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:show more

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.show more

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.show more

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 🔥show more

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 belowshow more

this is f**king dangerous Most people treat Claude like... a search bar. The ones with a second brain treat it as an intelligence layer on everything they know. Here's the 15-minute setup: → Install Claude Code → Install Obsidian, create a vault → Open it in Claude Code, drop in the CLAUDE.md schema — that one file is the engine → Throw any source in, say "ingest this" Done. From then on, everything you know is queryable by the most capable AI on earth. Claude wires each source against your whole vault and surfaces connections you forgot you had. Build it tonight. full A–Z guide below.show more

🚨 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)show more

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

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

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 🧵show more

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:show more

this is f**king insane i cancelled my $20/mo claude... subscription for this. a dev found a way around OpenAI's usage limits and got unlimited GPT-5.6 Luna on Codex for FREE ($0)😳 He built a three step local workflow on a single machine. This involved no servers, shared accounts, or a team. Instead he used a GitHub repo, one prompt file, and a local coding agent. Traditional users pay full price or hit usage limits. His cost: basically $0. Here's the set up (3min): → Repo layer: Installed 'sol-advisor' from GitHub. → Prompt layer: Copied the 'savings-prompt' out of the repo. → Agent layer: Pointed codex at gpt 5.6 luna with the prompt loaded. → Activation: Loaded it into codex. Usage limits gone. usage after activation: normal codex access. unlimited. one trick. one window. use this before it gets patched.show more

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.show more

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 ➡️show more

NVIDIA’s ARDY is a glimpse of where AI animation... is heading: real time, open source and you can play with it right now on Hugging Face Spaces Type what the character should do and generate a motion sequence in seconds. Give a sentence a body.show more

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 →show more

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.show more

I built a thing using Jev. Have you ever... been annoyed by not finding an old Claude Code or Codex chat? => Now you can just describe what it was about and Jev finds it in milliseconds. Open Source:show more