--- title: "awesome-prompts vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-boost-awesome-prompts-vs-wshobson-agents" tools: ["ai-boost-awesome-prompts", "wshobson-agents"] --- # awesome-prompts vs agents *GraphCanon updated Aug 19, 2026* ## Verdict Pick awesome-prompts if awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers; 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-prompts](https://awesomegpt.vip) reports 8.4k GitHub stars, 798 forks, and 35 open issues, last pushed Jul 11, 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-prompts's repository](https://github.com/ai-boost/awesome-prompts) and [agents's repository](https://github.com/wshobson/agents). | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Curated chatgpt prompts and advanced prompt engineering papers | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 8,440 | 38,928 | | Forks | 798 | 4,145 | | Open issues | 35 | 5 | | Language | - | Python | | Adopt for | awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. | 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 | GPL-3.0 | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-prompts](/tools/ai-boost-awesome-prompts.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 35 | 5 | | Stars delta | Unknown | +860 (30d) | | Open issues delta | Unknown | +2 (30d) | | Full report | [trust report](/tools/ai-boost-awesome-prompts/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: awesome-prompts - **Adopt for:** awesome-prompts is a collection of rated GPT prompts from the GPTs Store with a focus on engineering, attacks, protections, and academic papers. ## 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-prompts if… - License: awesome-prompts is GPL-3.0, agents is MIT. - Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-protect. - Need detailed prompt engineering resources ### Choose agents if… - License: agents is MIT, awesome-prompts is GPL-3.0. - Tags unique to agents: agent-skills, agentic-ai, automation, workflows. - 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-prompts - Seeking a platform for generating new prompts rather than reviewing existing ones - In search of direct support tools or services, not just informational content - Requiring real-time collaboration on prompt creation and experimentation ## 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-prompts and agents? awesome-prompts: Curated chatgpt prompts and advanced prompt engineering papers. 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-prompts over agents? Choose awesome-prompts over agents when License: awesome-prompts is GPL-3.0, agents is MIT; Tags unique to awesome-prompts: awesome-list, chatgpt, prompt-attack, prompt-protect; Need detailed prompt engineering resources. ### When should I choose agents over awesome-prompts? Choose agents over awesome-prompts when License: agents is MIT, awesome-prompts is GPL-3.0; Tags unique to agents: agent-skills, agentic-ai, automation, workflows; 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-prompts? Seeking a platform for generating new prompts rather than reviewing existing ones In search of direct support tools or services, not just informational content Requiring real-time collaboration on prompt creation and experimentation ### 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-prompts or agents more popular on GitHub? agents has more GitHub stars (38,928 vs 8,440). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-prompts and agents open source? Yes - both are open-source projects on GitHub (awesome-prompts: GPL-3.0, agents: MIT). ### Where can I find alternatives to awesome-prompts or agents? GraphCanon lists graph-backed alternatives at [awesome-prompts alternatives](/tools/ai-boost-awesome-prompts/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([awesome-prompts markdown twin](/tools/ai-boost-awesome-prompts/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/ai-boost-awesome-prompts-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-prompts or agents? awesome-prompts: 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 awesome-prompts and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-prompts trust report](/tools/ai-boost-awesome-prompts/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-boost-awesome-prompts`](/api/graphcanon/graph?tool=ai-boost-awesome-prompts) - 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/_