--- title: "moby vs thClaws" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-thclaws-thclaws" tools: ["moby-moby", "thclaws-thclaws"] --- # moby vs thClaws *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; thClaws is Rust; pick thClaws when thClaws 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. [thClaws](https://thclaws.ai) has 1.1k stars, 158 forks, and 0 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [thClaws's repository](https://github.com/thClaws/thClaws). | | [moby](/tools/moby-moby.md) | [thClaws](/tools/thclaws-thclaws.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams. | | Stars | 71,899 | 1,150 | | Forks | 19,126 | 158 | | Open issues | 3,821 | 0 | | Language | Go | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, Inference & Serving, Developer Tools | LLM Frameworks, AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [thClaws](/tools/thclaws-thclaws.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 0 | | Security scan | No criticals | No MCP manifest | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/thclaws-thclaws/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; thClaws is Rust. - Tags unique to moby: go, docker, golang, containers. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose thClaws if… - thClaws is primarily Rust; moby is Go. - Tags unique to thClaws: agent-teams, desktop-app, claude-code, anthropic. - Also covers AI Agents. ## When NOT to use moby - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use thClaws - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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. ## Common questions ### What is the difference between moby and thClaws? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. thClaws: Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over thClaws? Choose moby over thClaws when moby is primarily Go; thClaws is Rust; Tags unique to moby: go, docker, golang, containers; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose thClaws over moby? Choose thClaws over moby when thClaws is primarily Rust; moby is Go; Tags unique to thClaws: agent-teams, desktop-app, claude-code, anthropic; Also covers AI Agents. ### When should I avoid moby? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid thClaws? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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. ### Is moby or thClaws more popular on GitHub? moby has more GitHub stars (71,899 vs 1,150). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and thClaws open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, thClaws: Apache-2.0). ### Where can I find alternatives to moby or thClaws? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [thClaws alternatives](/tools/thclaws-thclaws/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [thClaws markdown twin](/tools/thclaws-thclaws/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-thclaws-thclaws.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or thClaws? moby: Very active. thClaws: 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 thClaws? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [thClaws trust report](/tools/thclaws-thclaws/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/_