
An open-source framework for augmenting humans using AI
Fabric is an open-source AI augmentation framework that organizes crowdsourced AI prompts called Patterns into a modular system for solving real-world tasks. It provides a CLI, REST API, and web interface connecting to 25+ AI providers, letting users pipe content through purpose-built prompts for summarization, analysis, code review, and more.
Crowdsourced collection of purpose-built AI prompts for specific tasks like summarization, essay writing, code explanation, and content extraction
Connects to 25+ AI providers including OpenAI, Anthropic, Google, Ollama, Azure, AWS Bedrock, and any OpenAI-compatible endpoint
Unix-philosophy design allowing users to pipe content through AI patterns from the command line and chain commands together
Built-in API server with Swagger documentation and a web interface for non-CLI users
Users can create, share, and manage their own patterns tailored to specific workflows
Can process YouTube video transcripts, web pages, and other online content directly via URL input
Works with local models via Ollama, allowing fully private and offline AI processing
Summarize lengthy articles, research papers, YouTube videos, and podcasts into structured key points and actionable takeaways
Analyze vulnerability reports, extract threat intelligence, and review code for security issues
Draft essays, create social media posts, extract article wisdom, and generate structured content using proven prompt patterns
Explain complex code, review pull requests, generate documentation, and create coding tutorials from source files
Text-to-speech, speech-to-text, and image generation capabilities built in
Full containerization support for easy self-hosted deployment
Extract and organize insights from consumed content into structured personal knowledge bases

AI-powered SQL client that turns natural language into database queries