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About

The world's largest open-source library of AI prompts for ChatGPT, Claude, Gemini, and other AI models. Browse thousands of curated prompts, contribute your own, and self-host for your organization with complete privacy.

What it does

Prompts Chat combines a searchable prompt collection with tools for running a branded internal library. People can browse, submit, categorize, and share prompts, while teams can configure authentication, private prompts, themes, languages, and optional AI features. Prompts also reach other tools through command-line, plugin, dataset, raw document, and MCP interfaces.

Why it's ranked here

Its strongest case is breadth beyond a static prompt list. The same project supports public discovery, organizational deployment, reusable data, education, and direct tool integration. The configuration surface is unusually practical for teams. That breadth brings meaningful operational weight, including a database, authentication, and a substantial web stack.

What's good

The self-hosted edition exposes concrete controls for branding, color, layout density, registration, authentication providers, languages, and individual features. PostgreSQL persistence supports a real shared collection rather than a folder of snippets. Prompts remain portable through CSV, Markdown-style documents, a hosted dataset, raw responses, and MCP. Automated tests and coverage commands are configured.

Tradeoffs

Self-hosting is not lightweight. It expects Node.js 24, PostgreSQL, dependency installation, schema generation, migrations, and seeding. Several optional capabilities require additional service configuration. Production browser monitoring enables session replay sampling, logging, trace sampling, and default personal-data transmission. Organizations promising strict privacy should audit and adjust that monitoring configuration before deployment.

How to use it well

Use it when a team needs a governed, searchable prompt commons that also feeds assistants and command-line workflows. Start with browsing and adapting existing prompts, then self-host when branding, access control, or private material matters. It teaches prompting, but it does not replace model hosting, evaluation infrastructure, or application-specific AI orchestration.

Technical notes+

The root package.json defines a private Next.js 16 and React 19 application, requires Node 24.x, uses Prisma with PostgreSQL, and provides Vitest test and coverage scripts. packages/prompts.chat/tsup.config.ts builds the TypeScript library as CommonJS and ESM with declarations and source maps, plus an ESM CLI with a Node shebang. src/proxy.ts rewrites .prompt.md and .prompt.yml URLs to raw API responses. src/lib/config/index.ts applies PCHAT_ runtime overrides for branding, themes, authentication, locales, and feature flags. src/lib/auth/index.ts builds NextAuth providers dynamically over a Prisma adapter. src/instrumentation-client.ts enables production Sentry tracing, logs, replay sampling, error replay, and sendDefaultPii.

Observed

License
MIT for source code and site-authored content; CC0 1.0 Universal for prompt content and data
Primary language
TypeScript, with Next.js and React for the web application
Install surface
Runs through npx for setup, CLI use, and the local MCP server; manual setup uses npm
Interfaces
Website, CLI, Claude Code plugin, remote or local MCP server, raw prompt URLs, CSV, and hosted dataset
Runtime and storage
Node.js 24.x and PostgreSQL through Prisma
Library packaging
CommonJS and ESM builds with TypeScript declarations and source maps

Read from README.md, package.json, src/proxy.ts, src/instrumentation.ts, src/instrumentation-client.ts, src/app/error.tsx, src/app/global-error.tsx, packages/prompts.chat/tsup.config.ts, packages/raycast-extension/raycast-env.d.ts, packages/raycast-extension/eslint.config.mjs, src/lib/auth/index.ts, src/lib/i18n/index.ts, src/lib/i18n/server.ts, src/lib/config/index.ts, src/lib/plugins/index.ts.

What it can do

  • Browse thousands of curated AI prompts

    Search query or category selectionList of relevant AI prompts for ChatGPT, Claude, Gemini, and other models

  • Contribute and submit custom AI prompts

    User-created prompt text and metadataPublished prompt in the open-source library

  • Self-host prompt library for organizations

    Organization's infrastructure and deployment configurationPrivate instance of the prompt library with complete data privacy

  • Search and filter prompts by AI model compatibility

    AI model type (ChatGPT, Claude, Gemini, etc.) and search criteriaFiltered list of compatible prompts for the specified AI model

  • Access prompt examples for specific use cases

    Use case category or task typeCurated prompt templates ready for use with AI chat models

Tags

promptschatgptaiclaudegeminiprompt-engineeringopen-sourcellm

Tech Stack

Node.jsNext.jsTypeScript

Media

Prompts Chat

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.