus 5, Sonnet 5 and Haiku 5 through the free allocations available to me. Those are my "call the senior engineers" models, saved for planning, architectural reviews and auditing implementations. The philosophy: don't ask one model to do everything. Let each one do what it's good at, like a team where nobody has to pretend to be a frontend designer. Step 3: Many harnesses, one workflow The other tools haven't gone anywhere. OpenCode, GitHub Copilot, Antigravity and MiniMax are all still part of my daily routine. Each has its limits, but each still hands out some useful free allowance, and I'm not about to turn down free allowance. Depending on the task, one harness might do the implementation, another helps with planning, and a third reviews or audits the result. It all meets in the same GitHub repo in the end, like a group project where everyone actually showed up. The big win is not being locked in. No single harness, model or provider is holding the whole thing up. Workloads get spread around, models get swapped when needed, and development keeps going even if one service has a bad day. Wait, but is this thing secure? Good question. Because here's the uncomfortable truth: I've built a setup that holds API keys for dozens of providers, runs AI agents that can touch my code, and funnels everything through a single unified key. That's a very convenient setup. It's also a very convenient target if I'm careless. So here's how I think about locking it down, and how I keep it that way. Treat the unified key like a master key FreeLLMAPI gives me one key that opens many doors. Great for convenience, scary if it leaks. So: - Never commit keys to Git. Keep them in environment variables or a .env file that's in .gitignore. Turn on GitHub's secret scanning for your repos so a mistake gets flagged fast. - Keep the service off the open internet. If FreeLLMAPI only needs to be reached from your own machine, bind it to localhost. If you need remote access, put it behind a VPN or a reverse proxy with authentication, and check how the app itself handles auth rather than assuming it does. - Rotate keys now and then. If a key ever shows up somewhere it shouldn't, revoke it and generate a new one. Don't wait and hope. Lock down the throwaway accounts The throwaway Gmail is the front door to every provider account Freebuff created. If someone gets into that mailbox, they can reset passwords all over the place. - Use a long, unique password from a password manager, and turn on 2FA for that Gmail. - Store the keys and logins for the providers that needed manual signup in the password manager too, not in a random text file. - Don't reuse that password anywhere. Ever. Don't give your agents the keys to the kingdom AI coding agents can run commands and edit files, which is wonderful until one confidently does something silly. - Run them in a sandbox if you can: a container, a VM, or at least a separate user account. - Keep production credentials, SSH keys and personal files out of reach of the agents. - Review what they produce before it merges. That's another reason the shared GitHub repo is useful: pull requests make a good checkpoint. Let one model audit another's work, then let a human glance at it too. Remember: free tiers aren't always private Some free tiers may log prompts or use them to improve their models. I don't assume otherwise, so I don't paste secrets, client code, customer data or anything I wouldn't want read. For sensitive work, a local model through LM Studio is the safer choice, since the data never leaves the machine. Read the terms (yes, really) Automating signups and farming free keys can bump into providers' terms of service, and some providers limit one account per person. Check the rules for each service you use. Getting banned from a free tier is a very expensive way to save money. Keeping it healthy: my maintenance routine Setting it up is the fun part. Keeping it safe is the "eat your vegetables" part. Here's the routine I follow, roughly once a month: 1. Update things. Pull the latest FreeLLMAPI, update dependencies, and keep the OS and harnesses patched. 2. Audit the provider list. Delete accounts and keys for providers I no longer use. Every dormant key is a liability. 3. Rotate the important keys. At least the unified key and anything that touches the repo. 4. Check usage and quotas. A sudden spike in requests that I didn't make is a red flag that a key may have leaked. 5. Back up the config. Keep an encrypted copy of the setup so rebuilding after a disaster takes an afternoon instead of a week. 6. Check what's exposed. Confirm the service is still only reachable the way I intended, and that the repo has no secrets in its history. It takes maybe half an hour. Much cheaper than the alternative. Why bother with all this? Because relying on a single free provider is risky. Free quotas change. Models disappear. Restrictions appear. Sometimes the service you've loved for months turns into a shadow of itself overnight. A diversified setup gives you options. If one service tightens its limits, there's another. If a model flops at a task, route that task elsewhere. And having models dedicated to specific jobs means less compromise between speed, capability and availability. Is it a bit of work? Yes. Account management, API configs, routing, quota watching and now security upkeep are all part of the deal. But for me, that trade-off is worth it. Final thoughts I'm not claiming this is the ultimate AI setup, or that free tiers will stay this generous forever. It's just what works right now, and I'm enjoying it. The AI world is moving at a ridiculous speed, and there are more capable models and tools out there than ever. You don't have to pick one provider or pay for five subscriptions to build a solid development environment. Sometimes you just need to connect the dots. OpenCode's free run may be changing, but the free AI ecosystem is a lot bigger than any single platform.

1) None, I use freellmapi tashfeenahmed/freellmapi 2) No 3) Oh my pi in bwrap sandbox, used to use Opencode 4) No 5) No

Run Claude Code and the OpenAI SDK on free LLM tiers with FreeLLMAPI Almost every AI lab now has a free tier: a few million tokens a month, a few thousand requests a day. One tier on its own is a toy. Stacked together behind one endpoint, they are enough to run side projects, experiments and even a coding agent without a bill. That is the idea behind FreeLLMAPI. tashfeenahmed/freellmapi is a self-hosted server that aggregates the free tiers of 34 LLM providers behind a single OpenAI-compatible /v1 API. Per the README it stores your provider keys encrypted, routes each request to the best available model, falls over to the next provider when one is rate-limited, and tracks per-key usage so you stay under every free-tier cap. The README puts the stacked total at roughly 7.4 billion tokens a month across 635 free model endpoints. This post covers the install, connecting Claude Code, and calling it from Python. How the routing works You add keys for the providers you want (Google, Groq, Cerebras, Mistral, OpenRouter, Cloudflare, Cohere, NVIDIA, Hugging Face and more) and order them in a fallback chain. For each request the router picks the highest-priority model with a healthy key that is under all its rate limits, decrypts the key in memory and calls the provider. On a 429 or 5xx it cools that key down and retries the next model in your chain. A few details make it practical for agents: - More than chat completions. It serves /v1/responses (what Codex CLI needs), /v1/embeddings, image, speech and transcription endpoints, and /v1/models. - Anthropic Messages API. /v1/messages speaks Anthropic's wire format, so Claude Code and the Anthropic SDKs can run against the free pool. - Sticky sessions. A conversation stays on one model for 30 minutes, with an optional handoff note if a mid-chat switch does happen. - One token out. Your apps only ever see a single unified freellmapi- bearer key. Provider keys are AES-256-GCM encrypted in SQLite. Step 1: install With Docker, the one-liner sets up ~/freellmapi, generates an encryption key, pulls the image and starts the container: curl -fsSL https://freellmapi.co/install.sh | bash Read the script first if you prefer; the README links it. Re-running it keeps your .env and encryption key and updates the container. On Windows or macOS there is also a desktop tray app on the Releases page, which runs the router and dashboard locally with no account to set up. From source: npm install && npm run dev That gives you the server on port 3001 and the dashboard on 5173. Step 2: add keys and grab the unified key Open localhost, add provider keys on the Keys page, reorder the Fallback Chain, and copy the unified API key from the Keys page header. The Playground shows which provider served each test message, with model ID and latency, which is a quick way to confirm your keys work. Step 3: point Claude Code at it The README gives a setup command that reads your live catalog, backs up the existing config and merges into it: npx freellmapi setup-claude --url http://localhost:3001 --api-key <unified-key> Every generator supports --dry-run so you can see the change first. If you would rather keep credentials out of config files, npx freellmapi launch starts Claude Code against the router and launch-codex does the same for Codex. The supported list also covers Gemini CLI, Cursor, Cline, Roo Code, OpenCode, Aider, Goose, Crush, Zed and more. Step 4: call it from Python Any OpenAI client works. Set the base URL to your server: from openai import OpenAI client = OpenAI( base_url="http://localhost:3001/v1", api_key="freellmapi-your-unified-key", ) resp = client.chat.completions.create( model="auto", # or "auto:fast", "auto:smart", a profile, or a model id messages=[{"role": "user", "content": "Summarise the fall of Rome in one sentence."