--- title: "moby vs kitaru" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-zenml-io-kitaru" tools: ["moby-moby", "zenml-io-kitaru"] --- # moby vs kitaru *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; kitaru is Python; pick kitaru when kitaru is primarily Python; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [kitaru](https://kitaru.ai) has 202 stars, 15 forks, and 36 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [kitaru's repository](https://github.com/zenml-io/kitaru). | | [moby](/tools/moby-moby.md) | [kitaru](/tools/zenml-io-kitaru.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | Record, replay, and improve AI agents in production, built on ZenML | | Stars | 71,899 | 202 | | Forks | 19,126 | 15 | | Open issues | 3,821 | 36 | | Language | Go | Python | | 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) | [kitaru](/tools/zenml-io-kitaru.md) | | --- | --- | --- | | Open issues (now) | 3.8k | 36 | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/zenml-io-kitaru/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; kitaru is Python. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. - moby ships Docker support for self-hosted deployment. ### Choose kitaru if… - kitaru is primarily Python; moby is Go. - Tags unique to kitaru: agent-framework, ai-agents, checkpoints, durable-execution. - 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 kitaru - 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 kitaru? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. kitaru: Record, replay, and improve AI agents in production, built on ZenML. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over kitaru? Choose moby over kitaru when moby is primarily Go; kitaru is Python; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment. ### When should I choose kitaru over moby? Choose kitaru over moby when kitaru is primarily Python; moby is Go; Tags unique to kitaru: agent-framework, ai-agents, checkpoints, durable-execution; 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 kitaru? 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 kitaru more popular on GitHub? moby has more GitHub stars (71,899 vs 202). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and kitaru open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, kitaru: Apache-2.0). ### Where can I find alternatives to moby or kitaru? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [kitaru alternatives](/tools/zenml-io-kitaru/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [kitaru markdown twin](/tools/zenml-io-kitaru/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-zenml-io-kitaru.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or kitaru? moby: Very active. kitaru: 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 kitaru? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [kitaru trust report](/tools/zenml-io-kitaru/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/_