The world's largest open-source prompt library for AI, compatible with ChatGPT, Claude, Gemini, and more.
Prompts.chat is an open-source library and platform that curates and shares effective prompt examples for AI chat models like ChatGPT, Claude, and Gemini. It solves the problem of discovering and crafting high-quality prompts by providing a community-driven repository that helps users get better results from AI assistants. The project also includes educational resources to teach prompt engineering techniques.
AI enthusiasts, prompt engineers, developers integrating AI into applications, educators teaching AI literacy, and organizations wanting to build private prompt libraries for their teams.
Developers choose Prompts.chat because it offers the largest open-source collection of tested prompts, supports self-hosting for privacy and customization, and provides multiple integration options (CLI, plugins, MCP) that fit seamlessly into existing workflows.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
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Boasts the largest open-source prompt library with 143k+ GitHub stars and automatic sync from community contributions, ensuring a wide range of use cases.
Explicitly works with ChatGPT, Claude, Gemini, Llama, Mistral, and more, making it versatile across different AI assistants without lock-in.
Offers private deployment with custom branding, themes, and authentication via a setup wizard and Docker, catering to organizational privacy needs.
Includes a free interactive book on prompt engineering and a game-based learning tool for kids, going beyond just a prompt repository to teach skills.
Provides CLI, Claude plugin, and MCP server integrations, allowing seamless use in developer workflows as documented in the README.
Relies on community contributions without built-in validation or rating systems, leading to potential variability in effectiveness and reliability.
Requires technical setup with Node.js, npm, and optional Docker, which can be complex for non-developers despite the provided wizard.
Focuses on static prompt storage without native support for prompt versioning, A/B testing, or direct AI model fine-tuning integrations.