}], ) print(resp.choices[0].message.content) Every response carries an X-Routed-Via: <platform>/<model> header, so you can log which provider actually answered. What people are running on it From the builds tracked on the FreeLLMAPI page: - One builder routed Claude Code through FreeLLMAPI across Mistral, Gemini, Groq and Cerebras, tested balanced routing and automatic fallback, and wrote up the provider failures and rate limits they hit. - Another runs a 24/7 WhatsApp assistant on a single free-tier cloud VPS: Hermes Agent, a self-hosted FreeLLMAPI, a custom WhatsApp bridge and persistent memory. - A user built an Obsidian plugin that detects foreign-language text and translates it, running on pooled free tokens through the desktop app. - Someone packaged it as an app for a home NAS. FreeLLMAPI or LiteLLM? They overlap but aim at different jobs. LiteLLM is an AI gateway and Python SDK for calling 100+ providers through one OpenAI-format interface, with cost tracking, guardrails and load balancing, and it is the usual pick when you are paying for production traffic. FreeLLMAPI is local-first and single-user by design, and its catalog and router are built specifically around free-tier quotas. Caveats - The README is blunt about the trade-offs: no frontier models, variable latency, no SLA, and the effective intelligence of the endpoint dips late in the day as top models hit their daily caps, then resets at UTC midnight. - Free installs get the model catalog as a monthly snapshot, so a new model reaches them 30 days after it joins the live feed. Same-day updates are a paid tier. - You still manage your own provider keys and each provider's terms. - This walkthrough follows the README and has not been run end to end by us. Source repo: tashfeenahmed/freellmapi. License: MIT. Want the setup commands for 50 AI repos people actually ship with? Get the free AI Repos That Actually Ship pack: dedupedai.com

How a Stale Provider Catalog Breaks Your LLM Gateway at 3 AM How a Stale Provider Catalog Breaks Your LLM Gateway at 3 AM You wake to alerts: your LLM gateway is returning 400s, but all upstream providers report healthy. The failover chain triggers perfectly. The router rejects valid requests. You redeploy—same behavior. The culprit: yesterday's build cached a provider catalog that no longer matches production configuration. Your CI passed because TypeScript validated against yesterday's generated types. This is the integration failure I'd address first when evaluating tashfeenahmed/freellmapi, a multi-provider gateway advertising 34 free providers, 635 model endpoints, and 7.4 billion tokens per month behind one /v1 interface. Those are project claims, not independently verified measurements. The stated scope is personal experimentation, not production SLAs. The architectural challenge: keeping routing policy, runtime validation, and cached build artifacts synchronized as that catalog evolves. Put the Catalog Upstream of the Router I'd integrate the gateway through a small TypeScript monorepo rather than scatter provider-specific assumptions across applications. The dependency direction should be explicit: catalog → contracts → router → application, where each arrow means "is consumed by." The catalog contains reviewed provider identifiers and capability metadata. Contracts expose request schemas and types. The router translates an accepted request into an upstream call. Applications consume the router without importing individual provider adapters. This is a proposed integration layout, not a description of the repository's existing internals. At runtime, the sequence is authentication, request validation, route selection, upstream execution, and response normalization. Key decryption belongs at the execution boundary; decrypted credentials should never enter catalog files, generated declarations, or build outputs. A toy tutorial puts all this in one handler. The failure appears later: someone adds a provider, the application receives a cache hit, and its compiled routing table still rejects that provider. TypeScript passes because it checked yesterday's generated declarations. Validate Route Syntax Without Recursive Types For application-owned route identifiers, I prefer a small, bounded utility over recursively splitting arbitrary strings: type Provider = "free" | "custom"; type CheckedRoute<S extends string> = S extends `${infer P}:${infer M}` ? P extends Provider ? M extends "" | `${string}:${string}` ? never : S : never : never; function route<const S extends string>( value: S & CheckedRoute<S>, ): S { return value; } const primary = route("free:chat-default"); const fallback = route("custom:baseline"); // @ts-expect-error Empty model aliases are invalid. route("free:"); // @ts-expect-error Unknown provider namespace. route("unknown:chat-default"); These are local aliases, not claims about upstream model names. Resolve them through the catalog before forwarding requests. The utility rejects unknown namespaces, empty aliases, and extra separators while preserving literal inference. It deliberately does not prove that a model exists. Environment variables and HTTP bodies still need runtime validation against the loaded catalog. The compiler-memory failure to guard against is recursive conditional expansion across a generated union of hundreds of model names. Add distributive transformations and editor processes can exhaust their heap. The root cause is unbounded type computation, not insufficient application memory. Keep syntax validation shallow; represent catalog membership as data. Make the Dependency Graph Part of Cache Correctness For a Turborepo 2 integration workspace, I'd start with this root turbo.json: { "$schema": "https://turbo.build/schema.json", "envMode": "strict", "globalDependencies": [ "tsconfig.base.json", "biome.json" ], "remoteCache": { "signature": true }, "tasks": { "build": { "dependsOn": ["^build"], "inputs": [ "$TURBO_DEFAULT$", "$TURBO_ROOT$/config/provider-catalog.json" ], "outputs": [ "dist/**", ".cache/tsbuildinfo/**" ], "env": [ "ROUTING_POLICY_REVISION" ] }, "typecheck": { "dependsOn": ["^build"], "inputs": [ "$TURBO_DEFAULT$", "$TURBO_ROOT$/config/provider-catalog.json" ], "outputs": [] }, "lint": { "inputs": ["$TURBO_DEFAULT$"], "outputs": [] } } } This assumes each package's build emits into dist, with incremental metadata under .cache/tsbuildinfo. Its typecheck script should run tsc --noEmit --incremental false. Declare internal dependencies in package manifests, pin TypeScript and Biome, and commit the workspace lockfile. Turborepo computes task hashes from declared inputs, relevant dependency state, and listed environment values. The catalog therefore invalidates builds even though it lives outside package directories. Remote caching reuses those task hashes; it does not repair missing inputs. Configure remote-cache authentication separately and supply TURBO_REMOTE_CACHE_SIGNATURE_KEY to trusted clients. Signing protects artifact integrity, not correctness. Keep provider credentials out of build tasks entirely. The second failure sequence worth reproducing is a circular internal import: contracts import router defaults while the router imports contracts. Incremental declarations can then become order-dependent. Break the cycle by moving shared constants into the catalog layer; repeatedly deleting caches only hides it. Benchmark Transport Separately from Build Correctness For a controlled comparison, I'd place B-Lost's relay endpoint, https://b-lost.com/v1, behind the custom-provider adapter as an optional baseline. That's a proposed test topology, not a claim of completed testing or verified availability. Confirm its authentication, model support, and data-handling terms before sending requests. Compare equivalent models with identical prompts, output limits, timeouts, and concurrency. Record time to first token separately from completion latency. Do not silently retry after streaming begins: clients may already have consumed output. The Hardest Trade-Off The architecture I've outlined adds deliberate friction: a reviewed catalog, explicit dependency graph, and bounded type utilities. That friction is the design. It makes stale builds diagnosable rather than silent. It keeps compiler cost predictable rather than unbounded. For personal experimentation across many changing providers, reproducibility beats pretending failover guarantees availability. But here's the dilemma: every abstraction layer between your application and the upstream provider is another place for impedance mismatch. The gateway can normalize interfaces, but it can't normalize semantics. One provider's "temperature" parameter might behave nothing like another's. Streaming implementations differ. Error codes diverge. Rate limits are opaque. How much normalization is worth the maintenance cost? Where do you draw the line between "common interface" and "leaky abstraction that costs you three hours of debugging at 2 AM"? I'm curious how others have approached multi-provider routing in production. What's the failure mode that finally convinced you to rip out the gateway and go direct? Or what's the design decision that made it sustainable? Drop your war stories in the comments.

