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Chidori

by Community

A reactive runtime for building durable AI agents

C

OSS

Chidori

Added 1 June 2026

#agents #ai #debugging #framework #llmops #llms #orchestration

Overview

Chidori is a reactive runtime built in C for constructing durable AI agents. It provides an execution environment where agents react to events and state changes, ensuring persistence across restarts. The runtime is open-source and maintained by the community under ThousandBirdsInc.

Best for

Best for
Developers who need a lightweight, durable runtime for reactive AI agents and are comfortable working in C.

Use cases

  • Building long-running, stateful AI agents that survive crashes
  • Orchestrating reactive workflows triggered by external events
  • Developing low-latency agent systems in resource-constrained environments

Notes

Chidori is a reactive runtime built in C for constructing durable AI agents. It provides an execution environment where agents react to events and state changes, ensuring persistence across restarts. The runtime is open-source and maintained by the community under ThousandBirdsInc.

1,346 stars on GitHub. Last updated 2026-05-31. Licensed Apache-2.0.

Use cases

  • Building long-running, stateful AI agents that survive crashes
  • Orchestrating reactive workflows triggered by external events
  • Developing low-latency agent systems in resource-constrained environments

Pros

  • High performance and low overhead from implementation in C
  • Reactive model simplifies handling of asynchronous event streams
  • Open-source with active community contributions

Cons

  • C language may present a steeper learning curve for agent developers
  • Smaller ecosystem compared to Python- or JS-based orchestration tools
  • Limited documentation and examples for complex use cases

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • High performance and low overhead from implementation in C
  • Reactive model simplifies handling of asynchronous event streams
  • Open-source with active community contributions

Cons

  • C language may present a steeper learning curve for agent developers
  • Smaller ecosystem compared to Python- or JS-based orchestration tools
  • Limited documentation and examples for complex use cases

Pairs with

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