--- title: "agent-control vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentcontrol-agent-control-vs-moby-moby" tools: ["agentcontrol-agent-control", "moby-moby"] --- # agent-control vs moby *GraphCanon updated Jul 15, 2026* ## Verdict Pick agent-control when agent-control is primarily Python; moby is Go; pick moby when moby is primarily Go; agent-control is Python. [agent-control](https://agentcontrol.dev) reports 275 GitHub stars, 43 forks, and 34 open issues, last pushed Jul 13, 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 [agent-control's repository](https://github.com/agentcontrol/agent-control) and [moby's repository](https://github.com/moby/moby). | | [agent-control](/tools/agentcontrol-agent-control.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 275 | 71,899 | | Forks | 43 | 19,126 | | Open issues | 34 | 3,821 | | Language | Python | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Inference & Serving, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-control](/tools/agentcontrol-agent-control.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Open issues (now) | 34 | 3.8k | | Full report | [trust report](/tools/agentcontrol-agent-control/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose agent-control if… - agent-control is primarily Python; moby is Go. - Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm. - Also covers AI Agents. ### Choose moby if… - moby is primarily Go; agent-control is Python. - Tags unique to moby: containers, docker, go, golang. - Also covers Developer Tools. ## When NOT to use agent-control - 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. ## 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 agent-control and moby? agent-control: Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.. 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 agent-control over moby? Choose agent-control over moby when agent-control is primarily Python; moby is Go; Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; Also covers AI Agents. ### When should I choose moby over agent-control? Choose moby over agent-control when moby is primarily Go; agent-control is Python; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools. ### When should I avoid agent-control? 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. ### 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 agent-control or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 275). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-control and moby open source? Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, moby: Apache-2.0). ### Where can I find alternatives to agent-control or moby? GraphCanon lists graph-backed alternatives at [agent-control alternatives](/tools/agentcontrol-agent-control/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([agent-control markdown twin](/tools/agentcontrol-agent-control/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/agentcontrol-agent-control-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-control or moby? agent-control: Very active. 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 agent-control and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-control trust report](/tools/agentcontrol-agent-control/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentcontrol-agent-control`](/api/graphcanon/graph?tool=agentcontrol-agent-control) - 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/_