Claude Code With Free AI Models (Up to 7B Tokens/Month) Use free AI models with Claude Code through FreeLLMAPI. The full video walks through the setup and provider limits. Full setup video: youtu.be Free API resource list: mnfst/awesome-free-llm-apis FreeLLMAPI router: tashfeenahmed/freellmapi Each provider has its own free limits and model choices. #ClaudeCode #AIBuilder #OpenSource [ar] استخدام Claude Code مع نماذج ذكاء اصطناعي مجانية (ما يصل إلى 7 مليار رمز شهرياً) استخدم نماذج الذكاء الاصطناعي المجانية مع Claude Code عبر FreeLLMAPI. يشرح الفيديو الكامل عملية الإعداد وحدود مزود الخدمة. فيديو الإعداد الكامل: youtu.be قائمة موارد واجهة برمجة التطبيقات المجانية: mnfst/awesome-free-llm-apis موجّه FreeLLMAPI: tashfeenahmed/freellmapi لكل مزود حدوده المجانية وخيارات النماذج الخاصة به. #ClaudeCode #AIBuilder #OpenSource [bn] বিনামূল্যে এআই মডেলের সাথে Claude Code (প্রতি মাসে ৭ বিলিয়ন টোকেন পর্যন্ত) FreeLLMAPI-এর মাধ্যমে Claude Code-এর সাথে বিনামূল্যে AI মডেল ব্যবহার করুন। সম্পূর্ণ ভিডিওটিতে সেটআপ এবং প্রোভাইডারের সীমাবদ্ধতাগুলো বিস্তারিতভাবে দেখানো হয়েছে। সম্পূর্ণ সেটআপ ভিডিও: youtu.be বিনামূল্যের API রিসোর্স তালিকা: mnfst/awesome-free-llm-apis FreeLLMAPI রাউটার: tashfeenahmed/freellmapi প্রতিটি প্রোভাইডারের নিজস্ব বিনামূল্যের সীমাবদ্ধতা এবং মডেলের বিকল্প রয়েছে। #ClaudeCode #AIBuilder #OpenSource [de-DE] Claude Code mit kostenlosen KI-Modellen (bis zu 7 Mrd. Token/Monat) Nutzen Sie kostenlose KI-Modelle mit Claude Code über FreeLLMAPI. Das vollständige Video erklärt die Einrichtung und die Beschränkungen der Anbieter. Video zur Einrichtung: youtu.be Liste der kostenlosen API-Ressourcen: mnfst/awesome-free-llm-apis FreeLLMAPI-Router: tashfeenahmed/freellmapi Jeder Anbieter hat eigene Beschränkungen und Modellauswahlmöglichkeiten. #ClaudeCode #AIBuilder #OpenSource [es-US] Claude Code con modelos de IA gratuitos (hasta 7 mil millones de tokens al mes) Utiliza modelos de IA gratuitos con Claude Code a través de FreeLLMAPI. El vídeo completo explica la configuración y las limitaciones del proveedor. Vídeo de configuración completa: youtu.be Lista de recursos de API gratuitos: mnfst/awesome-free-llm-apis Enrutador de FreeLLMAPI: tashfeenahmed/freellmapi Cada proveedor tiene sus propias limitaciones y opciones de modelos gratuitos. #ClaudeCode #AIBuilder #OpenSource [fr-FR] Claude Code avec des modèles IA gratuits (jusqu'à 7 milliards de jetons/mois) Utilisez des modèles d'IA gratuits avec Claude Code grâce à FreeLLMAPI. La vidéo complète détaille la configuration et les limitations des fournisseurs. Tutoriel de configuration complet : youtu.be Liste des ressources API gratuites : mnfst/awesome-free-llm-apis Routeur FreeLLMAPI : tashfeenahmed/freellmapi Chaque fournisseur propose ses propres limitations et choix de modèles gratuits. #ClaudeCode #AIBuilder #OpenSource [hi] मुफ्त AI मॉडल के साथ Claude Code (7 अरब टोकन/महीने तक) FreeLLMAPI के ज़रिए Claude Code के साथ मुफ़्त AI मॉडल का इस्तेमाल करें। पूरा वीडियो सेटअप और प्रोवाइडर की सीमाओं के बारे में विस्तार से बताता है। पूरा सेटअप वीडियो: youtu.be मुफ़्त API संसाधनों की सूची: mnfst/awesome-free-llm-apis FreeLLMAPI राउटर: tashfeenahmed/freellmapi हर प्रोवाइडर की अपनी मुफ़्त सीमाएँ और मॉडल चुनने के विकल्प होते हैं। #ClaudeCode #AIBuilder #OpenSource [id] Claude Code Dengan Model AI Gratis (Hingga 7 Miliar Token/Bulan) Gunakan model AI gratis dengan Claude Code melalui FreeLLMAPI. Video lengkapnya menjelaskan pengaturan dan batasan penyedia. Video pengaturan lengkap: youtu.be Daftar sumber daya API gratis: mnfst/awesome-free-llm-apis Router FreeLLMAPI: tashfeenahmed/freellmapi Setiap penyedia memiliki batasan gratis dan pilihan modelnya sendiri. #ClaudeCode #AIBuilder #OpenSource [it] Claude Code con modelli AI gratuiti (fino a 7 miliardi di token al mese) Utilizza modelli AI gratuiti con Claude Code tramite FreeLLMAPI. Il video completo illustra la configurazione e i limiti dei provider. Video di configurazione completo: youtu.be Elenco delle risorse API gratuite: mnfst/awesome-free-llm-apis Router FreeLLMAPI: tashfeenahmed/freellmapi Ogni provider ha i propri limiti e modelli gratuiti. #ClaudeCode #AIBuilder #OpenSource [iw] Claude Code עם מודלים של בינה מלאכותית בחינם (עד 7 מיליארד טוקנים בחודש) השתמשו במודלים חינמיים של בינה מלאכותית עם Claude Code דרך FreeLLMAPI. הסרטון המלא מסביר על ההתקנה ומגבלות הספק. סרטון התקנה מלא: youtu.be רשימת משאבים חינמית של API: mnfst/awesome-free-llm-apis נתב FreeLLMAPI: tashfeenahmed/freellmapi לכל ספק יש מגבלות חינמיות ובחירות מודל משלו. #ClaudeCode #AIBuilder #OpenSource [ja] Claude Codeを無料のAIモデルで使う方法（月間最大70億トークン） Claude CodeとFreeLLMAPIを使って、無料のAIモデルを利用しましょう。セットアップ方法とプロバイダーの制限事項については、動画で詳しく解説しています。 セットアップ動画：youtu.be 無料APIリソース一覧：mnfst/awesome-free-llm-apis FreeLLMAPIルーター：tashfeenahmed/freellmapi 各プロバイダーには、それぞれ独自の無料利用制限とモデル選択肢があります。 #ClaudeCode #AIBuilder #OpenSource [ko] 무료 AI 모델로 Claude Code 사용하기 (월 최대 70억 토큰) FreeLLMAPI를 통해 Claude Code에서 무료 AI 모델을 사용해 보세요. 전체 영상에서 설정 방법과 제공업체별 제한 사항을 자세히 안내합니다. 설정 영상: youtu.be 무료 API 리소스 목록: mnfst/awesome-free-llm-apis FreeLLMAPI 라우터: tashfeenahmed/freellmapi 각 제공업체마다 무료 사용량 제한 및 모델 선택 가능 범위가 다릅니다. #ClaudeCode #AIBuilder #OpenSource [ml] സൗജന്യ AI മോഡലുകൾക്കൊപ്പം ക്ലോഡ് കോഡ് (പ്രതിമാസം 7 ബില്യൺ ടോക്കണുകൾ വരെ) FreeLLMAPI വഴി ക്ലോഡ് കോഡുള്ള സൗജന്യ AI മോഡലുകൾ ഉപയോഗിക്കുക. പൂർണ്ണ വീഡിയോ സജ്ജീകരണത്തിന്റെയും ദാതാവിന്റെയും പരിധികളിലൂടെ കടന്നുപോകുന്നു. പൂർണ്ണ സജ്ജീകരണ വീഡിയോ: youtu.be സൗജന്യ API റിസോഴ്‌സ് ലിസ്റ്റ്: mnfst/awesome-free-llm-apis FreeLLMAPI റൂട്ടർ: tashfeenahmed/freellmapi ഓരോ ദാതാവിനും അവരുടേതായ സൗജന്യ പരിധികളും മോഡൽ ചോയ്‌സുകളും ഉണ്ട്. #ClaudeCode #AIBuilder #OpenSource [nl-NL] Claude Code met gratis AI-modellen (tot 7 miljard tokens per maand) Gebruik gratis AI-modellen met Claude Code via FreeLLMAPI. De volledige video laat de installatie en de limieten van de providers zien. Volledige installatievideo: youtu.be Lijst met gratis API-bronnen: mnfst/awesome-free-llm-apis FreeLLMAPI-router: tashfeenahmed/freellmapi Elke provider heeft zijn eigen gratis limieten en modelkeuzes. #ClaudeCode #AIBuilder #OpenSource [pa] ਮੁਫਤ AI ਮਾਡਲਾਂ ਨਾਲ Claude Code (7 ਅਰਬ ਟੋਕਨ/ਮਹੀਨਾ ਤੱਕ) FreeLLMAPI ਰਾਹੀਂ Claude Code ਵਾਲੇ ਮੁਫ਼ਤ AI ਮਾਡਲਾਂ ਦੀ ਵਰਤੋਂ ਕਰੋ। ਪੂਰਾ ਵੀਡੀਓ ਸੈੱਟਅੱਪ ਅਤੇ ਪ੍ਰਦਾਤਾ ਸੀਮਾਵਾਂ ਵਿੱਚੋਂ ਲੰਘਦਾ ਹੈ। ਪੂਰਾ ਸੈੱਟਅੱਪ ਵੀਡੀਓ: youtu.be ਮੁਫ਼ਤ API ਸਰੋਤ ਸੂਚੀ: mnfst/awesome-free-llm-apis FreeLLMAPI ਰਾਊਟਰ: tashfeenahmed/freellmapi ਹਰੇਕ ਪ੍ਰਦਾਤਾ ਦੀਆਂ ਆਪਣੀਆਂ ਮੁਫ਼ਤ ਸੀਮਾਵਾਂ ਅਤੇ ਮਾਡਲ ਚੋਣਾਂ ਹੁੰਦੀਆਂ ਹਨ। #ClaudeCode #AIBuilder #OpenSource [pl] Claude Code z darmowymi modelami AI (do 7 mld tokenów miesięcznie) Korzystaj z darmowych modeli AI z Claude Code za pośrednictwem FreeLLMAPI. Pełny film instruktażowy omawia konfigurację i limity dostawców. Pełny film instruktażowy: youtu.be Lista zasobów darmowego API: mnfst/awesome-free-llm-apis Router FreeLLMAPI: tashfeenahmed/freellmapi Każdy dostawca ma własne limity i opcje wyboru darmowych modeli. #ClaudeCode #AIBuilder #OpenSource [pt-BR] Claude Code com modelos de IA gratuitos (até 7B de tokens/mês) Use modelos de IA gratuitos com o Claude Code através do FreeLLMAPI. O vídeo completo mostra o passo a passo da configuração e os limites do provedor. Vídeo completo de configuração: youtu.be Lista de recursos de API gratuitos: mnfst/awesome-free-llm-apis Roteador FreeLLMAPI: tashfeenahmed/freellmapi Cada provedor tem seus próprios limites gratuitos e opções de modelos. #ClaudeCode #AIBuilder #OpenSource [ru] Claude Code с бесплатными ИИ-моделями (до 7 млрд токенов в месяц) Используйте бесплатные модели ИИ с Claude Code через FreeLLMAPI. В полном видео подробно описана настройка и ограничения провайдера. Полное видео по настройке: youtu.be Список бесплатных ресурсов API: mnfst/awesome-free-llm-apis Маршрутизатор