Documentation Index
Complete guide to all Spritz documentation.
🚀 Getting Started
- Introduction: Overview of Spritz and its features
- Getting Started: Installation, setup, and first steps
- Developer Installation: Technical setup guide for developers
🤖 AI Agents
- AI Agents Overview: Creating and managing AI agents
- RAG Technical Details: Knowledge base deep dive
- MCP Servers: Extending agents with external tools
- x402 Monetization: Monetizing your agents
📹 Livestreaming
- Livestreaming Guide: Broadcasting live video
- Technical Deep Dive: WebRTC, HLS, architecture
📚 User Guides
Communication
- Messaging: Decentralized messaging with Logos Messaging
- Video Calls: HD video and voice calls
- Groups: Group chats and calls
- Channels: Public community channels
Social
- Friends: Friend management and social features
- Profile & Settings: Profile customization
Productivity
- Calendar & Scheduling: Google Calendar integration
Administration
- Admin Guide: Administrative features
🔌 API Reference
- API Overview: Introduction to the API
- Complete API Reference: All endpoints overview
- Agents API: Detailed agent endpoints
- Streaming API: Livestreaming endpoints
🤖 For AI Agents & LLMs
- llms.txt: Machine-readable API reference for AI agents — base URL, authentication flow, all major endpoints, request/response patterns, x402 paid chat, and links to full docs. Use this file so your agent can reliably call Spritz APIs.
🔗 Integrations
- Alien Integration: Alien SSO and Mini App authentication
- POAP Channels: Token-gated community channels
- Encrypted Media: End-to-end encrypted images and voice memos
🏗️ Architecture & Development
- Architecture Overview: System design and architecture
- Database Schema: Complete database reference
- Developer Installation: Technical setup and deployment
❓ Reference
- FAQ: Frequently asked questions
📖 Documentation by Topic
For Users
- Getting Started
- User Guides (all)
- FAQ
For Developers
- Getting Started
- API Reference (all)
- Architecture Overview
- Database Schema
- Repository Analysis
For AI Agent Creators
- AI Agents Overview
- RAG Technical Details
- MCP Servers
- x402 Monetization
- Agents API
For Integrators
- Complete API Reference
- Agents API
- Streaming API
- Alien Integration (SSO & Mini App)
- Architecture Overview
🔍 Quick Links
- Live App: app.spritz.chat
- GitHub Repository: Spritz-Labs/spritz
- Issues: GitHub Issues
- Support: connect@spritz.chat
For AI Agents & LLMs
Machine-readable API reference: llms.txt — base URL, authentication, all major endpoints, request/response patterns, x402 paid chat, and links to full docs. Use this file so your agent can reliably call Spritz APIs.