Open-source TypeScript framework for building AI agents with rich UIs, one action powering every surface.

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What is Agent-Native?
Open-source framework for building agentic apps
Agent-Native is an open-source TypeScript framework for building agentic apps — AI agents with rich, intuitive UIs. Define an action once with defineAction() and reuse the same code across the agent, React UI, HTTP API, MCP server, A2A endpoint and CLI. Agents share application state and data with the UI, so anything the UI can do, the agent can do. It ships with built-in authentication, organizations and permissions, skills and memory so agents learn how your team works, agent teams over the A2A protocol, and event-driven automation. Model-agnostic: bring your own LLM, build locally with npx, deploy anywhere. MIT licensed.
Platforms and languages
Agent-Native Availability
Platforms
Languages
Capabilities
Agent-Native Key Features
One action powers every surface
Define a capability once with defineAction() and reuse the same code across the agent, React UI, HTTP API, MCP, A2A and CLI.
Agent chat embedded in React UI
Agents share application state and data with the UI — anything the UI can do, the agent can do.
Auth, orgs and permissions
Built-in authentication, organizations and permissions with sharing and real-time collaboration.
Skills and memory
Agents learn how your team works and remember context across sessions.
Agent teams and automation
Coordinate multiple agents over the A2A protocol with event-driven automation workflows.
Best for
Who uses Agent-Native?
Developers
building agentic apps with shared actions across agents, UI and APIs
Plans and access
Agent-Native Pricing
Free
Free and open source under the MIT License
Common questions
Agent-Native FAQs
Is Agent-Native free?
Yes. Agent-Native is open source under the MIT License; install it locally with npx and deploy anywhere.
How does one action power every surface?
Define a capability once with defineAction(), then reuse the same code across the agent, React UI, HTTP API, MCP server, A2A endpoint and CLI — one implementation powers every surface.
Which AI models can I use?
Any model. Agent-Native is model-agnostic — bring your own LLM and deploy anywhere.
What comes built in?
The framework wires UI, context, data, permissions and infrastructure together, with built-in authentication, organizations, permissions, real-time collaboration, skills and memory.
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