--- title: "moby vs ODS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-osmantic-ods" tools: ["moby-moby", "osmantic-ods"] --- # moby vs ODS *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; ODS is Shell; pick ODS when oDS is primarily Shell; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [ODS](https://discord.gg/qGVygYada3) has 2.9k stars, 418 forks, and 107 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [ODS's repository](https://github.com/Osmantic/ODS). | | [moby](/tools/moby-moby.md) | [ODS](/tools/osmantic-ods.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. | | Stars | 71,899 | 2,919 | | Forks | 19,126 | 418 | | Open issues | 3,821 | 107 | | Language | Go | Shell | | 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) | [ODS](/tools/osmantic-ods.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 107 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/osmantic-ods/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; ODS is Shell. - Tags unique to moby: containers, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose ODS if… - ODS is primarily Shell; moby is Go. - Tags unique to ODS: ai-agents, amd, comfyui, llama-cpp. - 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 ODS - 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 ODS? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. ODS: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over ODS? Choose moby over ODS when moby is primarily Go; ODS is Shell; Tags unique to moby: containers, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose ODS over moby? Choose ODS over moby when ODS is primarily Shell; moby is Go; Tags unique to ODS: ai-agents, amd, comfyui, llama-cpp; 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 ODS? 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 ODS more popular on GitHub? moby has more GitHub stars (71,899 vs 2,919). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and ODS open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, ODS: Apache-2.0). ### Where can I find alternatives to moby or ODS? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [ODS alternatives](/tools/osmantic-ods/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [ODS markdown twin](/tools/osmantic-ods/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-osmantic-ods.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or ODS? moby: Very active. ODS: 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 ODS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [ODS trust report](/tools/osmantic-ods/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/_