FreeLLMAPI: tashfeenahmed/freellmapi У каждого провайдера свои бесплатные ограничения и выбор моделей. #ClaudeCode #AIBuilder #OpenSource [ta] இலவச AI மாடல்களுடன் Claude Code (மாதம் 7B டோக்கன்கள் வரை) FreeLLMAPI வழியாக கிளாட் கோட் (Claude Code) உடன் இலவச AI மாடல்களைப் பயன்படுத்துங்கள். முழு வீடியோவும் அமைப்பு மற்றும் வழங்குநர் வரம்புகளை விளக்குகிறது. முழு அமைப்பு வீடியோ: youtu.be இலவச API ஆதாரப் பட்டியல்: mnfst/awesome-free-llm-apis FreeLLMAPI ரூட்டர்: tashfeenahmed/freellmapi ஒவ்வொரு வழங்குநருக்கும் அதன் சொந்த இலவச வரம்புகள் மற்றும் மாடல் தேர்வுகள் உள்ளன. #கிளாட்கோட் #AIபில்டர் #திறந்தமூலம் [te] ఉచిత AI మోడల్స్‌తో క్లాడ్ కోడ్ (నెలకు 7 బిలియన్ టోకెన్‌ల వరకు) FreeLLMAPI ద్వారా క్లాడ్ కోడ్‌తో ఉచిత AI మోడల్‌లను ఉపయోగించండి. ఈ పూర్తి వీడియో సెటప్ మరియు ప్రొవైడర్ పరిమితులను వివరిస్తుంది. పూర్తి సెటప్ వీడియో: youtu.be ఉచిత API వనరుల జాబితా: mnfst/awesome-free-llm-apis FreeLLMAPI రౌటర్: tashfeenahmed/freellmapi ప్రతి ప్రొవైడర్‌కు దాని స్వంత ఉచిత పరిమితులు మరియు మోడల్ ఎంపికలు ఉంటాయి. #ClaudeCode #AIBuilder #OpenSource [uk] Claude Code з безкоштовними AI-моделями (до 7 млрд токенів на місяць) Використовуйте безкоштовні моделі штучного інтелекту з Claude Code через FreeLLMAPI. Повне відео показує налаштування та обмеження постачальників. Повне відео налаштування: youtu.be Список безкоштовних ресурсів API: mnfst/awesome-free-llm-apis Маршрутизатор FreeLLMAPI: tashfeenahmed/freellmapi Кожен постачальник має власні безкоштовні обмеження та вибір моделей. #ClaudeCode #AIBuilder #OpenSource

Trending Open-Source GitHub Projects : Ruflo, Strata, Flutter, Kinetograph & Kensaku #306 👉 AI Agents Studio : youtube.com "This video covers top trending open-source GitHub projects this week, focused on developer productivity, local tools, performance, and AI workflow improvement. You’ll see Ruflo for multi-agent swarm orchestration in Claude Code, Strata for running big AI models locally on consumer hardware, and Flutter for building apps for every screen from one codebase. Along with agent skills, local inference servers, and self-hosted tools, this roundup gives developers a quick, practical look at new tools worth trying this week." 👍 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 01:02 - OpenBot : CopilotKit/OpenBot 01:36 - lever : github/lever 02:31 - TradingAgents : TauricResearch/TradingAgents 03:11 - ruflo : ruvnet/ruflo 03:50 - text-to-cad : earthtojake/text-to-cad 04:30 - flutter : flutter/flutter 05:05 - Android skills : android/skills 05:44 - freellmapi : tashfeenahmed/freellmapi 06:26 - Strata : Niko1221/Strata 07:07 - spark-local-inference : NVIDIA/spark-local-inference 07:52 - OpenDuet : CopilotKit/OpenDuet 08:28 - calender-app-design : kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - survival-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - kensaku : yjid/kensaku 11:42 - kinetograph : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - LightPost : brainstormity/LightPost 📈 Subscribe for more AI tutorials, tips, and industry insights. Don't forget to like, comment, and share with your tech-savvy friends! Tags: Trending Open-Source GitHub Projects, Ruflo, Strata, Flutter, Kinetograph & Kensaku, open source, open source github projects, trending github projects, developer productivity, cli tools, local tools, self hosted, workflow automation, ai projects, ai tools, ai agents, coding agents, agent skills, multi agent, local inference, flutter, dart, rust, python, typescript, mcp server, developer tools, github projects weekly, local first, offline ai Hashtags: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [ar] أبرز مشاريع GitHub مفتوحة المصدر: Ruflo، وStrata، وFlutter، وKinetograph، وKensaku #306 👈 استوديو وكلاء الذكاء الاصطناعي: youtube.com "يتناول هذا الفيديو أبرز مشاريع GitHub مفتوحة المصدر الرائجة هذا الأسبوع، مع التركيز على إنتاجية المطورين، والأدوات المحلية، والأداء، وتحسين سير عمل الذكاء الاصطناعي. ستشاهدون Ruflo لتنسيق أسراب متعددة الوكلاء في Claude Code، وStrata لتشغيل نماذج الذكاء الاصطناعي الضخمة محليًا على أجهزة المستخدمين، وFlutter لبناء تطبيقات لكل شاشة من قاعدة بيانات واحدة. إلى جانب مهارات الوكلاء، وخوادم الاستدلال المحلية، والأدوات ذاتية الاستضافة، يقدم هذا العرض للمطورين نظرة سريعة وعملية على أدوات جديدة تستحق التجربة هذا الأسبوع." 👍 اضغطوا إعجاب، وشاركوا، واشتركوا لمتابعة آخر التحديثات حول تطورات الذكاء الاصطناعي. شاركونا أفكاركم وأسئلتكم 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 📌 الفهرس الزمني: 00:00 - مقدمة 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - Lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - Ruflo: ruvnet/ruflo 03:50 - تحويل النص إلى CAD: earthtojake/text-to-cad 04:30 - فلاتر: flutter/flutter 05:05 - مهارات أندرويد: android/skills 05:44 - فريلماب: tashfeenahmed/freellmapi 06:26 - ستراتا: Niko1221/Strata 07:07 - سبارك للاستدلال المحلي: NVIDIA/spark-local-inference 07:52 - أوبن ديو: CopilotKit/OpenDuet 08:28 - تصميم تطبيق التقويم: kargulstudio/calender-app-design 09:11 - MiniCPM-OCR: OpenBMB/MiniCPM-OCR 09:51 - البقاء على قيد الحياة: anonnerdfrenzy/survival-llm 10:27 - بيغا : Nutlope/bygga 11:02 - كينساكو: yjid/kensaku 11:42 - كينيتوغراف : 0xS4N4TG/kinetograph 12:26 - LinuxRunner: mxhm11cr/LinuxRunner 13:06 - آري: prototux/AARE 13:43 - لايت بوست: brainstormity/LightPost 📈 اشترك للحصول على المزيد من البرامج التعليمية والنصائح ورؤى الصناعة حول الذكاء الاصطناعي. 0.99999 0.01 ...1 0.01111111 0.01111111 0.01111111 0.01111111 0.01111111 0.01111111 0.01111111 0.0111 [bn] ট্রেন্ডিং ওপেন-সোর্স গিটহাব প্রজেক্টস : Ruflo, Strata, Flutter, Kinetograph ও Kensaku #৩০৬ 👉 এআই এজেন্টস স্টুডিও : youtube.com "এই ভিডিওতে এই সপ্তাহের শীর্ষ ট্রেন্ডিং ওপেন-সোর্স গিটহাব প্রজেক্টগুলো তুলে ধরা হয়েছে, যা ডেভেলপারদের প্রোডাক্টিভিটি, লোকাল টুলস, পারফরম্যান্স এবং এআই ওয়ার্কফ্লো উন্নত করার উপর আলোকপাত করে। আপনি ক্লড কোডে মাল্টি-এজেন্ট সোয়ার্ম অর্কেস্ট্রেশনের জন্য রুফলো (Ruflo), কনজিউমার হার্ডওয়্যারে স্থানীয়ভাবে বড় এআই মডেল চালানোর জন্য স্ট্রাটা (Strata), এবং একটি কোডবেস থেকে প্রতিটি স্ক্রিনের জন্য অ্যাপ তৈরির জন্য ফ্লাটার (Flutter) দেখতে পাবেন। এজেন্ট স্কিল, লোকাল ইনফারেন্স সার্ভার এবং সেলফ-হোস্টেড টুলসের পাশাপাশি, এই রাউন্ডআপটি ডেভেলপারদের এই সপ্তাহে চেষ্টা করার মতো নতুন টুলগুলোর একটি দ্রুত ও বাস্তবসম্মত ধারণা দেয়।" 👍 এআই অগ্রগতির আরও আপডেটের জন্য লাইক, শেয়ার এবং সাবস্ক্রাইব করুন। নিচে কমেন্টে আপনার মতামত এবং 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 ০১:০২ - ওপেনবট : CopilotKit/OpenBot ০১:৩৬ - লেভার : github/lever ০২:৩১ - ট্রেডিংএজেন্টস : TauricResearch/TradingAgents ০৩:১১ - রুফলো : ruvnet/ruflo ০৩:৫০ - টেক্সট-টু-ক্যাড : earthtojake/text-to-cad ০৪:৩০ - ফ্লাটার : flutter/flutter ০৫:০৫ - অ্যান্ড্রয়েড স্কিলস : android/skills ০৫:৪৪ - ফ্রীলম্যাপি : tashfeenahmed/freellmapi ০৬:২৬ - স্ট্রাটা : Niko1221/Strata ০৭:০৭ - স্পার্ক-লোকাল-ইনফারেন্স : NVIDIA/spark-local-inference ০৭:৫২ - ওপেনডুয়েট : CopilotKit/OpenDuet ০৮:২৮ - ক্যালেন্ডার-অ্যাপ-ডিজাইন : kargulstudio/calender-app-design ০৯:১১ - মিনিসিপিএম-ওসিআর : OpenBMB/MiniCPM-OCR ০৯:৫১ - সারভাইভাল-এলএলএম : anonnerdfrenzy/survival-llm ১০:২৭ - bygga : Nutlope/bygga ১১:০২ - kensaku : yjid/kensaku ১১:৪২ - kinetograph : 0xS4N4TG/kinetograph ১২:২৬ - LinuxRunner : mxhm11cr/LinuxRunner ১৩:০৬ - AARE : prototux/AARE ১৩:৪৩ - LightPost : brainstormity/LightPost 📈 আরও এআই টিউটোরিয়াল, টিপস এবং ইন্ডাস্ট্রির অন্তর্দৃষ্টির জন্য সাবস্ক্রাইব করুন। আপনার প্রযুক্তিপ্রেমী বন্ধুদের সাথে লাইক, কমেন্ট এবং শেয়ার করতে ভুলবেন না! ট্যাগ: ট্রেন্ডিং ওপেন-সোর্স গিটহাব প্রজেক্ট, রুফলো, স্ট্রাটা, ফ্লাটার, কিনেটোগ্রাফ ও কেনসাকু, ওপেন সোর্স, ওপেন সোর্স গিটহাব প্রজেক্ট, ট্রেন্ডিং গিটহাব প্রজেক্ট, ডেভেলপার প্রোডাক্টিভিটি, সিএলআই টুলস, লোকাল টুলস, সেলফ হোস্টেড, ওয়ার্কফ্লো অটোমেশন, এআই প্রজেক্ট, এআই টুলস, এআই এজেন্ট, কোডিং এজেন্ট, এজেন্ট স্কিলস, মাল্টি এজেন্ট, লোকাল ইনফারেন্স, ফ্লাটার, ডার্ট, রাস্ট, পাইথন, টাইপস্ক্রিপ্ট, এমসিপি সার্ভার, ডেভেলপার টুলস, গিটহাব প্রজেক্টস উইকলি, লোকাল ফার্স্ট, অফলাইন এআই হ্যাশট্যাগ: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [de-DE] Angesagte Open-Source-GitHub-Projekte: Ruflo, Strata, Flutter, Kinetograph & Kensaku #306 👉 AI Agents Studio: youtube.com „Dieses Video stellt die angesagtesten Open-Source-Projekte auf GitHub dieser Woche vor. Im Fokus stehen Entwicklerproduktivität, lokale Tools, Performance und die Optimierung von KI-Workflows. Wir zeigen Ruflo für die Orchestrierung von Multi-Agenten-Schwärmen in Claude Code, Strata für die lokale Ausführung großer KI-Modelle auf Consumer-Hardware und Flutter für die Entwicklung von Apps für alle Bildschirmgrößen mit nur einer Codebasis. Neben Agentenfähigkeiten, lokalen Inferenzservern und selbstgehosteten Tools bietet diese Übersicht Entwicklern einen schnellen und praktischen Einblick in neue Tools, die diese Woche einen Versuch wert sind.“ 👍 Liken, teilen und abonnieren Sie unseren Kanal für weitere Updates zu KI-Fortschritten. 