---
title: "moby vs agents"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-wshobson-agents"
tools: ["moby-moby", "wshobson-agents"]
---

# moby vs agents

*GraphCanon updated Aug 19, 2026*

## Verdict

Pick moby if moby is a collaborative endeavor for developing tools and components in the container ecosystem; pick agents if the agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot.

[moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.9k open issues, last pushed Jul 31, 2026. [agents](https://sethhobson.com) has 39k stars, 4.1k forks, and 5 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [agents's repository](https://github.com/wshobson/agents).

| | [moby](/tools/moby-moby.md) | [agents](/tools/wshobson-agents.md) |
| --- | --- | --- |
| Tagline | A collaborative project for container ecosystem | Multi-harness agentic plugin marketplace for various AI agents |
| Stars | 71,952 | 38,928 |
| Forks | 19,112 | 4,145 |
| Open issues | 3,856 | 5 |
| Language | Go | Python |
| Adopt for | Moby is a collaborative endeavor for developing tools and components in the container ecosystem. | The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot |
| Persona | - | - |
| Runtime | - | - |
| License | The Apache License, Version 2.0 allows for the use, distribution, and modification under certain conditions. | MIT |
| Categories | Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [moby](/tools/moby-moby.md) | [agents](/tools/wshobson-agents.md) |
| --- | --- | --- |
| Days since push | 2d | 1d |
| Open issues (now) | 3.9k | 5 |
| Stars delta | Unknown | +860 (30d) |
| Open issues delta | Unknown | +2 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/wshobson-agents/trust.md) |

## Decision facts: moby

- **Requirements:** Your use of Moby may be subject to U.S. export laws; ensure compliance with applicable regulations.
- **Adopt for:** Moby is a collaborative endeavor for developing tools and components in the container ecosystem.
- **License detail:** The Apache License, Version 2.0 allows for the use, distribution, and modification under certain conditions.

## Decision facts: agents

- **Adopt for:** The agents tool is a marketplace for plugins that enhances multiple AI agents, offering integration and management capabilities across several platforms, including Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot

## Choose when

### Choose moby if…

- moby is primarily Go; agents is Python.
- License: moby is Apache-2.0, agents is MIT.
- Requirements: Your use of Moby may be subject to U.S. export laws; ensure compliance with applicable regulations..
- Tags unique to moby: containers, docker, go.
- moby ships Docker support for self-hosted deployment.
- If you seek to assemble open-source container-based systems independently of commercial Docker support offerings

### Choose agents if…

- agents is primarily Python; moby is Go.
- License: agents is MIT, moby is Apache-2.0.
- Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering.
- Also covers AI Agents.
- You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments

## When NOT to use moby

- For users needing guaranteed enterprise or commercial support for their products as Moby offers no official support beyond community assistance
- If your project is reliant on the stability and specific features of versioned Docker products; Moby focuses on open-source code development rather than product-level features

## When NOT to use agents

- You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support
- Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem

## Common questions

### What is the difference between moby and agents?

moby: A collaborative project for container ecosystem. agents: Multi-harness agentic plugin marketplace for various AI agents. See the comparison table for live GitHub stats and shared categories.

### When should I choose moby over agents?

Choose moby over agents when moby is primarily Go; agents is Python; License: moby is Apache-2.0, agents is MIT; Requirements: Your use of Moby may be subject to U.S. export laws; ensure compliance with applicable regulations.; Tags unique to moby: containers, docker, go; moby ships Docker support for self-hosted deployment; If you seek to assemble open-source container-based systems independently of commercial Docker support offerings.

### When should I choose agents over moby?

Choose agents over moby when agents is primarily Python; moby is Go; License: agents is MIT, moby is Apache-2.0; Tags unique to agents: agent-skills, agentic-ai, automation, prompt-engineering; Also covers AI Agents; You are working specifically within the ecosystems of Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, or Gemini CLI, as it provides tailored plugins for these environments.

### When should I avoid moby?

For users needing guaranteed enterprise or commercial support for their products as Moby offers no official support beyond community assistance If your project is reliant on the stability and specific features of versioned Docker products; Moby focuses on open-source code development rather than product-level features

### When should I avoid agents?

You are working solely within a niche environment that isn't one of the supported platforms (like Claude Code, Codex CLI, etc.) because it may not offer compatible plugins or extensive support Your project requirements do not include interoperability between multiple AI agents and you only need to leverage functionalities from a single AI agent with a robust in-built plugin ecosystem

### Is moby or agents more popular on GitHub?

moby has more GitHub stars (71,952 vs 38,928). Stars measure visibility, not whether either tool fits your constraints.

### Are moby and agents open source?

Yes - both are open-source projects on GitHub (moby: Apache-2.0, agents: MIT).

### Where can I find alternatives to moby or agents?

GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [agents markdown twin](/tools/wshobson-agents/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-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, moby or agents?

moby: Very active. agents: 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 agents?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [agents trust report](/tools/wshobson-agents/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/_
