REM (Resources-Entities-Moments) memory system for Percolate - privacy-first personal AI infrastructure
Project description
Percolate Python Package
Python implementation of Percolate - the API server, agent runtime, and orchestration layer.
Structure
percolate/
├── src/percolate/ # Main package
│ ├── api/ # FastAPI server
│ ├── auth/ # OAuth 2.1 authentication
│ ├── agents/ # Agent-let runtime
│ ├── memory/ # REM database interface (wraps Rust)
│ ├── parsers/ # Document parsing orchestration
│ ├── mcp/ # Model Context Protocol server
│ ├── cli/ # Command-line interface
│ ├── otel/ # OpenTelemetry instrumentation
│ └── settings.py # Configuration
├── tests/ # Test suite
│ ├── unit/ # Unit tests
│ └── integration/ # Integration tests
└── pyproject.toml # Project configuration
Development
Setup
# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create virtual environment and install dependencies
cd percolate
uv venv
source .venv/bin/activate # or `.venv\Scripts\activate` on Windows
uv pip install -e ".[dev]"
Running
# Start API server
uv run percolate serve
# CLI commands
uv run percolate --help
Testing
# Run all tests
uv run pytest
# Run with coverage
uv run pytest --cov=percolate --cov-report=html
# Run specific test
uv run pytest tests/unit/agents/test_factory.py -v
Code Quality
# Format code
uv run black src tests
# Lint
uv run ruff check src tests
# Type check
uv run mypy src
Dependencies
This package depends on percolate-core (Rust) for:
- REM memory engine
- Vector embeddings
- Document parsing (fast path)
- Cryptographic operations
See ../percolate-core/ for Rust implementation.
Project details
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