--- title: "witsy vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kochava-studios-witsy-vs-moby-moby" tools: ["kochava-studios-witsy", "moby-moby"] --- # witsy vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick witsy when witsy is primarily TypeScript; moby is Go; pick moby when moby is primarily Go; witsy is TypeScript. [witsy](https://github.com/Kochava-Studios/witsy) reports 2.0k GitHub stars, 165 forks, and 55 open issues, last pushed Apr 23, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [witsy's repository](https://github.com/Kochava-Studios/witsy) and [moby's repository](https://github.com/moby/moby). | | [witsy](/tools/kochava-studios-witsy.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Witsy: desktop AI assistant / universal MCP client | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 1,998 | 71,899 | | Forks | 165 | 19,126 | | Open issues | 55 | 3,821 | | Language | TypeScript | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Vector Databases | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [witsy](/tools/kochava-studios-witsy.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 82d | 1d | | Open issues (now) | 55 | 3.8k | | Full report | [trust report](/tools/kochava-studios-witsy/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose witsy if… - witsy is primarily TypeScript; moby is Go. - License: witsy is AGPL-3.0, moby is Apache-2.0. - Tags unique to witsy: anthropic, deepseek, electron-app, electronjs. - Also covers Vector Databases. - witsy ships an MCP server manifest. ### Choose moby if… - moby is primarily Go; witsy is TypeScript. - License: moby is Apache-2.0, witsy is AGPL-3.0. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ## When NOT to use witsy - 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## 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. ## Common questions ### What is the difference between witsy and moby? witsy: Witsy: desktop AI assistant / universal MCP client. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose witsy over moby? Choose witsy over moby when witsy is primarily TypeScript; moby is Go; License: witsy is AGPL-3.0, moby is Apache-2.0; Tags unique to witsy: anthropic, deepseek, electron-app, electronjs; Also covers Vector Databases; witsy ships an MCP server manifest. ### When should I choose moby over witsy? Choose moby over witsy when moby is primarily Go; witsy is TypeScript; License: moby is Apache-2.0, witsy is AGPL-3.0; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I avoid witsy? 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### 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. ### Is witsy or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 1,998). Stars measure visibility, not whether either tool fits your constraints. ### Are witsy and moby open source? Yes - both are open-source projects on GitHub (witsy: AGPL-3.0, moby: Apache-2.0). ### Where can I find alternatives to witsy or moby? GraphCanon lists graph-backed alternatives at [witsy alternatives](/tools/kochava-studios-witsy/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([witsy markdown twin](/tools/kochava-studios-witsy/alternatives.md), [moby markdown twin](/tools/moby-moby/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/kochava-studios-witsy-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, witsy or moby? witsy: Steady. moby: 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 witsy and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [witsy trust report](/tools/kochava-studios-witsy/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kochava-studios-witsy`](/api/graphcanon/graph?tool=kochava-studios-witsy) - 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/_