Open-source React framework for building AI-native frontends enabling agents to interact with application state.
cedar-OS is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view CedarCopilot/cedar-OS --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 340 days ago.
169 GitHub stars indicate community interest.
15 open issues signal maintenance load.
Apache-2.0 license detected.
3 security/trust notes recorded.
Setup difficulty is 2/5.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
Bidirectional MCP bridge that lets AI draw UI directly on Figma canvas and read designs back as structured data.
Extract any website's complete design system with one command.
Cedar OS is a React framework that allows AI agents to read and write to your React application state, enabling dynamic, agent-driven UI interactions.
Cedar OS is a comprehensive React framework that bridges the gap between AI agents and React applications. It provides everything you need to build AI-native applications where agents can read, write, and interact with your application state just like users can. It focuses on the interaction layer between AI and humans, providing easier, more intuitive ways for users to interact with AI beyond chat.
Create a React component using Cedar OS that allows an AI agent to update a user's profile name and email, and display a confirmation message.
169
Stars
18
Forks
15
Issues
Apache-2.0
License
Open-source React framework for building AI-native frontends enabling agents to interact with application state.
React developers, AI engineers building agent interfaces, Frontend engineers interested in AI integration
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Agents can read and modify application state, so access control and validation are essential Ensure sensitive data is not exposed to agents without proper authentication
Similar or complementary options to evaluate include uSpec, Argos, figma-ui-mcp.
Aug 20, 2026