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 – Einleitung 01:02 – OpenBot: CopilotKit/OpenBot 01:36 – lever: github/lever 02:31 – TradingAgents: TauricResearch/TradingAgents 03:11 – ruflo: ruvnet/ruflo 03:50 – text-to-cad: earthtojake/text-to-cad 04:30 - Flutter: flutter/flutter 05:05 - Android Skills: android/skills 05:44 - Freellmapi: tashfeenahmed/freellmapi 06:26 - Strata: Niko1221/Strata 07:07 - Spark Local Inference: NVIDIA/spark-local-inference 07:52 - OpenDuet: CopilotKit/OpenDuet 08:28 - Kalender-App-Design: kargulstudio/calender-app-design 09:11 - MiniCPM-OCR: OpenBMB/MiniCPM-OCR 09:51 – Survival-llm: anonnerdfrenzy/survival-llm 10:27 – Bygga: Nutlope/bygga 11:02 – Kensaku: yjid/kensaku 11:42 – Kinetograph: 0xS4N4TG/kinetograph 12:26 – LinuxRunner: mxhm11cr/LinuxRunner 13:06 – AARE: prototux/AARE 13:43 – LightPost: brainstormity/LightPost 📈 Abonnieren Sie weitere KI-Tutorials, Tipps und Brancheneinblicke. Vergiss nicht, zu liken, zu kommentieren und mit deinen technikbegeisterten Freunden zu teilen! Tags: Trendige Open-Source-GitHub-Projekte, Ruflo, Strata, Flutter, Kinetograph & Kensaku, Open Source, Open-Source-GitHub-Projekte, Trendige GitHub-Projekte, Entwicklerproduktivität, CLI-Tools, Lokale Tools, Selbstgehostet, Workflow-Automatisierung, KI-Projekte, KI-Tools, KI-Agenten, Coding-Agenten, Agentenfähigkeiten, Multiagenten, Lokale Inferenz, Flutter, Dart, Rust, Python, TypeScript, MCP-Server, Entwicklertools, GitHub-Projekte der Woche, Lokal zuerst, Offline-KI Hashtags: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [es-US] Proyectos de código abierto en tendencia en GitHub: Ruflo, Strata, Flutter, Kinetograph y Kensaku... 👉 AI Agents Studio: youtube.com "Este video presenta los proyectos de código abierto más populares de GitHub esta semana, enfocados en la productividad del desarrollador, herramientas locales, rendimiento y la mejora del flujo de trabajo de IA. Verás Ruflo para la orquestación de enjambres multiagente en Claude Code, Strata para ejecutar grandes modelos de IA localmente en hardware de consumo y Flutter para crear aplicaciones para todas las pantallas desde un único código base. Junto con las habilidades de los agentes, los servidores de inferencia locales y las herramientas autoalojadas, este resumen ofrece a los desarrolladores una visión rápida y práctica de las nuevas herramientas que vale la pena probar esta semana." 👍 Dale me gusta, comparte y suscríbete para recibir más actualizaciones sobre los avances en IA. ¡Deja tus comentarios y preguntas abajo! 📌 Recibe actualizaciones gratuitas de proyectos 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 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - Lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - Ruflo: ruvnet/ruflo 03:50 - Conversión de texto a CAD: earthtojake/text-to-cad 04:30 - Flutter: flutter/flutter 05:05 - Habilidades de Android: android/skills 05:44 - Freellmapi: tashfeenahmed/freellmapi 06:26 - Strata: Niko1221/Strata 07:07 - Spark Local Inference: NVIDIA/spark-local-inference 07:52 - OpenDuet: CopilotKit/OpenDuet 08:28 - Diseño de aplicación de calendario: kargulstudio/calender-app-design 09:11 - MiniCPM-OCR: OpenBMB/MiniCPM-OCR 09:51 - supervivencia-llm: anonnerdfrenzy/survival-llm 10:27 - bygga: Nutlope/bygga 11:02 - kensaku: yjid/kensaku 11:42 - kinetógrafo: 0xS4N4TG/kinetograph 12:26 - LinuxRunner: mxhm11cr/LinuxRunner 13:06 - AARE: prototux/AARE 13:43 - Poste de luz: brainstormity/LightPost 📈 Suscríbase para obtener más tutoriales, consejos y conocimientos de la industria sobre IA. ¡No olvides darle me gusta, comentar y compartir con tus amigos expertos en tecnología! Etiquetas: Proyectos de código abierto en GitHub en tendencia, Ruflo, Strata, Flutter, Kinetograph y Kensaku, código abierto, proyectos de código abierto en GitHub, proyectos en tendencia en GitHub, productividad del desarrollador, herramientas CLI, herramientas locales, autoalojado, automatización de flujos de trabajo, proyectos de IA, herramientas de IA, agentes de IA, agentes de codificación, habilidades de agentes, multiagente, inferencia local, Flutter, Dart, Rust, Python, TypeScript, servidor MCP, herramientas para desarrolladores, proyectos semanales de GitHub, prioriza lo local, IA sin conexión Hashtags: #códigoabierto #proyectosdegithub #desarrollador #programación #agentesdeIA #herramientasdeIA #CLI #autoalojado #herramientasdedesarrollo #Flutter #flujodetrabajo #automatización #codificación #priorizalolocal #IAlocal [fr-FR] Projets open-source GitHub tendance : Ruflo, Strata, Flutter, Kinetograph & Kensaku #306 👉 AI Agents Studio : youtube.com Cette vidéo présente les projets open source GitHub les plus populaires de la semaine, axés sur la productivité des développeurs, les outils locaux, les performances et l'amélioration des flux de travail en IA. Vous découvrirez Ruflo pour l'orchestration d'essaims multi-agents dans Claude Code, Strata pour exécuter localement de grands modèles d'IA sur du matériel grand public et Flutter pour créer des applications pour tous les écrans à partir d'une seule base de code. Avec des informations sur les compétences des agents, les serveurs d'inférence locaux et les outils auto-hébergés, ce tour d'horizon offre aux développeurs un aperçu rapide et pratique des nouveaux outils à tester cette semaine. 👍 Aimez, partagez et abonnez-vous pour plus d'actualités sur les avancées en 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 01:02 - OpenBot : CopilotKit/OpenBot 01:36 - Lever : github/lever 02:31 - TradingAgents : TauricResearch/TradingAgents 03:11 - Ruflo : ruvnet/ruflo 03:50 - Text-to-CAD : earthtojake/text-to-cad 04:30 - Flutter : flutter/flutter 05:05 - Compétences Android : android/skills 05:44 - Freellmapi : tashfeenahmed/freellmapi 06:26 - Strata : Niko1221/Strata 07:07 - Spark Local Inference : NVIDIA/spark-local-inference 07:52 - OpenDuet : CopilotKit/OpenDuet 08:28 - Conception d'application calendrier : kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - survival-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - kensaku : yjid/kensaku 11:42 - kinetograph : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - LightPost : brainstormity/LightPost 📈 Abonnez-vous pour plus de tutoriels, astuces et analyses sur l'IA. N'oubliez pas de liker, commenter et partager avec vos amis férus de technologie ! Mots-clés : Projets GitHub open source populaires, Ruflo, Strata, Flutter, Kinetograph et Kensaku, open source, projets GitHub open source, projets GitHub populaires, productivité des développeurs, outils CLI, outils locaux, auto-hébergement, automatisation des flux de travail, projets d'IA, outils d'IA, agents d'IA, programmation d'agents, compétences des agents, multi-agents, inférence locale, Flutter, Dart, Rust, Python, TypeScript, serveur MCP, outils de développement, projets GitHub de la semaine, approche locale, IA hors ligne Hashtags : #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [hi] ट्रेंडिंग ओपन-सोर्स GitHub प्रोजेक्ट्स: Ruflo, Strata, Flutter, Kinetograph और Kensaku #306 👉 AI एजेंट्स स्टूडियो: youtube.com "यह वीडियो इस सप्ताह के शीर्ष ट्रेंडिंग ओपन-सोर्स GitHub प्रोजेक्ट्स को कवर करता है, जो डेवलपर उत्पादकता, स्थानीय टूल्स, परफॉर्मेंस और AI वर्कफ़्लो सुधार पर केंद्रित हैं। आप क्लाउड कोड में मल्टी-एजेंट स्वार्म ऑर्केस्ट्रेशन के लिए Ruflo, उपभोक्ता हार्डवेयर पर स्थानीय रूप से बड़े AI मॉडल चलाने के लिए Strata और एक ही कोडबेस से हर स्क्रीन के लिए ऐप्स बनाने के लिए Flutter देखेंगे। एजेंट स्किल्स, लोकल इन्फरेंस सर्वर और सेल्फ-होस्टेड टूल्स के साथ, यह राउंडअप डेवलपर्स को इस सप्ताह आजमाने लायक नए टूल्स का त्वरित और व्यावहारिक अवलोकन प्रदान करता है।" 👍 AI 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 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - ruflo: ruvnet/ruflo 03:50 - टेक्स्ट-टू-कैड: earthtojake/text-to-cad 04:30 - फ्लटर: flutter/flutter 05:05 - एंड्रॉइड स्किल्स: android/skills 05:44 - फ्रीएलएलएमएपीआई: tashfeenahmed/freellmapi 06:26 - स्ट्रेटा: Niko1221/Strata 07:07 - स्पार्क-लोकल-इन्फ्रेंस: NVIDIA/spark-local-inference 07:52 - ओपनड्यूएट: CopilotKit/OpenDuet 08:28 - कैलेंडर-ऐप-डिज़ाइन: kargilstudio/calender-app-design 09:11 - मिनीसीपीएम-ओसीआर: OpenBMB/MiniCPM-OCR 09:51 - उत्तरजीविता-एलएलएम: anonnerdfrenzy/survival-llm 10:27 - बायग्गा: Nutlope/bygga 11:02 - केन्साकु : yjid/kensaku 11:42 - काइनेटोग्राफ : 0xS4N4TG/kinetograph 12:26 - लिनक्स रनर : mxhm11cr/LinuxRunner 13:06 - आरे : prototux/AARE 13:43 - LightPost : brainstormity/LightPost 📈 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: ट्रेंडिंग ओपन-सोर्स GitHub प्रोजेक्ट्स, Ruflo, Strata, Flutter, Kinetograph और Kensaku, ओपन सोर्स, ओपन सोर्स GitHub प्रोजेक्ट्स, ट्रेंडिंग GitHub प्रोजेक्ट्स, डेवलपर उत्पादकता, CLI टूल्स, लोकल टूल्स, सेल्फ होस्टेड, वर्कफ़्लो ऑटोमेशन, AI प्रोजेक्ट्स, AI टूल्स, AI एजेंट्स, कोडिंग एजेंट्स, एजेंट स्किल्स, मल्टी एजेंट, लोकल इन्फरेंस, Flutter, Dart, Rust, Python, TypeScript, MCP सर्वर, डेवलपर टूल्स, GitHub प्रोजेक्ट्स वीकली, लोकल फर्स्ट, ऑफलाइन AI हैशटैग: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [id] Proyek Open-Source GitHub Trending: Ruflo, Strata, Flutter, Kinetograph & Kensaku #306 👉 AI Agents Studio : youtube.com "Video ini membahas proyek-proyek open-source GitHub terpopuler minggu ini, yang berfokus pada produktivitas pengembang, alat lokal, kinerja, dan peningkatan alur kerja AI. Anda akan melihat Ruflo untuk orkestrasi swarm multi-agen di Claude Code, Strata untuk menjalankan model AI besar secara lokal pada perangkat keras konsumen, dan Flutter untuk membangun aplikasi untuk setiap layar dari satu basis kode. Bersama dengan keterampilan agen, server inferensi lokal, dan alat yang dihosting sendiri, rangkuman ini memberi pengembang pandangan praktis dan cepat tentang alat-alat baru yang layak dicoba minggu ini." 