Welcome to Bike4Mind Documentation 🚀
Your bicycle for the mind in the age of AI. Bike4Mind is an open-core AI knowledge platform - a multi-model workspace where notebooks, autonomous agents, and a RAG knowledge engine work together to augment any cognitive task.
🎯 What is Bike4Mind?
- 🤖 Multi-LLM by design - swap freely between Anthropic, OpenAI, Google Gemini, xAI, and local models via Ollama, plus image models
- 🧠 Intelligent Agents - autonomous ReAct-style agents for complex workflows
- ⚔️ Quest Master - autonomous multi-step task planning with human-in-the-loop steps
- 📚 Knowledge Engine - RAG over your documents: smart chunking, vector search, collections, and tagging
- 🎨 Artifacts - reusable snippets, documents, and visualizations produced by agents
- 🔧 Developer Tools - REST APIs, a CLI, and integration frameworks
Try the hosted service at app.bike4mind.com, or run the open core yourself - see Self-Hosting.
📖 Documentation Sections
🚀 Getting Started
New to Bike4Mind? Start here for setup and basic concepts.
🏠 Self-Hosting
Run the open core on your own hardware with Docker Compose, or deploy to your own AWS account.
→ Self-Host Quickstart · → AWS Deployment Guide
✨ Features
Notebooks, Quest Master, knowledge management, artifacts, integrations, and more.
🤖 AI Agents
Build and run autonomous agents against your tools and knowledge.
📡 API Documentation
REST API reference, authentication, and integration examples.
💻 CLI
Use Bike4Mind from your terminal, including sandboxed code execution and MCP integrations.
🧭 Quick Start Paths
- Self-host the stack - bring it up locally with Docker Compose
- Create your first agent - build an AI agent in minutes
- Explore the features - discover what's possible
- Join the community - GitHub Discussions
Ready to enhance your mind with AI? Jump into the Getting Started Guide to begin your journey! 🚴♂️✨