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OpenMed Agent in 15 seconds. Codex. Claude. Hugging Face. Open source. The full stack. Bring your own LLM. The medical layer is built around it. Preview:

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OpenMed

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21,164 просмотров • 2 месяцев назад •via X (Twitter)

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GPT-5.5 + OpenMed Agent planning a 64-step clinical workflow. Watch plans, sub-plans, and tool calls materialize, every step visible, every finalization gated. Medical intelligence on Hugging Face. The loop is the product.
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GPT-5.5 + OpenMed Agent planning a 64-step clinical workflow. Watch plans, sub-plans, and tool calls materialize, every step visible, every finalization gated. Medical intelligence on Hugging Face. The loop is the product.

Maziyar PANAHI

25,417 просмотров • 2 месяцев назад

Dexter just hit 25,000 stars on GitHub. It's like Claude Code, but for finance. How I use it: • Screen stocks • Track earnings • Monitor my portfolio Bring your own data, search, LLM providers. It’s 100% open source.
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Dexter just hit 25,000 stars on GitHub. It's like Claude Code, but for finance. How I use it: • Screen stocks • Track earnings • Monitor my portfolio Bring your own data, search, LLM providers. It’s 100% open source.

Virat Singh

42,310 просмотров • 2 месяцев назад

another open source win: opencode + GLM 4.6 is basically Claude Code (used it all day) but insanely cheap + better TUI. And you can use it with your Hugging Face token now 🔥
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another open source win: opencode + GLM 4.6 is basically Claude Code (used it all day) but insanely cheap + better TUI. And you can use it with your Hugging Face token now 🔥

Victor M

217,637 просмотров • 9 месяцев назад

🤗🤗🤗 🤗❤️🤗 Hugging Face & Cline = your LLM playground 🤗🤗🤗 You can access Kimi K2 & 6,140 (!) other open source models in Cline.
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🤗🤗🤗 🤗❤️🤗 Hugging Face & Cline = your LLM playground 🤗🤗🤗 You can access Kimi K2 & 6,140 (!) other open source models in Cline.

Cline

157,530 просмотров • 1 год назад

Introducing: OpenGranola 🔥 I built an open source meeting copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link below
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Introducing: OpenGranola 🔥 I built an open source meeting copilot for macOS. It transcribes both sides of your call on-device, searches your own notes in real time, and hands you talking points right when the conversation needs them. No audio leaves your Mac. Point it at a folder of markdown files, pick any LLM through OpenRouter (Claude, GPT-4o, Gemini, Llama), and it just works. It's invisible to screen share too — nobody knows you have it. The whole thing is open source. Link below

yazin

292,712 просмотров • 4 месяцев назад

HOPEJr is an open-source, DIY humanoid robot built by Hugging Face and The Robot Studio. It features 3D-printed parts, dexterous hands, and costs under $3,000. Here's the first fully assembled HOPEJr. Blueprint:
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HOPEJr is an open-source, DIY humanoid robot built by Hugging Face and The Robot Studio. It features 3D-printed parts, dexterous hands, and costs under $3,000. Here's the first fully assembled HOPEJr. Blueprint:

The Humanoid Hub

34,380 просмотров • 1 год назад

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)
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🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

Ihtesham Ali

135,236 просмотров • 4 месяцев назад

the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more
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the Shopify AI Toolkit is here manage your store with your favorite agent Claude Code, Codex, Cursor, VS Code, and more

Shopify

3,979,030 просмотров • 3 месяцев назад

21st Agents is now in Public Beta. The infra layer to ship Claude Code & Codex agents inside your product. In minutes. Comment for free credits to try 🧵
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21st Agents is now in Public Beta. The infra layer to ship Claude Code & Codex agents inside your product. In minutes. Comment for free credits to try 🧵

serafim

83,775 просмотров • 4 месяцев назад

290MB = useful LLM (running directly in your browser via WebGPU) 🤯 Bonsai 1-bit is beyond my comprehension... try the demo on hugging face ⬇️
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290MB = useful LLM (running directly in your browser via WebGPU) 🤯 Bonsai 1-bit is beyond my comprehension... try the demo on hugging face ⬇️

Victor M

63,157 просмотров • 3 месяцев назад

IBM’s watsonx․ai geospatial foundation model is now openly available on Hugging Face. Built with NASA Earth, it’s the first-ever open-source #AI foundation model built with NASA & largest geospatial model on HuggingFace. Explore more:
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IBM’s watsonx․ai geospatial foundation model is now openly available on Hugging Face. Built with NASA Earth, it’s the first-ever open-source #AI foundation model built with NASA & largest geospatial model on HuggingFace. Explore more:

IBM News

759,170 просмотров • 2 лет назад

Today, we're shipping the new Resend email editor, extended by AI. What I love about this is that you can BYOA (Bring Your Own Agent). There's a built-in LLM that can help you draft an email based on an URL. But you can just MCP into the editor too.
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Today, we're shipping the new Resend email editor, extended by AI. What I love about this is that you can BYOA (Bring Your Own Agent). There's a built-in LLM that can help you draft an email based on an URL. But you can just MCP into the editor too.

