Agentry – AI Agents as React Components
Hi HN, Over Thanksgiving weekend I wanted to build an AI agent. As a design exercise, I wrote it as a set of React components. The component model made it easier to reason about the moving parts, composability was straightforward (e.g., reusing agents/tools), and hooks/state felt like a reasonable way to model behavior that changes over time. As I kept experimenting, I realized I was more interested in the framework (and it was a good excuse to explore React’s internals) than in the agent I originally planned, so I built this project instead. In this framework: - Agents are React…
In plain words
Agentry is a framework for building AI agents as React components. Agents can include messages, tools, and other agents as nested components, with tools dynamically mounted or unmounted based on React state. Developers can compose reusable agents and tools using familiar React patterns like hooks and conditional rendering. The framework treats agent behavior as component state that changes over time, leveraging React's component model to structure AI agent logic.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, Over Thanksgiving weekend I wanted to build an AI agent. As a design exercise, I wrote it as a set of React components. The component model made it easier to reason about the moving parts, composability was straightforward (e.g., reusing agents/tools), and hooks/state felt like a reasonable way to model behavior that changes over time. As I kept experimenting, I realized I was more interested in the framework (and it was a good excuse to explore React’s internals) than in the agent I originally planned, so I built this project instead. In this framework: - Agents are React components. - Agents have <Message>, <Tools>, … and even other agents as tools via <AgentTool>. - You can mount/unmount tools based on React state, and tools can set state to change what tools are available on the next turn. - There is a <Condition when="<natural language>" /> component that allows changing behavior based on the conversation history. - Built-in support for code execution, web search, memory, and MCP servers through Anthropic’s API. This is still a WIP project, but I’d love any feedback. --- Repo: https://github.com/colinds/agentry Selected examples: - Hooks: https://github.com/colinds/agentry/blob/main/packages/exampl... - Subagents: https://github.com/colinds/agentry/blob/main/packages/exampl... - Conditions: https://github.com/colinds/agentry/blob/main/packages/exampl...
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