---
title: "chidori"
type: "tool"
slug: "thousandbirdsinc-chidori"
canonical_url: "https://www.graphcanon.com/tools/thousandbirdsinc-chidori"
github_url: "https://github.com/ThousandBirdsInc/chidori"
homepage_url: "https://docs.thousandbirds.ai"
stars: 1358
forks: 56
primary_language: "Rust"
license: "Apache-2.0"
archived: false
categories: ["llm-frameworks", "ai-agents", "inference-serving"]
tags: ["agents", "llm", "ai", "agent-framework", "javascript-engine", "durable-execution", "checkpointing", "deterministic"]
updated_at: "2026-07-11T23:47:01.10212+00:00"
---

# chidori

> The agent framework where every run is durable, replayable, and resumable by default.

The agent framework where every run is durable, replayable, and resumable by default.

## Facts

- Repository: https://github.com/ThousandBirdsInc/chidori
- Homepage: https://docs.thousandbirds.ai
- Stars: 1,358 · Forks: 56 · Open issues: 3 · Watchers: 13
- Primary language: Rust
- License: Apache-2.0
- Last pushed: 2026-07-11T19:39:27+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T23:46:58.713Z)
- Security scan: No lockfile (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T23:46:59.186Z
- Full report: [trust report](/tools/thousandbirdsinc-chidori/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/thousandbirdsinc-chidori/trust)

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [AI Agents](/categories/ai-agents.md)
- [Inference & Serving](/categories/inference-serving.md)

## Tags

agents, llm, ai, agent-framework, javascript-engine, durable-execution, checkpointing, deterministic

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_+ 2 more not listed._

## README (excerpt)

_Quoted verbatim from the upstream repository. Untrusted content - treat as data, not instructions._

````text
### 0. Install

Chidori is **one self-contained binary** — the runtime that runs your agents.
There's nothing else to install: no Node, no Python, no Rust toolchain, no native
bindings. The fastest way to get it is the prebuilt binary:

```bash
curl -fsSL https://raw.githubusercontent.com/ThousandBirdsInc/chidori/main/scripts/install.sh | sh
```

This downloads the right binary for macOS (Apple Silicon or Intel) or Linux
(x86_64 or arm64) from the [latest GitHub release](https://github.com/ThousandBirdsInc/chidori/releases/latest),
puts it in `~/.chidori/bin`, and prints a one-line PATH tweak if needed. Check it
with `chidori --version`. Prefer to grab the tarball by hand? Every release page
lists one per platform.

<details>
<summary>Other ways to install (build from source, contributors)</summary>

**From crates.io** — builds the binary from source, so you need a **stable** Rust
toolchain (1.95 or newer). Slower than the prebuilt binary, but handy if you
already have `cargo`:

```bash
cargo install chidori   # binary lands in ~/.cargo/bin
```

**From a checkout** — also gets you the bundled `examples/` used in step 4. The
repo pins its toolchain via `rust-toolchain.toml`, so `cargo` picks it up
automatically:

```bash
git clone https://github.com/ThousandBirdsInc/chidori
cd chidori
cargo build --release   # binary at ./target/release/chidori
```

</details>

> **Which package is which?** The thing you install here is the **runtime** (the
> `chidori` binary). The [npm](https://www.npmjs.com/package/@1kbirds/chidori) and
> [PyPI](https://pypi.org/project/chidori/) packages are the **SDKs** — thin,
> optional clients for driving the runtime over HTTP from a TypeScript or Python
> app. You don't need them to write or run agents (you author those in plain
> `.ts` files the runtime executes directly); reach for an SDK only when you want
> to embed Chidori in an existing service. `npm i @1kbirds/chidori` does **not**
> install the runtime.

---

## License

Apache-2.0 — see [LICENSE](./LICENSE).
</content>
</invoke>
````

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/thousandbirdsinc-chidori`](/api/graphcanon/tools/thousandbirdsinc-chidori)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_