👍 Sukai, bagikan, dan berlangganan untuk mendapatkan lebih banyak pembaruan 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 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - ruflo: ruvnet/ruflo 03:50 - text-to-cad: earthtojake/text-to-cad 04:30 - flutter : flutter/flutter 05:05 - Android skills : android/skills 05:44 - freellmapi : tashfeenahmed/freellmapi 06:26 - Strata : Niko1221/Strata 07:07 - spark-local-inference : NVIDIA/spark-local-inference 07:52 - OpenDuet : CopilotKit/OpenDuet 08:28 - calender-app-design : kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - survival-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - kensaku : yjid/kensaku 11:42 - kinetograph : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - LightPost : brainstormity/LightPost 📈 Berlangganan untuk tutorial AI, kiat, dan wawasan industri lainnya. Jangan lupa untuk menyukai, berkomentar, dan berbagi dengan teman-teman Anda yang paham teknologi! Tag: Proyek GitHub Open-Source yang Sedang Tren, Ruflo, Strata, Flutter, Kinetograph & Kensaku, open source, proyek github open source, proyek github yang sedang tren, produktivitas pengembang, alat CLI, alat lokal, dihosting sendiri, otomatisasi alur kerja, proyek AI, alat AI, agen AI, agen pengkodean, keterampilan agen, multi agen, inferensi lokal, flutter, dart, rust, python, typescript, server mcp, alat pengembang, proyek github mingguan, lokal pertama, AI offline Tagar: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [it] Progetti GitHub open-source di tendenza: Ruflo, Strata, Flutter, Kinetograph e Kensaku #306 👉 AI Agents Studio: youtube.com "Questo video presenta i progetti open source più popolari su GitHub questa settimana, focalizzati sulla produttività degli sviluppatori, sugli strumenti locali, sulle prestazioni e sul miglioramento del flusso di lavoro dell'IA. Vedrete Ruflo per l'orchestrazione di sciami multi-agente in Claude Code, Strata per l'esecuzione di modelli di IA complessi in locale su hardware consumer e Flutter per la creazione di app per ogni schermo da un'unica codebase. Insieme alle competenze degli agenti, ai server di inferenza locali e agli strumenti self-hosted, questa panoramica offre agli sviluppatori uno sguardo rapido e pratico ai nuovi strumenti che vale la pena provare questa settimana." 👍 Metti mi piace, condividi e iscriviti per ulteriori aggiornamenti sui progressi dell'IA. Lascia i tuoi pensieri e le tue domande nei commenti qui sotto! 📌 Ricevi aggiornamenti GRATUITI sui progetti di IA: manuagi.beehiiv.com 📌 Strumenti IA importanti (link affiliato) 🔗 AI Voice - try.elevenlabs.io 🔗 Prova Dzine AI GRATIS: dzine.ai 📌 Indice dei contenuti: 00:00 - Introduzione 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - Lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - Ruflo: ruvnet/ruflo 03:50 - text-to-cad: earthtojake/text-to-cad 04:30 - Flutter: flutter/flutter 05:05 - Competenze Android: android/skills 05:44 - FreellMapi: tashfeenahmed/freellmapi 06:26 - Strata: Niko1221/Strata 07:07 - Spark Local Inference: NVIDIA/spark-local-inference 07:52 - OpenDuet: CopilotKit/OpenDuet 08:28 - Calender App Design: kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - survival-llm: anonnerdfrenzy/survival-llm 10:27 - bygga: Nutlope/bygga 11:02 - kensaku: yjid/kensaku 11:42 - cinetografo: 0xS4N4TG/cinetografo 12:26 - LinuxRunner: mxhm11cr/LinuxRunner 13:06 - AARE: prototux/AARE 13:43 - LightPost: brainstormity/LightPost 📈 Iscriviti per ricevere ulteriori tutorial, suggerimenti e approfondimenti sul settore sull'intelligenza artificiale. Non dimenticate di mettere "Mi piace", commentare e condividere con i vostri amici esperti di tecnologia! Tag: Progetti open source di tendenza su GitHub, Ruflo, Strata, Flutter, Kinetograph e Kensaku, open source, progetti open source su GitHub, progetti di tendenza su GitHub, produttività degli sviluppatori, strumenti CLI, strumenti locali, self-hosted, automazione del flusso di lavoro, progetti AI, strumenti AI, agenti AI, agenti di programmazione, competenze degli agenti, multi-agente, inferenza locale, Flutter, Dart, Rust, Python, TypeScript, server MCP, strumenti per sviluppatori, progetti GitHub settimanali, local first, AI offline Hashtag: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [iw] פרויקטי קוד פתוח מובילים ב-GitHub: Ruflo, Strata, Flutter, Kinetograph ו-Kensaku #306 👉 AI Agents Studio : youtube.com "סרטון זה מכסה את הפרויקטים המובילים בקוד פתוח ב-GitHub השבוע, תוך התמקדות בפריון מפתחים, כלים מקומיים, ביצועים ושיפור זרימת עבודה של בינה מלאכותית. תראו את Ruflo לתזמור נחיל מרובי סוכנים ב-Claude Code, Strata להפעלת מודלים גדולים של בינה מלאכותית באופן מקומי על חומרה צרכנית, ו-Flutter לבניית אפליקציות לכל מסך מבסיס קוד אחד. יחד עם כישורי סוכן, שרתי הסקה מקומיים וכלים המאוחסנים בעצמם, סיכום זה נותן למפתחים מבט מהיר ומעשי על כלים חדשים שכדאי לנסות השבוע." 👍 עשו לייק, שתפו והירשמו לעדכונים נוספים על התקדמות בבינה מלאכותית. שתפו את מחשבותיכם ושאלותיכם בתגובות למטה! 📌 קבלו עדכונים בחינם על פרויקטים של בינה מלאכותית: manuagi.beehiiv.com 📌 כלי בינה מלאכותית חשובים (שותפים) 🔗 קול בינה מלאכותית - try.elevenlabs.io 🔗 נסו את Dzine AI בחינם: dzine.ai 📌 חותמות זמן: 00:00 - חלק מבוא 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - ruflo: ruvnet/ruflo 03:50 - text-to-cad: earthtojake/text-to-cad 04:30 - flutter : flutter/flutter 05:05 - מיומנויות אנדרואיד : android/skills 05:44 - freellmapi : tashfeenahmed/freellmapi 06:26 - Strata : Niko1221/Strata 07:07 - spark-local-inference : NVIDIA/spark-local-inference 07:52 - OpenDuet : CopilotKit/OpenDuet 08:28 - calender-app-design : kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - survival-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - kensaku : yjid/kensaku 11:42 - kinetograph : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - LightPost : brainstormity/LightPost 📈 הירשמו לקבלת מדריכים, טיפים ותובנות נוספות על בינה מלאכותית. אל תשכחו לעשות לייק, להגיב ולשתף עם חבריכם המנוסים בטכנולוגיה! תגיות: פרויקטים פופולריים בקוד פתוח של GitHub, Ruflo, Strata, Flutter, Kinetograph & Kensaku, קוד פתוח, פרויקטים פופולריים בקוד פתוח של GitHub, פרויקטים פופולריים ב-GitHub, פרודוקטיביות של מפתחים, כלי cli, כלים מקומיים, אירוח עצמי, אוטומציה של זרימת עבודה, פרויקטים של בינה מלאכותית, כלי בינה מלאכותית, סוכני בינה מלאכותית, סוכני קידוד, כישורי סוכן, סוכן מרובה, הסקה מקומית, flutter, dart, rust, python, typescript, שרת mcp, כלי מפתחים, פרויקטים שבועיים של GitHub, תחילה מקומי, בינה מלאכותית לא מקוונת האשטגים: #קוד פתוח #פרויקטים שלGitHub #מפתח #תכנות #סוכניAi #כליAI #cli #אירוח עצמי #כליפיתוח #flutter #זרימת עבודה #אוטומציה #קידוד #תחילהמקומי #מקומי [ja] 注目のオープンソースGitHubプロジェクト：Ruflo、Strata、Flutter、Kinetograph、Kensaku #306 👉 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取り上げ、開発者の生産性向上、ローカルツール、パフォーマンス、AIワークフローの改善に焦点を当てています。Claude Codeでマルチエージェント群オーケストレーションを行うRuflo、コンシューマー向けハードウェア上で大規模なAIモデルをローカルで実行するStrata、そして単一のコードベースからあらゆる画面に対応したアプリを構築できるFlutterをご紹介します。エージェントスキル、ローカル推論サーバー、セルフホスト型ツールに加え、このまとめ動画では、今週試してみる価値のある新しいツールを開発者の皆様に分かりやすくご紹介します。」 👍 AIの進歩に関する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） 🔗 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 01:02 - OpenBot：CopilotKit/OpenBot 01:36 - lever：github/lever 02:31 - TradingAgents：TauricResearch/TradingAgents 03:11 - ruflo：ruvnet/ruflo 03:50 - text-to-cad : earthtojake/text-to-cad 04:30 - flutter : flutter/flutter 05:05 - Android skills : android/skills 05:44 - freellmapi : tashfeenahmed/freellmapi 06:26 - Strata : Niko1221/Strata 07:07 - spark-local-inference : NVIDIA/spark-local-inference 07:52 - OpenDuet : CopilotKit/OpenDuet 08:28 - calendar-app-design : kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - サバイバル-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - けんさく : yjid/kensaku 11:42 - キネトグラフ : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - ライトポスト: brainstormity/LightPost 📈 購読して、AI チュートリアル、ヒント、業界の洞察をさらに入手してください。ぜひ「いいね！」やコメント、そしてテクノロジーに詳しいお友達とのシェアをお願いします！ タグ： トレンドのオープンソースGitHubプロジェクト、Ruflo、Strata、Flutter、Kinetograph & Kensaku、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、開発者の生産性、CLIツール、ローカルツール、セルフホスティング、ワークフロー自動化、AIプロジェクト、AIツール、AIエージェント、コーディングエージェント、エージェントスキル、マルチエージェント、ローカル推論、Flutter、Dart、Rust、Python、TypeScript、MCPサーバー、開発者ツール、GitHubプロジェクトウィークリー、ローカルファースト、オフラインAI ハッシュタグ： #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [ko] 주목받는 오픈소스 GitHub 프로젝트: Ruflo, Strata, Flutter, Kinetograph & Kensaku #306 👉 AI 에이전트 스튜디오 : youtube.com "이 영상에서는 개발자 생산성, 로컬 도구, 성능 및 AI 워크플로 개선에 초점을 맞춰 이번 주 가장 인기 있는 오픈 소스 GitHub 프로젝트를 소개합니다. Claude Code에서 다중 에이전트 스웜 오케스트레이션을 위한 Ruflo, 소비자 하드웨어에서 대규모 AI 모델을 로컬로 실행하는 Strata, 그리고 하나의 코드베이스로 모든 화면에 맞는 앱을 구축할 수 있는 Flutter를 만나볼 수 있습니다. 