Think Bigger - Advanced Second Brain PKM System

A comprehensive Personal Knowledge Management system with AI-powered agents, knowledge graphs, and intelligent content processing.

Features

• Multi-Domain Knowledge Organization: Structured knowledge domains with consistent templates
• AI Agent Integration: Dana language runtime for custom automation
• Knowledge Graphs: Neo4j-powered relationship mapping
• Intelligent Search: Semantic search with embeddings
• File System Integration: Real-time monitoring and processing
• Extensible Architecture: Plugin system for custom integrations

Quick Start

1. Install dependencies:

uv sync

2. Set up configuration:

cp .config/think_bigger/config.json config/local.json
# Edit config/local.json with your settings

3. Run the development server:

uv run uvicorn src.api.main:app --reload

Project Structure

think_bigger/
├── src/
│   ├── core/          # Core system components
│   ├── agents/        # AI agent management
│   ├── processing/    # Content processing pipelines
│   ├── api/           # FastAPI application
│   └── ui/            # Frontend components (future)
├── tests/             # Test suite
├── docs/              # Documentation
├── scripts/           # Utility scripts
└── config/            # Configuration files

Development

Setup

# Install dependencies
uv sync

# Install pre-commit hooks
uv run pre-commit install

# Run tests
uv run pytest

# Format code
uv run black src/
uv run isort src/

Key Components

• File Monitor: Cross-platform file system watching
• Content Processor: Document parsing and chunking
• Embedding Service: Vector generation for semantic search
• Knowledge Graph: Relationship storage and querying
• Agent Runtime: Dana language execution environment

Configuration

The system uses a hierarchical configuration system:

1. .config/think_bigger/config.json - Global defaults
2. config/local.json - Local overrides
3. Domain-specific configs in each domain's _meta/ directory

Contributing

This project follows subagent-driven development principles. Use the appropriate agent for your task:

• explore: Codebase analysis and discovery
• code-task-executor: Isolated coding tasks
• testing-agent: Automated testing
• documentation-updater: Documentation maintenance

License

MIT License - see LICENSE file for details.