--- title: "awesome vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sindresorhus-awesome-vs-wshobson-agents" tools: ["sindresorhus-awesome", "wshobson-agents"] --- # awesome vs agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics; 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. [awesome](https://github.com/sindresorhus/awesome) reports 492k GitHub stars, 36k forks, and 100 open issues, last pushed Jun 30, 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 [awesome's repository](https://github.com/sindresorhus/awesome) and [agents's repository](https://github.com/wshobson/agents). | | [awesome](/tools/sindresorhus-awesome.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | 😎 Awesome lists about all kinds of interesting topics | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 492,352 | 38,928 | | Forks | 36,224 | 4,145 | | Open issues | 100 | 5 | | Language | - | Python | | Adopt for | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | 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 | CC0-1.0 | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome](/tools/sindresorhus-awesome.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 34d | 1d | | Open issues (now) | 100 | 5 | | Stars delta | Unknown | +860 (30d) | | Open issues delta | Unknown | +2 (30d) | | Full report | [trust report](/tools/sindresorhus-awesome/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## 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 awesome if… - License: awesome is CC0-1.0, agents is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - When you need well-organized access to diverse technical subjects from IoT to robotics ### Choose agents if… - License: agents is MIT, awesome is CC0-1.0. - 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 awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## 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 awesome and agents? awesome: 😎 Awesome lists about all kinds of interesting topics. 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 awesome over agents? Choose awesome over agents when License: awesome is CC0-1.0, agents is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I choose agents over awesome? Choose agents over awesome when License: agents is MIT, awesome is CC0-1.0; 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 awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### 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 awesome or agents more popular on GitHub? awesome has more GitHub stars (492,352 vs 38,928). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome and agents open source? Yes - both are open-source projects on GitHub (awesome: CC0-1.0, agents: MIT). ### Where can I find alternatives to awesome or agents? GraphCanon lists graph-backed alternatives at [awesome alternatives](/tools/sindresorhus-awesome/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([awesome markdown twin](/tools/sindresorhus-awesome/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/sindresorhus-awesome-vs-wshobson-agents.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome or agents? awesome: Steady. 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 awesome and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome trust report](/tools/sindresorhus-awesome/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sindresorhus-awesome`](/api/graphcanon/graph?tool=sindresorhus-awesome) - 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/_