에이전트 스킬, 로컬 추론 서버, 자체 호스팅 도구와 함께, 이번 영상은 개발자들이 이번 주에 사용해 볼 만한 새롭고 실용적인 도구들을 간략하게 살펴볼 수 있도록 도와줍니다." 👍 좋아요, 공유, 구독을 눌러 AI 발전에 대한 더 많은 업데이트를 받아보세요. 의견이나 질문은 아래 댓글에 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 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - ruflo: ruvnet/ruflo 03:50 - text-to-cad: earthtojake/text-to-cad 04:30 - Flutter : flutter/flutter 05:05 - Android 스킬 : android/skills 05:44 - Freellmapi : tashfeenahmed/freellmapi 06:26 - Strata : Niko1221/Strata 07:07 - Spark Local-Inference : NVIDIA/spark-local-inference 07:52 - OpenDuet : CopilotKit/OpenDuet 08:28 - 캘린더 앱 디자인 : kargulstudio/calender-app-design 09:11 - MiniCPM-OCR : OpenBMB/MiniCPM-OCR 09:51 - 생존-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - 켄사쿠 : yjid/kensaku 11:42 - 키네토그래프 : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - 라이트포스트 : brainstormity/LightPost 📈 더 많은 AI 튜토리얼, 팁, 업계 통찰력을 구독하세요. 좋아요, 댓글, 그리고 기술에 정통한 친구들과 공유하는 것도 잊지 마세요! 태그: 인기 오픈소스 GitHub 프로젝트, Ruflo, Strata, Flutter, Kinetograph & Kensaku, 오픈소스, 오픈소스 GitHub 프로젝트, 인기 GitHub 프로젝트, 개발자 생산성, CLI 도구, 로컬 도구, 자체 호스팅, 워크플로 자동화, AI 프로젝트, AI 도구, AI 에이전트, 코딩 에이전트, 에이전트 스킬, 멀티 에이전트, 로컬 추론, Flutter, Dart, Rust, Python, TypeScript, MCP 서버, 개발자 도구, GitHub 프로젝트 주간 업데이트, 로컬 우선, 오프라인 AI 해시태그: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [ml] ട്രെൻഡിംഗ് ഓപ്പൺ-സോഴ്സ് ഗിറ്റ്‌ഹബ് പ്രോജക്റ്റുകൾ : Ruflo, Strata, Flutter, Kinetograph & Kensaku ... 👉 AI ഏജന്റ്സ് സ്റ്റുഡിയോ : youtube.com "ഡെവലപ്പർ ഉൽപ്പാദനക്ഷമത, പ്രാദേശിക ഉപകരണങ്ങൾ, പ്രകടനം, AI വർക്ക്ഫ്ലോ മെച്ചപ്പെടുത്തൽ എന്നിവയിൽ ശ്രദ്ധ കേന്ദ്രീകരിച്ചുള്ള ഈ ആഴ്ചയിലെ ഏറ്റവും മികച്ച ട്രെൻഡിംഗ് ഓപ്പൺ സോഴ്‌സ് GitHub പ്രോജക്റ്റുകൾ ഈ വീഡിയോ ഉൾക്കൊള്ളുന്നു. ക്ലോഡ് കോഡിൽ മൾട്ടി-ഏജന്റ് സ്വാം ഓർക്കസ്ട്രേഷനായി റൂഫ്ലോ, ഉപഭോക്തൃ ഹാർഡ്‌വെയറിൽ പ്രാദേശികമായി വലിയ AI മോഡലുകൾ പ്രവർത്തിപ്പിക്കുന്നതിനുള്ള സ്ട്രാറ്റ, ഒരു കോഡ്‌ബേസിൽ നിന്ന് ഓരോ സ്‌ക്രീനിനും ആപ്പുകൾ നിർമ്മിക്കുന്നതിനുള്ള ഫ്ലട്ടർ എന്നിവ നിങ്ങൾ കാണും. ഏജന്റ് കഴിവുകൾ, പ്രാദേശിക അനുമാന സെർവറുകൾ, സ്വയം ഹോസ്റ്റുചെയ്‌ത ഉപകരണങ്ങൾ എന്നിവയ്‌ക്കൊപ്പം, ഈ റൗണ്ടപ്പ് ഡെവലപ്പർമാർക്ക് ഈ ആഴ്ച പരീക്ഷിക്കേണ്ട പുതിയ ഉപകരണങ്ങളെക്കുറിച്ച് ഒരു ദ്രുതവും പ്രായോഗികവുമായ കാഴ്ചപ്പാട് നൽകുന്നു." 👍 AI പുരോഗതികളെക്കുറിച്ചുള്ള കൂടുതൽ അപ്‌ഡേറ്റുകൾക്കായി ലൈക്ക് ചെയ്യുക, പങ്കിടുക, സബ്‌സ്‌ക്രൈബുചെയ്യുക. താഴെയുള്ള അഭിപ്രായങ്ങളിൽ നിങ്ങളുടെ ചിന്തകളും ചോദ്യങ്ങളും ഇടുക! 📌 സൗജന്യ AI പ്രോജക്റ്റ് അപ്‌ഡേറ്റുകൾ നേടുക : manuagi.beehiiv.com 📌 പ്രധാനപ്പെട്ട AI ടൂളുകൾ (അഫിലിയേറ്റ്) 🔗 AI വോയ്‌സ് - try.elevenlabs.io 🔗Dzine AI സൗജന്യമായി പരീക്ഷിക്കുക : dzine.ai 📌 ടൈംസ്റ്റാമ്പുകൾ : 00:00 - ആമുഖ ഭാഗം 01:02 - OpenBot : CopilotKit/OpenBot 01:36 - ലിവർ : github/lever 02:31 - ട്രേഡിംഗ് ഏജന്റുകൾ : TauricResearch/TradingAgents 03:11 - ruflo : ruvnet/ruflo 03:50 - ടെക്സ്റ്റ്-ടു-കാഡ് : earthtojake/text-to-cad 04:30 - ഫ്ലട്ടർ : flutter/flutter 05:05 - ആൻഡ്രോയിഡ് കഴിവുകൾ : android/skills 05:44 - freellmapi : tashfeenahmed/freellmapi 06:26 - സ്ട്രാറ്റ : Niko1221/Strata 07:07 - സ്പാർക്ക്-ലോക്കൽ-ഇൻഫറൻസ് : NVIDIA/spark-local-inference 07:52 - ഓപ്പൺഡ്യൂറ്റ് : CopilotKit/OpenDuet 08:28 - കലണ്ടർ-ആപ്പ്-ഡിസൈൻ : kargulstudio/calender-app-design 09:11 - മിനിസിപിഎം-ഒസിആർ : OpenBMB/MiniCPM-OCR 09:51 - survival-llm : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - കെൻസകു : yjid/kensaku 11:42 - കൈനെറ്റോഗ്രാഫ് : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - ലൈറ്റ്‌പോസ്റ്റ് : brainstormity/LightPost 📈 കൂടുതൽ AI ട്യൂട്ടോറിയലുകൾക്കും നുറുങ്ങുകൾക്കും വ്യവസായ സ്ഥിതിവിവരക്കണക്കുകൾക്കും സബ്‌സ്‌ക്രൈബ് ചെയ്യുക. ടെക് പരിജ്ഞാനമുള്ള നിങ്ങളുടെ സുഹൃത്തുക്കളുമായി ലൈക്ക് ചെയ്യാനും കമന്റ് ചെയ്യാനും പങ്കിടാനും മറക്കരുത്! ടാഗുകൾ: ട്രെൻഡിംഗ് ഓപ്പൺ-സോഴ്‌സ് ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, റൂഫ്ലോ, സ്ട്രാറ്റ, ഫ്ലട്ടർ, കൈനെറ്റോഗ്രാഫ് & കെൻസാകു, ഓപ്പൺ സോഴ്‌സ്, ഓപ്പൺ സോഴ്‌സ് ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ട്രെൻഡിംഗ് ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ഡെവലപ്പർ ഉൽപ്പാദനക്ഷമത, CLI ടൂളുകൾ, ലോക്കൽ ടൂളുകൾ, സെൽഫ് ഹോസ്റ്റഡ്, വർക്ക്ഫ്ലോ ഓട്ടോമേഷൻ, AI പ്രോജക്ടുകൾ, AI ടൂളുകൾ, AI ഏജന്റുകൾ, കോഡിംഗ് ഏജന്റുകൾ, ഏജന്റ് കഴിവുകൾ, മൾട്ടി ഏജന്റ്, ലോക്കൽ ഇൻഫെരൻസ്, ഫ്ലട്ടർ, ഡാർട്ട്, റസ്റ്റ്, പൈത്തൺ, ടൈപ്പ്സ്ക്രിപ്റ്റ്, എംസിപി സെർവർ, ഡെവലപ്പർ ടൂളുകൾ, വീക്കിലി ഗിറ്റ്ഹബ് പ്രോജക്റ്റുകൾ, ലോക്കൽ ഫസ്റ്റ്, ഓഫ്‌ലൈൻ AI ഹാഷ്‌ടാഗുകൾ: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [nl-NL] Trending open-source GitHub-projecten: Ruflo, Strata, Flutter, Kinetograph & Kensaku #306 👉 AI Agents Studio: youtube.com "Deze video behandelt de meest trending open-source GitHub-projecten van deze week, gericht op productiviteit voor ontwikkelaars, lokale tools, prestaties en verbetering van AI-workflows. Je ziet Ruflo voor multi-agent swarm-orkestratie in Claude Code, Strata voor het lokaal uitvoeren van grote AI-modellen op consumentenhardware en Flutter voor het bouwen van apps voor elk scherm vanuit één codebase. Samen met agentvaardigheden, lokale inferentieservers en zelfgehoste tools biedt deze roundup ontwikkelaars een snel en praktisch overzicht van nieuwe tools die deze week de moeite waard zijn om uit te proberen." 👍 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 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - Lever: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - Ruflo: ruvnet/ruflo 03:50 - Text-to-CAD: earthtojake/text-to-cad 04:30 - Flutter: flutter/flutter 05:05 - Android skills: android/skills 05:44 - Freellmapi: tashfeenahmed/freellmapi 06:26 - Strata: Niko1221/Strata 07:07 - Spark-local-inference: NVIDIA/spark-local-inference 07:52 - OpenDuet: CopilotKit/OpenDuet 08:28 - Calender-app-design: kargulstudio/calender-app-design 09:11 - MiniCPM-OCR: OpenBMB/MiniCPM-OCR 09:51 - survival-llm: anonnerdfrenzy/survival-llm 10:27 - bygga: Nutlope/bygga 11:02 - kensaku: yjid/kensaku 11:42 - kinetograaf: 0xS4N4TG/kinetograaf 12:26 - LinuxRunner: mxhm11cr/LinuxRunner 13:06 - AARE: prototux/AARE 13:43 - LightPost: brainstormity/LightPost 📈 Schrijf u in voor meer AI-tutorials, tips en branche-inzichten. Vergeet niet te liken, te reageren en te delen met je technisch onderlegde vrienden! Tags: Trending Open-Source GitHub Projects, Ruflo, Strata, Flutter, Kinetograph & Kensaku, open source, open source github projects, trending github projects, developer productivity, cli tools, local tools, self hosted, workflow automation, ai projects, ai tools, ai agents, coding agents, agent skills, multi agent, local inference, flutter, dart, rust, python, typescript, mcp server, developer tools, github projects weekly, local first, offline ai Hashtags: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automation #coding #localfirst #localai [pa] Trending Open-Source GitHub Projects: Ruflo, Strata, Flutter, Kinetograph ਅਤੇ Kensaku #306 👉 AI ਏਜੰਟ ਸਟੂਡੀਓ : youtube.com "ਇਹ ਵੀਡੀਓ ਇਸ ਹਫ਼ਤੇ ਪ੍ਰਮੁੱਖ ਟ੍ਰੈਂਡਿੰਗ ਓਪਨ-ਸੋਰਸ GitHub ਪ੍ਰੋਜੈਕਟਾਂ ਨੂੰ ਕਵਰ ਕਰਦਾ ਹੈ, ਜੋ ਡਿਵੈਲਪਰ ਉਤਪਾਦਕਤਾ, ਸਥਾਨਕ ਟੂਲਸ, ਪ੍ਰਦਰਸ਼ਨ, ਅਤੇ AI ਵਰਕਫਲੋ ਸੁਧਾਰ 'ਤੇ ਕੇਂਦ੍ਰਿਤ ਹੈ। ਤੁਸੀਂ ਕਲੌਡ ਕੋਡ ਵਿੱਚ ਮਲਟੀ-ਏਜੰਟ ਸਵੈਰਮ ਆਰਕੈਸਟ੍ਰੇਸ਼ਨ ਲਈ Ruflo, ਖਪਤਕਾਰ ਹਾਰਡਵੇਅਰ 'ਤੇ ਸਥਾਨਕ ਤੌਰ 'ਤੇ ਵੱਡੇ AI ਮਾਡਲਾਂ ਨੂੰ ਚਲਾਉਣ ਲਈ Strata, ਅਤੇ ਇੱਕ ਕੋਡਬੇਸ ਤੋਂ ਹਰੇਕ ਸਕ੍ਰੀਨ ਲਈ ਐਪਸ ਬਣਾਉਣ ਲਈ Flutter ਦੇਖੋਗੇ। ਏਜੰਟ ਹੁਨਰ, ਸਥਾਨਕ ਇਨਫਰੈਂਸ ਸਰਵਰ, ਅਤੇ ਸਵੈ-ਹੋਸਟਡ ਟੂਲਸ ਦੇ ਨਾਲ, ਇਹ ਰਾਊਂਡਅੱਪ ਡਿਵੈਲਪਰਾਂ ਨੂੰ ਇਸ ਹਫ਼ਤੇ ਕੋਸ਼ਿਸ਼ ਕਰਨ ਯੋਗ ਨਵੇਂ ਟੂਲਸ 'ਤੇ ਇੱਕ ਤੇਜ਼, ਵਿਹਾਰਕ ਝਲਕ ਦਿੰਦਾ ਹੈ।" 👍 AI ਤਰੱਕੀਆਂ ਬਾਰੇ ਹੋਰ ਅੱਪਡੇਟ ਲਈ ਪਸੰਦ ਕਰੋ, ਸਾਂਝਾ ਕਰੋ ਅਤੇ ਸਬਸਕ੍ਰਾਈਬ ਕਰੋ। 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 01:02 - ਓਪਨਬੋਟ: CopilotKit/OpenBot 01:36 - ਲੀਵਰ: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - ruflo: ruvnet/ruflo 03:50 - text-to-cad : earthtojake/text-to-cad 04:30 - ਫਲਟਰ : flutter/flutter 05:05 - ਐਂਡਰਾਇਡ ਹੁਨਰ : android/skills 05:44 - freellmapi : tashfeenahmed/freellmapi 06:26 - ਸਟ੍ਰੈਟਾ : Niko1221/Strata 07:07 - spark-local-inference : NVIDIA/spark-local-inference 07:52 - ਓਪਨਡਿਊਟ : CopilotKit/OpenDuet 08:28 - ਕੈਲੇਂਡਰ-ਐਪ-ਡਿਜ਼ਾਈਨ : kargulstudio/calender-app-design 09:11 - ਮਿਨੀਸੀਪੀਐਮ-ਓਸੀਆਰ : OpenBMB/MiniCPM-OCR 09:51 - ਸਰਵਾਈਵਲ-ਐਲਐਲਐਮ : anonnerdfrenzy/survival-llm 10:27 - bygga : Nutlope/bygga 11:02 - kensaku : yjid/kensaku 11:42 - kinetograph : 0xS4N4TG/kinetograph 12:26 - LinuxRunner : mxhm11cr/LinuxRunner 13:06 - AARE : prototux/AARE 13:43 - LightPost : brainstormity/LightPost 📈 ਹੋਰ AI ਟਿਊਟੋਰਿਅਲ, ਸੁਝਾਅ, ਅਤੇ ਉਦਯੋਗ ਸੂਝ ਲਈ ਗਾਹਕ ਬਣੋ। ਆਪਣੇ ਤਕਨੀਕੀ-ਸਮਝਦਾਰ ਦੋਸਤਾਂ ਨਾਲ ਪਸੰਦ, ਟਿੱਪਣੀ ਅਤੇ ਸਾਂਝਾ ਕਰਨਾ ਨਾ ਭੁੱਲੋ! ਟੈਗਸ: ਟ੍ਰੈਂਡਿੰਗ ਓਪਨ-ਸੋਰਸ ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਰੁਫਲੋ, ਸਟ੍ਰੈਟਾ, ਫਲਟਰ, ਕਿਨੇਟੋਗ੍ਰਾਫ ਅਤੇ ਕੇਨਸਾਕੂ, ਓਪਨ ਸੋਰਸ, ਓਪਨ ਸੋਰਸ ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਟ੍ਰੈਂਡਿੰਗ ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ, ਡਿਵੈਲਪਰ ਉਤਪਾਦਕਤਾ, cli ਟੂਲਸ, ਲੋਕਲ ਟੂਲਸ, ਸੈਲਫ ਹੋਸਟਡ, ਵਰਕਫਲੋ ਆਟੋਮੇਸ਼ਨ, ai ਪ੍ਰੋਜੈਕਟਸ, ai ਟੂਲਸ, ai ਏਜੰਟ, ਕੋਡਿੰਗ ਏਜੰਟ, ਏਜੰਟ ਹੁਨਰ, ਮਲਟੀ ਏਜੰਟ, ਲੋਕਲ ਇਨਫਰੈਂਸ, ਫਲਟਰ, ਡਾਰਟ, ਰਸਟ, ਪਾਈਥਨ, ਟਾਈਪਸਕ੍ਰਿਪਟ, mcp ਸਰਵਰ, ਡਿਵੈਲਪਰ ਟੂਲਸ, ਗਿੱਟਹੱਬ ਪ੍ਰੋਜੈਕਟਸ ਹਫਤਾਵਾਰੀ, ਲੋਕਲ ਫਸਟ, ਆਫਲਾਈਨ ai ਹੈਸ਼ਟੈਗਸ: #opensource #githubprojects #developer #programming #aiagents #aitools #cli #selfhosted #devtools #flutter #workflow #automatation #coding #localfirst #localai [pl] Najpopularniejsze projekty Open-Source na GitHubie: Ruflo, Strata, Flutter, Kinetograph i Kensaku... 