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README.md

Documentation

Complete documentation for understanding and using AutoResearch.

📚 Documentation Guide

For New Users

Start here in this order:

  1. ../README.md (5 min read)

    • What is AutoResearch?
    • Quick navigation
    • Key features overview
  2. ../CONCEPTS.md (20 min read)

    • Core ideas explained clearly
    • What is semantic linking?
    • What is constraint-theory validation?
    • What is cold storage?
    • What is flowstate mode?
  3. ../install/INSTALLATION_GUIDE.md (15 min setup)

    • Step-by-step installation
    • Configuration wizard walkthrough
    • Troubleshooting guide

For Understanding the System

Deep dives into architecture and design:

  1. ../ARCHITECTURE.md (60 min read)

    • 7-layer system architecture
    • Complete data flows
    • Integration with SuperInstance ecosystem
    • Fact-checking pipeline details
    • Cold storage system
  2. ../INTEGRATION_GUIDE.md (45 min read)

    • How to use each SuperInstance component
    • spreader-tool orchestration
    • murmur wiki integration
    • constraint-theory validation
    • spreadsheet-moment monitoring

For Operations

How to run and manage the system:

  1. ../install/README.md

    • Installation quick start
    • Configuration files generated
    • Environment validation
  2. ../config/README.md

    • Configuration file structure
    • Agent profiles (YAML)
    • Service templates (pre-commented)
    • Data retention policies
    • How to customize
  3. ../agents/README.md

    • Agent system overview
    • Running agents
    • Interacting with agents (chat, focus, priority)
    • Real-time monitoring
    • Creating custom agents
  4. ../docker/README.md

    • Docker setup and usage
    • Multi-service orchestration
    • GPU support configuration
    • Troubleshooting containers
  5. ../results/README.md

    • Understanding experiment results
    • Analyzing metrics
    • Knowledge graph exports
    • Podcast content generation
    • Data retention and cold storage

🗺️ Documentation Map

├── README.md                    # Start here!
├── CONCEPTS.md                  # Understand the ideas
├── ARCHITECTURE.md              # Technical deep dive
├── INTEGRATION_GUIDE.md         # Connect components
│
├── install/
│   ├── README.md               # Quick installation
│   └── INSTALLATION_GUIDE.md   # Detailed setup
│
├── config/
│   └── README.md               # Configuration guide
│
├── agents/
│   └── README.md               # Agent system
│
├── docker/
│   └── README.md               # Container deployment
│
├── results/
│   └── README.md               # Results and outputs
│
└── docs/
    └── README.md               # You are here

🎓 Learning Paths

Path 1: Quick Start (30 minutes)

Result: You have AutoResearch running!

Path 2: Understand the System (2 hours)

Result: You understand how everything works

Path 3: Advanced Deployment (4 hours)

Result: Enterprise-ready deployment

Path 4: Custom Research (varies)

Result: Autonomous research running 24/7

📖 Topic Index

Installation & Setup

Configuration

Running Research

Understanding the System

Results & Analysis

💬 Common Questions

How do I get started?

Answer: Start with ../README.md, then follow INSTALLATION_GUIDE.md

What are the system requirements?

Answer: See ../README.md - Python 3.10+, 8GB RAM, 250GB disk

How much does it cost?

Answer: Depends on API services:

  • OpenAI: ~$2-5/hour per agent
  • Local models (Ollama): Free
  • Anthropic: Similar to OpenAI

Can I use local models only?

Answer: Yes! See ../config/services/local-services.yaml

How do I customize agents?

Answer: See ../config/README.md

How long do experiments take?

Answer: Each experiment is exactly 5 minutes (fixed time budget)

Where are my results?

Answer: In results/experiments/ directory. See ../results/README.md

Can I run agents on my laptop?

Answer: Yes, but CPU-only mode is slow. See ../install/INSTALLATION_GUIDE.md

How do I integrate with GitHub wiki?

Answer: Configure in ../config/system.yaml or ../config/README.md

🔗 External Resources

AutoResearch Ecosystem

Tools & Services

Learning Resources

📝 Documentation Standards

All documentation follows these principles:

  • Clear: Use simple language, examples for complex concepts
  • Complete: Answer common questions, include troubleshooting
  • Current: Updated with latest features and best practices
  • Consistent: Same style and structure across all docs
  • Linked: Cross-references to related sections

🤝 Contributing Documentation

Help us improve documentation:

  1. Found an error? File an issue on GitHub
  2. Want to add clarification? Submit a PR
  3. Have a tutorial? Share it with the community
  4. Found a gap? Let us know what's missing

📋 Documentation Checklist

  • Main README - Start here
  • CONCEPTS - Core ideas explained
  • ARCHITECTURE - Technical design
  • INTEGRATION_GUIDE - SuperInstance integration
  • Install README - Quick reference
  • INSTALLATION_GUIDE - Detailed setup
  • Config README - Configuration guide
  • Agents README - Agent system
  • Docker README - Container setup
  • Results README - Results analysis
  • Docs README - This file

🎯 Next Steps

Choose your path:

New User? → Start with ../README.md

Ready to Install? → Follow ../install/INSTALLATION_GUIDE.md

Want to Understand? → Read ../CONCEPTS.md

Ready to Run? → See ../agents/README.md

Need Help? → Check documentation index above or file GitHub issue


Happy learning! 🚀

Last updated: March 17, 2026