Zeno Rocha

57,954 просмотров • 3 месяцев назад

What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️
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What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️

NVIDIA AI

41,187 просмотров • 17 дней назад

The speech on the FREE open source Sesame text to speech is astonishing. It just killed Google’s voice project for podcasts and the monetization they hoped for. Here is a Hugging Face Gradio link to test: But download it and clone your voice!
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The speech on the FREE open source Sesame text to speech is astonishing. It just killed Google’s voice project for podcasts and the monetization they hoped for. Here is a Hugging Face Gradio link to test: But download it and clone your voice!

Brian Roemmele

87,908 просмотров • 1 год назад

Unpopular opinion: Most agent evals are theatre. You run them once before the deployment. It'll take 800ms+ as another LLM would be judging your LLM. Most annoying part - no one tells where in the chain things went wrong. I wasted a lot of time in this loop. And then I came across Future AGI bringing 5 different tools under one umbrella, best part - the platform is completely open source. They open sourced their entire platform and the eval layer is noticeably different. It is multimodal - works on everything text, image, audio, pdf. Not an LLM-as-judge adding latency but an agent with memory and tools. The biggest win are learned classifiers trained on actual production failure patterns to run evals at low cost. It also runs across the full reasoning chain, not just the final response. Check out → Try it here →
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Unpopular opinion: Most agent evals are theatre. You run them once before the deployment. It'll take 800ms+ as another LLM would be judging your LLM. Most annoying part - no one tells where in the chain things went wrong. I wasted a lot of time in this loop. And then I came across Future AGI bringing 5 different tools under one umbrella, best part - the platform is completely open source. They open sourced their entire platform and the eval layer is noticeably different. It is multimodal - works on everything text, image, audio, pdf. Not an LLM-as-judge adding latency but an agent with memory and tools. The biggest win are learned classifiers trained on actual production failure patterns to run evals at low cost. It also runs across the full reasoning chain, not just the final response. Check out → Try it here →

Swapna Kumar Panda

49,557 просмотров • 2 месяцев назад

The craft of engineering is rapidly changing. At Ramp, we built our own background coding agent to accelerate faster. We call it Inspect. It wrote 30% of merged frontend + backend PRs in the past week. It’s powered by OpenCode, Modal and Cloudflare Developers. It runs fully in the cloud, and starts in seconds, letting every builder work at the speed of thought, no setup required. Today, we’re open sourcing the full blueprint so anybody can build their own Inspect. Just give our spec to your current coding agent, and let it build your new favourite.
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The craft of engineering is rapidly changing. At Ramp, we built our own background coding agent to accelerate faster. We call it Inspect. It wrote 30% of merged frontend + backend PRs in the past week. It’s powered by OpenCode, Modal and Cloudflare Developers. It runs fully in the cloud, and starts in seconds, letting every builder work at the speed of thought, no setup required. Today, we’re open sourcing the full blueprint so anybody can build their own Inspect. Just give our spec to your current coding agent, and let it build your new favourite.

Zach Bruggeman

802,018 просмотров • 6 месяцев назад

We're betting on the next 1B+ users being agents, so we're launching agent signups. Ask your agent to add Firecrawl, instantly claim your API key, then pull web data in seconds. Works with Codex, Claude Code & Grok Build, all powered by auth.md from WorkOS🔥
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We're betting on the next 1B+ users being agents, so we're launching agent signups. Ask your agent to add Firecrawl, instantly claim your API key, then pull web data in seconds. Works with Codex, Claude Code & Grok Build, all powered by auth.md from WorkOS🔥

Firecrawl

45,439 просмотров • 1 месяц назад

Compiled the leaked Claude Code source and got it running locally. Then I spun up an Agent Team and had it analyze its own codebase.
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Compiled the leaked Claude Code source and got it running locally. Then I spun up an Agent Team and had it analyze its own codebase.

Kai

251,476 просмотров • 3 месяцев назад

Introducing Expect Let agents test your code in a real browser 1. Run Claude Code / Codex to QA your app 2. Watch a video of every bug found 3. Fix and repeat until passing Run as a CLI or agent skill. Fully open source
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Introducing Expect Let agents test your code in a real browser 1. Run Claude Code / Codex to QA your app 2. Watch a video of every bug found 3. Fix and repeat until passing Run as a CLI or agent skill. Fully open source

Aiden Bai

842,510 просмотров • 3 месяцев назад

A guy got 6M views on X in 2 days using Claude X open-sourced its For You recommendation algorithm on GitHub. The author read it, broke down the key signals and created an agent based on Claude > Claude received all the algorithm data > Creates content for your niche > Selects visuals > Posts autonomously Claude + Algorithms = millions of views The full guide is already available to the public, add it to your bookmarks
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A guy got 6M views on X in 2 days using Claude X open-sourced its For You recommendation algorithm on GitHub. The author read it, broke down the key signals and created an agent based on Claude > Claude received all the algorithm data > Creates content for your niche > Selects visuals > Posts autonomously Claude + Algorithms = millions of views The full guide is already available to the public, add it to your bookmarks

Bober_smart

254,352 просмотров • 2 месяцев назад