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Basic Information

Cloudflare Agents is a framework and starter ecosystem for building intelligent, stateful agents that run at the edge. It is intended for developers who want to create agents that persist state and memory, engage in real-time communication, process and learn from interactions, and operate autonomously at global scale while hibernating when idle and awakening on demand. The repository provides a core agent framework with state management, real-time WebSocket support, HTTP endpoints and routing, React integration hooks, and basic AI chat capabilities. It includes documentation, guides and examples to help teams prototype and deploy agents, plus starter templates and an npm package to add the tooling to existing projects. The project is actively developed and distributed under the MIT license.

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Features
Core framework with built-in state management and support for persistent memory. Real-time WebSocket communication for live interactions and event-driven flows. HTTP endpoints and routing to expose agent functionality and integrate with web services. React integration hooks to make frontend integration straightforward. Basic AI chat capabilities for conversational behavior. Starter templates and npm packaging for quick onboarding using provided create and install commands. Documentation includes a core framework guide, patterns for building agents, a human-in-the-loop guide, and a playground example. Roadmap items listed as in-development include advanced memory systems, WebRTC for audio/video, email integration, an evaluation framework, enhanced observability, and a self-hosting guide.
Use Cases
This repository helps developers accelerate building and deploying intelligent agents by providing edge-first infrastructure and reusable components. Persistent state and memory features let agents remember and evolve across sessions while hibernation and awaken-on-demand behavior support efficient global scaling. Real-time WebSocket support and HTTP routing simplify integration with existing web services and workflows. React hooks reduce frontend integration effort and starter templates plus documentation and example playgrounds lower onboarding friction. The included guides and patterns support best practices for agent behavior and human-in-the-loop designs. Active development and a permissive MIT license encourage contributions and experimentation, making it practical for teams to prototype, iterate, and move toward production deployments at the network edge.

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