--- title: "doit vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pydoit-doit-vs-wshobson-agents" tools: ["pydoit-doit", "wshobson-agents"] --- # doit vs agents *GraphCanon updated Sep 20, 2026* ## Verdict Pick doit if doit offers Python-native task automation with file dependency tracking, enabling incremental builds; 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. [doit](http://pydoit.org) reports 2.1k GitHub stars, 195 forks, and 95 open issues, last pushed Feb 12, 2026. [agents](https://sethhobson.com) has 40k stars, 4.2k forks, and 12 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [doit's repository](https://github.com/pydoit/doit) and [agents's repository](https://github.com/wshobson/agents). | | [doit](/tools/pydoit-doit.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | CLI task management and automation tool | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 2,084 | 39,823 | | Forks | 195 | 4,246 | | Open issues | 95 | 12 | | Language | Python | Python | | Adopt for | doit offers Python-native task automation with file dependency tracking, enabling incremental builds. | 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 | MIT | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [doit](/tools/pydoit-doit.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 216d | 1d | | Open issues (now) | 95 | 12 | | Stars delta | +7 (30d) | +895 (30d) | | Open issues delta | +1 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/pydoit-doit/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: doit - **Adopt for:** doit offers Python-native task automation with file dependency tracking, enabling incremental builds. ## 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 doit if… - Tags unique to doit: build-automation, data-science, task-runner, workflow-management. - For developers who prefer defining tasks in pure Python. ### Choose agents if… - 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 doit - If you need a tool that supports languages other than Python. - When the project requires a more GUI-oriented task manager interface. - For teams preferring YAML or DSL over Python for task definition. ## 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 doit and agents? doit: CLI task management and automation tool. 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 doit over agents? Choose doit over agents when Tags unique to doit: build-automation, data-science, task-runner, workflow-management; For developers who prefer defining tasks in pure Python. ### When should I choose agents over doit? Choose agents over doit when 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 doit? If you need a tool that supports languages other than Python. When the project requires a more GUI-oriented task manager interface. For teams preferring YAML or DSL over Python for task definition. ### 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 doit or agents more popular on GitHub? agents has more GitHub stars (39,823 vs 2,084). Stars measure visibility, not whether either tool fits your constraints. ### Are doit and agents open source? Yes - both are open-source projects on GitHub (doit: MIT, agents: MIT). ### Where can I find alternatives to doit or agents? GraphCanon lists graph-backed alternatives at [doit alternatives](/tools/pydoit-doit/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([doit markdown twin](/tools/pydoit-doit/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/pydoit-doit-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, doit or agents? doit: Slowing. 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 doit and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [doit trust report](/tools/pydoit-doit/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pydoit-doit`](/api/graphcanon/graph?tool=pydoit-doit) - 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/_