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Getting Started with Mnemoverse ​

Welcome to the Mnemoverse project! Currently, we're in the documentation and research phase, building the intellectual foundation for a revolutionary approach to AI and knowledge systems. Here's how to get started exploring our vision and contributing to the project.

🎯 What is Mnemoverse? ​

Mnemoverse is a visionary project that reimagines artificial intelligence by moving beyond "flat" knowledge systems to living, evolving ecosystems of specialized AI agents operating in spatial environments. Think of it as creating a digital immune system for information.

📚 Start Your Journey ​

1. Understand the Vision ​

Begin with our core documents to grasp the fundamental concepts:

2. Explore the Research ​

Dive into our extensive research library:

3. Join the Documentation Effort ​

Help us build the knowledge base:

🔍 Using the Research Tools ​

Web Search Interface ​

Use the search bar at the top of any page to find relevant research across our entire library. The search supports:

  • Fuzzy matching - finds results even with typos
  • Topic-based queries - "hyperbolic neural networks", "multi-agent systems"
  • Author searches - find papers by specific researchers
  • Concept exploration - discover related ideas and connections

CLI Search Tool ​

For power users, we provide a command-line search interface:

bash
# Navigate to the docs directory
cd mnemoverse-docs

# Search the research library
npm run search "hyperbolic neural networks"

# Search with multiple terms
npm run search "multi-agent collective intelligence"

The CLI tool provides:

  • Colored output for easy reading
  • Source categorization (verified vs. raw sources)
  • Direct links to papers and articles
  • Context snippets from abstracts

🧭 Navigation Guide ​

Vision Section ​

  • Manifesto - The complete vision document with scientific foundations
  • Sources - Key papers and research that inspired the project

Research Section ​

  • Library - Comprehensive collection of research organized by topic
  • Search - Advanced search capabilities and tips

Guides Section ​

  • Getting Started - This guide
  • How to Contribute - Documentation contribution workflow

🎓 Learning Path ​

For Newcomers ​

  1. Start with the Manifesto to understand our vision
  2. Review Key Sources to see the scientific foundation
  3. Explore the Research Library to dive deeper
  4. Use Advanced Search to find specific topics

For Researchers ​

  1. Use the CLI search tool to quickly find relevant papers
  2. Explore the hyperbolic neural networks and multi-agent systems sections
  3. Check our biological intelligence and collective systems research
  4. Consider contributing new sources through our contribution workflow

For Contributors ​

  1. Read our Contribution Guide
  2. Set up the local development environment
  3. Start with small documentation improvements
  4. Propose new research areas or sources

🛠️ Development Environment ​

Prerequisites ​

  • Node.js 18+ for running the documentation site
  • Git for version control
  • Text editor (VS Code recommended)

Setup ​

bash
# Clone the repository
git clone https://github.com/mnemoverse/mnemoverse-docs.git
cd mnemoverse-docs

# Install dependencies
npm install

# Run the development server
npm run docs:dev
# or simply:
npm run dev

The documentation will be available at http://localhost:5173/docs/

Available Commands ​

bash
npm run docs:dev     # Start development server
npm run docs:build   # Build for production
npm run docs:preview # Preview production build
npm run search       # Use CLI search tool

📖 Documentation Standards ​

Writing Guidelines ​

  • English only - All content must be in clear, professional English
  • Markdown format - Use standard Markdown syntax
  • Academic tone - Professional but accessible language
  • Evidence-based - Support claims with research citations
  • Structured content - Use headings, lists, and clear organization

File Organization ​

  • Vision - High-level concepts and manifestos
  • Research - Academic papers, sources, and analysis
  • Guides - Practical instructions and tutorials
  • Legal - Terms, privacy, and compliance documents

🔬 Current Research Focus ​

Our research currently covers these key areas:

Core Technologies ​

  • Hyperbolic Neural Networks - Mathematical foundations for hierarchical knowledge
  • Multi-Agent Systems - Distributed intelligence architectures
  • GPU-Native Processing - High-performance computing for graph operations

Biological Inspiration ​

  • Immune System Intelligence - Distributed computation in biological systems
  • Collective Intelligence - How groups outperform individuals
  • Evolutionary Algorithms - Self-improving systems

Practical Applications ​

  • Knowledge Management - Better alternatives to current RAG systems
  • Research Acceleration - AI-assisted scientific discovery
  • Cost Optimization - 95% cost reduction compared to traditional approaches

🚀 Next Steps ​

Immediate Actions ​

  1. Read the Manifesto - Understand our core vision
  2. Explore the Research - Find areas that interest you
  3. Join the Discussion - Contribute to documentation or research

Medium-term Goals ​

  1. Contribute Research - Add new sources to our library
  2. Improve Documentation - Help make our vision more accessible
  3. Spread the Word - Share our vision with relevant communities

Long-term Vision ​

  1. Build Prototypes - Create working implementations
  2. Form Collaborations - Connect with researchers and institutions
  3. Evolve the Vision - Refine our approach based on new evidence

📞 Support & Community ​

Getting Help ​

  • GitHub Issues - Report bugs or request features
  • Documentation - Comprehensive guides and references
  • Research Library - Extensive collection of relevant papers

Contributing ​

  • Documentation - Improve guides, add content, fix errors
  • Research - Add new sources, analyze papers, identify gaps
  • Vision - Contribute to the intellectual development of the project

Contact ​

Ready to explore the future of knowledge systems? 🧠🔬✨

The Mnemoverse journey begins with understanding. Start with our vision, explore our research, and join us in building the next generation of intelligent systems.