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Mnemoverse Documentation ​

Production-ready cognitive infrastructure for AI agents - persistent memory systems, universal tool orchestration, and agent coordination through MCP.

� What's in This Documentation ​

This documentation covers the complete Mnemoverse project - from production MCP servers to theoretical research foundations.

SectionStatusDescription
� MCP Servers✅ ProductionReady-to-use servers published to npm
� Implementation Guides✅ CompleteStep-by-step setup and usage instructions
� Research Library✅ ActiveScientific foundations and curated sources
�️ Vision & Theory✅ CompleteTheoretical framework and long-term vision

🚀 Production Ready ​

MCP Servers (Live on npm) ​

Research Infrastructure ​

  • Curated research library with AI-powered knowledge management
  • Multi-layer agent memory with SQL, Vector, and Graph APIs
  • Universal tool proxy for coordinated development workflows

🎯 Quick Start ​

For Developers:

bash
npx @mnemoverse/mcp-docs-server

→ Full MCP Setup Guide

For Researchers:
→ Explore Research Library

For Vision & Philosophy:
→ Read About Mnemoverse

� Documentation Structure ​

� MCP Integration ​

Model Context Protocol implementation

  • MCP server setup and configuration
  • Integration with VS Code, Cursor, and other editors
  • Local testing and development workflows
  • Production deployment guides

� Implementation Guides ​

Practical setup and usage

  • Getting started with Mnemoverse
  • Contributing to the project
  • Search and discovery features
  • Development workflows

� Research ​

Scientific foundations and data

  • Mathematical theory of spatial memory
  • Experimental protocols and validation methods
  • Memory solutions landscape analysis
  • Curated research library with AI librarian access

👁️ Vision ​

Project philosophy and long-term direction

  • Complete theoretical framework and manifesto
  • Spatial memory design principles
  • Foundational sources and inspirations
  • Strategic roadmap and future goals

� Documentation Development Plan ​

Current (2025):

  • ✅ MCP Server Documentation - Complete setup and usage guides
  • ✅ Research Library - Integrated with AI librarian for semantic search
  • ✅ Implementation Guides - Step-by-step tutorials and workflows

Near-term (Q1-Q2 2025):

  • 🔄 Interactive Examples - Live demos and code playgrounds
  • 🔄 Video Tutorials - Walkthrough guides for complex setups
  • 🔄 API Documentation - Complete reference for agent memory systems

Ongoing:

  • 📝 Community Contributions - User-generated guides and use cases
  • 📝 Multilingual Support - Documentation in multiple languages
  • 📝 Advanced Tutorials - Complex multi-agent orchestration examples

🤝 Contributing to Documentation ​

We welcome contributions to improve and expand this documentation:

Ready to start? Choose your path above or read our complete vision. 🚀