--- title: "moby vs chidori" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-thousandbirdsinc-chidori" tools: ["moby-moby", "thousandbirdsinc-chidori"] --- # moby vs chidori *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; chidori is Rust; pick chidori when chidori is primarily Rust; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [chidori](https://docs.thousandbirds.ai) has 1.4k stars, 56 forks, and 3 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [chidori's repository](https://github.com/ThousandBirdsInc/chidori). | | [moby](/tools/moby-moby.md) | [chidori](/tools/thousandbirdsinc-chidori.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | The agent framework where every run is durable, replayable, and resumable by default. | | Stars | 71,899 | 1,358 | | Forks | 19,126 | 56 | | Open issues | 3,821 | 3 | | Language | Go | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [chidori](/tools/thousandbirdsinc-chidori.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 3 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/thousandbirdsinc-chidori/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; chidori is Rust. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose chidori if… - chidori is primarily Rust; moby is Go. - Tags unique to chidori: agent-framework, agents, ai, checkpointing. - Also covers AI Agents. ## When NOT to use moby - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use chidori - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between moby and chidori? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. chidori: The agent framework where every run is durable, replayable, and resumable by default.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over chidori? Choose moby over chidori when moby is primarily Go; chidori is Rust; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose chidori over moby? Choose chidori over moby when chidori is primarily Rust; moby is Go; Tags unique to chidori: agent-framework, agents, ai, checkpointing; Also covers AI Agents. ### When should I avoid moby? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid chidori? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is moby or chidori more popular on GitHub? moby has more GitHub stars (71,899 vs 1,358). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and chidori open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, chidori: Apache-2.0). ### Where can I find alternatives to moby or chidori? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [chidori alternatives](/tools/thousandbirdsinc-chidori/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [chidori markdown twin](/tools/thousandbirdsinc-chidori/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/moby-moby-vs-thousandbirdsinc-chidori.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or chidori? moby: Very active. chidori: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for moby and chidori? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [chidori trust report](/tools/thousandbirdsinc-chidori/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=moby-moby`](/api/graphcanon/graph?tool=moby-moby) - 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/_