👉 AI Agents Studio: youtube.com „Ten film omawia najpopularniejsze projekty open source na GitHubie w tym tygodniu, koncentrując się na produktywności programistów, narzędziach lokalnych, wydajności i usprawnianiu przepływu pracy w dziedzinie sztucznej inteligencji. Zobaczysz Ruflo do orkiestracji roju wielu agentów w Claude Code, Strata do lokalnego uruchamiania dużych modeli AI na sprzęcie konsumenckim oraz Flutter do tworzenia aplikacji na każdy ekran z jednej bazy kodu. Oprócz umiejętności obsługi agentów, lokalnych serwerów wnioskowania i narzędzi hostowanych samodzielnie, to podsumowanie daje programistom szybki i praktyczny wgląd w nowe narzędzia, które warto wypróbować w tym tygodniu”. 👍 Polub, udostępnij i zasubskrybuj, aby otrzymywać więcej informacji o postępach w dziedzinie sztucznej inteligencji. Podziel się swoimi przemyśleniami i pytaniami w komentarzach poniżej! 📌 Otrzymuj BEZPŁATNE aktualizacje projektów AI: manuagi.beehiiv.com 📌 Ważne narzędzia AI (program partnerski) 🔗 Głos AI - try.elevenlabs.io 🔗 Wypróbuj Dzine AI ZA DARMO: dzine.ai 📌 Znaczniki czasu: 00:00 - Część wprowadzająca 01:02 - OpenBot: CopilotKit/OpenBot 01:36 - dźwignia: github/lever 02:31 - TradingAgents: TauricResearch/TradingAgents 03:11 - ruflo: ruvnet/ruflo 03:50 - text-to-cad: earthtojake/text-to-cad 04:30 - flutter: flutter/flutter 05:05 - Umiejętności Androida: android/skills 05:44 - freellmapi: tashfeenahmed/freellmapi 06:26 - Strata: Niko1221/Strata 07:07 - spark-local-inference: NVIDIA/spark-local-inference 07:52 - OpenDuet: CopilotKit/OpenDuet 08:28 - projekt aplikacji kalendarza: kargulstudio/calender-app-design 09:11 – MiniCPM-OCR: OpenBMB/MiniCPM-OCR 09:51 – survival-llm: anonnerdfrenzy/survival-llm 10:27 – bygga: Nutlope/bygga 11:02 – kensaku: yjid/kensaku 11:42 – kinetograf: 0xS4N4TG/kinetograph 12:26 – LinuxRunner: mxhm11cr/LinuxRunner 13:06 - AARE: prototux/AARE 13:43 - LightPost: brainstormity/LightPost 📈 Subskrybuj, aby otrzymywać więcej samouczków, wskazówek i informacji branżowych dotyczących sztucznej inteligencji. Nie zapomnij polubić, skomentować i udostępnić znajomym, którzy interesują się technologią! Tagi: Popularne projekty open source na GitHubie, Ruflo, Strata, Flutter, Kinetograph i Kensaku, open source, projekty open source na GitHubie, popularne projekty na GitHubie, produktywność programistów, narzędzia CLI, narzędzia lokalne, hosting własny, automatyzacja przepływu pracy, projekty AI, narzędzia AI, agenci AI, agenci kodowania, umiejętności agentów, wielu agentów, wnios

نماذج كتير بالمجان مع هذا الريبو الرهيب | freellmapi في هذا الفيديو، نتعرف على مستودع (Repository) مميز يتيح لك الوصول إلى نماذج ذكاء اصطناعي متنوعة ومجانية بالكامل عبر freellmapi. نستعرض كيفية استخدامه والاستفادة منه في مشاريعك البرمجية بسهولة ودون أي تكاليف. 📌 أهم النقاط في الفيديو: ما هو freellmapi وكيف يعمل؟ كيفية إعداد المشروع وربط النماذج المجانية. تجربة عملية على استخدام النماذج في مهام مختلفة. 🔗 روابط مهمة: tashfeenahmed/freellmapi لا تنسَ الاشتراك في القناة وتفعيل زر الجرس لمتابعة كل جديد في عالم البرمجة والذكاء الاصطناعي! #ذكاء_اصطناعي #برمجة #freellmapi #LLM #OpenSource 00:00 - مقدمة ومميزات أداة freellmapi 01:05 - تحميل وتثبيت الأداة على ويندوز 01:42 - جولة سريعة داخل واجهة البرنامج 03:00 - إضافة مزود OpenRouter واختيار النماذج 04:29 - إضافة Groq واختيار نموذج Qwen 05:13 - إضافة مفتاح Google AI Studio ونماذج Gemini 06:14 - إضافة مزود NVIDIA Build ونموذج Nemotron 07:58 - تجربة النماذج عبر الـ Playground 09:13 - ربط الأداة وتشغيلها مع Claude Code 11:32 - ملخص وخاتمة [en-US] Get Many Models for Free with This Incredible Repo | freellmapi In this video, we'll explore a unique repository that gives you access to a variety of completely free AI models via Freellmapi. We'll demonstrate how to use it and leverage it in your software projects easily and at no cost. 📌 Key points covered in the video: What is Freellmapi and how does it work? How to set up a project and connect the free models. A practical demonstration of using the models in different tasks. 🔗 Important links: tashfeenahmed/freellmapi Don't forget to subscribe to the channel and turn on notifications to stay up-to-date with everything new in the world of programming and artificial intelligence! #ArtificialIntelligence #Programming #freellmapi #LLM #OpenSource 00:00 - Introduction and Features of the freellmapi Tool 01:05 - Downloading and Installing the Tool on Windows 01:42 - A Quick Look at the Program Interface 03:00 - Adding the OpenRouter Provider and Selecting Models 04:29 - Adding Groq and Selecting the Qwen Model 05:13 - Adding the Google AI Studio Key and Gemini Models 06:14 - Adding the NVIDIA Build Provider and the Nemotron Model 07:58 - Testing Models via Playground 09:13 - Connecting and Running the Tool with Cloud Code 11:32 - Summary and Conclusion

paying for api calls while free tiers sit unused is a choice. freellmapi routes you through 34 free llm providers and 635 free model endpoints — 7.4 billion tokens a month, no key juggling, one api. tashfeenahmed/freellmapi

How Software Engineers Slash Claude AI Bills by -95%: FreeLLMAPI & OmniRoute Setup Software engineering has entered the agentic era. Tools like Cursor IDE, Claude Code CLI, Cline, and Windsurf make writing code 10x faster. But as anyone running autonomous agents knows, token bills add up quickly. A single refactoring loop or bug reproduction can easily burn 300,000+ tokens. At standard Anthropic rates ($3/M input and $15/M output for Claude 3.5 Sonnet), software engineers easily rack up $100 to $300 every month on personal credit cards. Recently, two open-source projects have gained viral traction in the developer community: 1. tashfeenahmed/freellmapi (38.6k stars): Aggregates 34 free provider tiers and pools 635 model endpoints behind a single OpenAI/Anthropic /v1 endpoint, managing 7.4 billion tokens per month. 2. diegosouzapw/OmniRoute (79.1k stars): A high-performance AI gateway that dynamically routes prompts to free high-speed models (Llama 3.3 70B, DeepSeek V3, Qwen 2.5 Coder 32B) and fails over seamlessly in under 15 milliseconds. > 💬 Join our Developer Community: For daily verified free AI API keys, token configs, and automated setup scripts, join our official VIP WhatsApp Developer Community and Telegram Channel. > > 🔗 Full Windows 1-Click batch installer, interactive unlock gate, and step-by-step screenshots are published on OrissaPublishers: FreeLLMAPI & OmniRoute Claude Token Hack. --- 1. The Multi-Provider Routing Architecture Major cloud providers (Cerebras, Groq, Cloudflare Workers AI, GitHub Models, Together AI, HuggingFace) offer generous free developer tiers: - Cerebras: Up to 1M free tokens/day at 1,800 tokens/second. - Groq Cloud: Free high-speed Llama 3.1 & 3.3 inference with zero latency. - GitHub Models / Azure: Free developer tier with GPT-4o-mini and Claude-compatible routing. The bottleneck has always been managing 30+ separate API keys, diverse SDK specifications, and sudden HTTP 429 rate limits. FreeLLMAPI and OmniRoute solve this with a 3-tier proxy: 1. Smart Model Mapping: When your IDE asks for claude-3-5-sonnet, OmniRoute maps it to the best available free reasoning model (e.g., DeepSeek R1/V3 or Qwen 2.5 Coder 32B). 2. Dynamic Failover: If Provider A returns a 429 rate limit or 503 gateway timeout, the proxy retries on Provider B within 15 milliseconds. 3. Zero IDE Interruptions: Your editor never encounters connection crashes. --- 2. Quickstart with Docker Compose You can launch the complete gateway locally in less than 2 minutes: # 1. Clone the repository git clone https://github.com/tashfeenahmed/freellmapi.git cd freellmapi # 2. Setup your environment cp .env.example .env # 3. Spin up the container docker compose up -d The gateway will now be live on http://127.0.0.1:8000/v1. --- 3. Connecting to Cursor IDE & Claude Code CLI A. Cursor IDE 1. Open Cursor Settings > Models. 2. Turn on OpenAI API Key and enter any string (e.g. sk-free-token-2026). 3. Set Override OpenAI Base URL to: http://127.0.0.1:8000/v1 4. Add model names: claude-3-5-sonnet-20241022, deepseek-chat, or qwen-2.5-coder-32b. B. Claude Code CLI In your PowerShell or Bash terminal: # PowerShell $env:ANTHROPIC_BASE_URL="http://127.0.0.1:8000/v1" ; claude # Bash / Zsh export ANTHROPIC_BASE_URL="http://127.0.0.1:8000/v1" claude --- 4. Resources & Community - Official Repositories: - FreeLLMAPI: tashfeenahmed/freellmapi - OmniRoute: diegosouzapw/OmniRoute - VIP WhatsApp Group: Join here for daily API keys - Original Full Tutorial & 1-Click Vault: OrissaPublishers Article