requirements.txt

# FALSIFY — dependencies
#
# The only hard requirement is Cognee (the self-hosted AI-memory platform this
# project is built on). Everything else is small tooling. Cognee itself pulls in
# LanceDB / Ladybug / SQLite / litellm, so there is no separate DB to install.

cognee>=0.1.0          # AI-memory platform: graph + vector + memify/forget APIs
fastembed>=0.3.0       # local, CPU-only embeddings (no API key needed for the demo)
python-dotenv>=1.0.0   # load .env configuration

# ── web UI (Feature F): FastAPI backend + SSE stream, no WebSocket dep ──
fastapi>=0.104.0       # async web framework serving the live UI + REST + SSE
uvicorn[standard]>=0.24.0  # ASGI server
python-multipart>=0.0.6    # multipart parsing for document upload (/api/upload)

# ── dev / test (optional: pip install -r requirements.txt already includes these) ──
pytest>=7.4.0
pytest-asyncio>=0.21.0