--- title: "awesome-chatgpt vs agents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/humanloop-awesome-chatgpt-vs-wshobson-agents" tools: ["humanloop-awesome-chatgpt", "wshobson-agents"] --- # awesome-chatgpt vs agents *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-chatgpt if awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions; 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. [awesome-chatgpt](https://github.com/humanloop/awesome-chatgpt) reports 8.2k GitHub stars, 551 forks, and 141 open issues, last pushed Oct 15, 2025. [agents](https://sethhobson.com) has 38k stars, 4.0k forks, and 1 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [awesome-chatgpt's repository](https://github.com/humanloop/awesome-chatgpt) and [agents's repository](https://github.com/wshobson/agents). | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Tagline | Curated list of resources for ChatGPT and GPT-3 from OpenAI | Multi-harness agentic plugin marketplace for various AI agents | | Stars | 8,209 | 37,779 | | Forks | 551 | 4,050 | | Open issues | 141 | 1 | | Language | - | Python | | Adopt for | Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions | 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 | | Categories | Developer Tools, Inference & Serving | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-chatgpt](/tools/humanloop-awesome-chatgpt.md) | [agents](/tools/wshobson-agents.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 268d | 2d | | Open issues (now) | 141 | 1 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/humanloop-awesome-chatgpt/trust.md) | [trust report](/tools/wshobson-agents/trust.md) | ## Decision facts: awesome-chatgpt - **Adopt for:** Awesome ChatGPT offers a curated list of tools, demos, documentation, and community resources for developers and enthusiasts to interact with the ChatGPT model and GPT-3 through various unofficial APIs, Chrome extensions ## 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-chatgpt if… - Tags unique to awesome-chatgpt: gpt-3, unofficial-api, cross-platform-access, chrome-extension. - Also covers Inference & Serving. - You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### Choose agents if… - Tags unique to agents: agent-skills, workflows, agentic-ai, 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-chatgpt - If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. - You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ## 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-chatgpt and agents? awesome-chatgpt: Curated list of resources for ChatGPT and GPT-3 from OpenAI. 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-chatgpt over agents? Choose awesome-chatgpt over agents when Tags unique to awesome-chatgpt: gpt-3, unofficial-api, cross-platform-access, chrome-extension; Also covers Inference & Serving; You need access to multiple unofficial APIs in different programming languages such as Python, JavaScript/TypeScript, Go, Dart, allowing broader integration options. ### When should I choose agents over awesome-chatgpt? Choose agents over awesome-chatgpt when Tags unique to agents: agent-skills, workflows, agentic-ai, 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-chatgpt? If you require a fully official SDK or API provided by OpenAI due to compliance requirements, since Awesome ChatGPT primarily features unofficial tools. You're looking for direct integrations with enterprise platforms like Slack/Discord bots which may be insufficiently supported in your specific business environment or not meet security standards. ### 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-chatgpt or agents more popular on GitHub? agents has more GitHub stars (37,779 vs 8,209). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-chatgpt and agents open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-chatgpt or agents? GraphCanon lists graph-backed alternatives at [awesome-chatgpt alternatives](/tools/humanloop-awesome-chatgpt/alternatives) and [agents alternatives](/tools/wshobson-agents/alternatives) ([awesome-chatgpt markdown twin](/tools/humanloop-awesome-chatgpt/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/humanloop-awesome-chatgpt-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-chatgpt or agents? awesome-chatgpt: 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 awesome-chatgpt and agents? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-chatgpt trust report](/tools/humanloop-awesome-chatgpt/trust); [agents trust report](/tools/wshobson-agents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=humanloop-awesome-chatgpt`](/api/graphcanon/graph?tool=humanloop-awesome-chatgpt) - 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/_