The Frontend Stack for Agents & Generative UI. Open-Source (MIT) Creators of the AG-UI Protocol.

San Francisco
Joined May 2021
Intelligent UI allows your agents to answer quickly with fully interactive user interfaces. - make everyday answers more visual - learn complex topics easier - quickly create tools that solve a task Try the starter template: github.com/CopilotKit/OpenIn…
In 2027, every app will ship Intelligent UI. We open sourced it👇 Open Intelligent UI, built with @CopilotKit (#5 Trending, 4k Github stars) CopilotKit makes Intelligent UI possible in ANY app, and works with: - Any LLM - Any agent framework - Your own components and design system - Every kind of generative UI We built it around flexibility and no lock-in. 👉 Try Open Intelligent UI: github.com/CopilotKit/OpenIn… CopilotKit is the product stack for agents with nearly 40k stars and 16M+ downloads. Repo at the end. See Intelligent UI examples below
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OpenDots 🤝 @Composio Your agents can now get access to any app. Connect your first one now 👇
🎉 OpenDots now works with @composio Your personal AI coworkers can now work across Gmail, GitHub, Notion, Linear and 1,000+ more apps. Chat, call, or even @ them in Slack. Contributed by the Composio team 👏
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New in OpenMuse: @E2B computers Your agent gets its own proper desktop. More below 👇
🎉 OpenMuse now has @e2b computer use Give your personal agent a full Linux desktop it can see, click, and type on. Includes: → Chrome, Firefox and LibreOffice → Take over anytime → Persistent files → Support for Claude, GPT and Gemini Contributed by the E2B team @mlejva
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OpenMuse is live on Product Hunt 🚀 It's the best open source template of Meta Muse: - #1 Repo of the Day - 5k+ GitHub ⭐️ - 700+ forks Please support and Upvote here: producthunt.com/products/cop…
🎉 Introducing 𝙾𝚙𝚎𝚗𝙼𝚞𝚜𝚎 An open source, self-hostable personal assistant that works with any agent harness. Includes: - Computer use: browser, terminal & files - Connectors for your personal apps - Ideas, goals & progress tracking - Built for Mobile and Web Repo → github.com/CopilotKit/OpenMu… Powered by @CopilotKit and AG-UI. Clone this template and customize it however you want.
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London's FIRST @LangChain Interrupt💂 It's always great to represent here, especially since AG-UI emerged out of partnership with LangChain back in the day. Come find us at the next one! Thank you @hwchase17 and team 🦜🪁
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Continual Learning works for ANY agent Every agent and user step can be securely captured and turned into Full-stack Trajectories, which can then be used to generate: 1. Evals from real usage 2. Skills for agents & MCP servers 3. Datasets for fine-tuning models Powered by AG-UI & CopilotKit Intelligence. The more your users use your product, the better it gets. Now in early access: go.copilotkit.ai/get-clif
INTRODUCING: CopilotKit CLiF A platform for Continual Learning from Full-stack Trajectories. Teach your agents how work gets done by turning the work users & employees do into: → Exportable datasets (of trajectories) → Evals (bring into platform of choice) → Skills → Fine-tuned models Your users already do the exact tasks you're trying to teach your agent, every day. Yet months of evals and engineering leave out your most important dataset... Product trajectories. AG-UI already sees every step your agent takes. Now it can also securely capture what your users do: what was on their screen, the buttons they clicked, the server requests they triggered. Together that's a full-stack trajectory. Your people already do the work. Now agents can learn it from them. Compatible with your existing observability and evals stack. Fully self-hostable. @CopilotKit CLiF is in private alpha. Book a demo / Get early access: go.copilotkit.ai/get-clif More below 👇
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🎉 Announcing CLiF Securely capture entire product + agent trajectories from real usage. Then use that data to create: - Exportable fullstack trajectories - Evals - Skills - Fine-tuned models Get early access → go.copilotkit.ai/get-clif Powered by AG-UI & CopilotKit Intelligence
INTRODUCING: CopilotKit CLiF A platform for Continual Learning from Full-stack Trajectories. Teach your agents how work gets done by turning the work users & employees do into: → Exportable datasets (of trajectories) → Evals (bring into platform of choice) → Skills → Fine-tuned models Your users already do the exact tasks you're trying to teach your agent, every day. Yet months of evals and engineering leave out your most important dataset... Product trajectories. AG-UI already sees every step your agent takes. Now it can also securely capture what your users do: what was on their screen, the buttons they clicked, the server requests they triggered. Together that's a full-stack trajectory. Your people already do the work. Now agents can learn it from them. Compatible with your existing observability and evals stack. Fully self-hostable. @CopilotKit CLiF is in private alpha. Book a demo / Get early access: go.copilotkit.ai/get-clif More below 👇
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🚀 Announcing 𝙾𝚙𝚎𝚗 𝙸𝚗𝚝𝚎𝚕𝚕𝚒𝚐𝚎𝚗𝚝 𝚄𝙸 An open-source template that brings Intelligent UI into YOUR product. Works with: - Any model - Any agent harness - Your components and design system Available on Web, Mobile, Slack and more. Repo below 👇
Introducing 𝙾𝚙𝚎𝚗 𝙸𝚗𝚝𝚎𝚕𝚕𝚒𝚐𝚎𝚗𝚝 𝚄𝙸 A template for bringing interactive, generative UI to your own product. Works with ANY agent. Supports: → Your design system → Your components → Your real data and actions Repo: github.com/CopilotKit/OpenIn… Available on Web, Mobile, and Slack. Powered by @CopilotKit and AG-UI.
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New cookbook: MCP Apps with @manufact Build an MCP App that renders inside your CopilotKit chat. This is a great way to bring interactive, generative UI into your product. Full walkthrough: docs.copilotkit.ai/cookbook/…
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