Introduce x-logging anchor with json-file driver, size/file caps, and
container name tagging so Alloy on puck can reliably tail every service
through the Docker socket. Apply to all services and inject
MNEMOSYNE_COMPONENT env vars (init/app/mcp/worker) for consistent log
attribution both
- Extend library list endpoint with `include_workspace` and
`with_item_count` query params to support Daedalus registry mirroring
- Expand search scope clause to three modes: workspace-only, workspace
plus allowed user libraries, and global
- Add `allowed_libraries` field to SearchRequest for Phase-2 JWT claims
- Introduce JWT-based actor resolution using a synthetic service user
(`MCP_JWT_SERVICE_USERNAME`) for Daedalus-originated requests
Adds a complete deployment surface for production:
Dockerfile multi-stage 3.12-slim build, collectstatic
baked into the image, runs as non-root mnemosyne
uid/gid 1000.
docker/entrypoint.sh dispatches `web | mcp | worker | beat | migrate
| setup | shell` from a single image, so every
service in compose runs the same artifact.
docker-compose.yaml five services: static-init (one-shot copies
statics into the shared volume on every up),
web (gunicorn), mcp (uvicorn), worker (celery),
nginx. External services (Postgres, