--- title: "agentsys vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-sh-agentsys-vs-wshobson-agents" tools: ["agent-sh-agentsys", "wshobson-agents"] --- # agentsys vs agents *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentsys if agentsys supports automation through AI agents that handle various coding environments with plugins and skills; 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. [agentsys](https://agent-sh.github.io/agentsys/) reports 985 GitHub stars, 115 forks, and 0 open issues, last pushed Sep 13, 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 [agentsys's repository](https://github.com/agent-sh/agentsys) and [agents's repository](https://github.com/wshobson/agents). | | [agentsys](/tools/agent-sh-agentsys.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | AI writes code to automate workflows and tasks | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 985 | 39,823 | | Forks | 115 | 4,246 | | Open issues | 0 | 12 | | Language | JavaScript | Python | | Adopt for | agentsys supports automation through AI agents that handle various coding environments with plugins and skills. | 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 | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentsys](/tools/agent-sh-agentsys.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 6d | 1d | | Open issues (now) | 0 | 12 | | Stars delta | +23 (30d) | +895 (30d) | | Open issues delta | 0 (30d) | +7 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agent-sh-agentsys/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Shared compatibility - **Cursor**: [agentsys](/tools/agent-sh-agentsys.md) - Works with Cursor; [agents](/tools/wshobson-agents.md) - Works with Cursor ## Decision facts: agentsys - **Pricing:** freemium - MIT licensed tool offers open access for free but may include premium plugins or skills. - **Requirements:** Min 2 GB RAM; Requires modern JavaScript environment to run effectively.; Ensure internet connectivity due to reliance on plugins and skills that may require update downloads or external API access for certain functionalities. - **Adopt for:** agentsys supports automation through AI agents that handle various coding environments with plugins and skills. ## 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 agentsys if… - agentsys is primarily JavaScript; agents is Python. - Pricing: MIT licensed tool offers open access for free but may include premium plugins or skills.. - Requirements: Min 2 GB RAM; Requires modern JavaScript environment to run effectively.; Ensure internet connectivity due to reliance on plugins and skills that may require update downloads or external API access for certain functionalities.. - Tags unique to agentsys: agent, ai, autonomous-agents, claude-code. - Use when you need to automate complex workflows in JavaScript-heavy projects, as it integrates well with JavaScript environments like Claude Code. ### Choose agents if… - agents is primarily Python; agentsys is JavaScript. - Tags unique to agents: agent-skills, agentic-ai, prompt-engineering, workflows. - 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 agentsys - Avoid for teams not proficient in JavaScript or those preferring languages where agentsys does not provide comparable support. - Do not use if your project scope is better served by competitors with more specialized skill sets that align closely with niche requirements, as opposed to the general utility approach of agentsys. ## 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 agentsys and agents? agentsys: AI writes code to automate workflows and tasks. 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 agentsys over agents? Choose agentsys over agents when agentsys is primarily JavaScript; agents is Python; Pricing: MIT licensed tool offers open access for free but may include premium plugins or skills.; Requirements: Min 2 GB RAM; Requires modern JavaScript environment to run effectively.; Ensure internet connectivity due to reliance on plugins and skills that may require update downloads or external API access for certain functionalities.; Tags unique to agentsys: agent, ai, autonomous-agents, claude-code; Use when you need to automate complex workflows in JavaScript-heavy projects, as it integrates well with JavaScript environments like Claude Code. ### When should I choose agents over agentsys? Choose agents over agentsys when agents is primarily Python; agentsys is JavaScript; Tags unique to agents: agent-skills, agentic-ai, prompt-engineering, workflows; 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 agentsys? Avoid for teams not proficient in JavaScript or those preferring languages where agentsys does not provide comparable support. Do not use if your project scope is better served by competitors with more specialized skill sets that align closely with niche requirements, as opposed to the general utility approach of agentsys. ### 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 agentsys or agents more popular on GitHub? agents has more GitHub stars (39,823 vs 985). Stars measure visibility, not whether either tool fits your constraints. ### Are agentsys and agents open source? Yes - both are open-source projects on GitHub (agentsys: MIT, agents: MIT). ### Where can I find alternatives to agentsys or agents? GraphCanon lists graph-backed alternatives at [agentsys alternatives](/tools/agent-sh-agentsys/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([agentsys markdown twin](/tools/agent-sh-agentsys/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/agent-sh-agentsys-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentsys or agents? agentsys: 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 agentsys and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentsys trust report](/tools/agent-sh-agentsys/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-sh-agentsys`](/api/graphcanon/graph?tool=agent-sh-agentsys) - 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/_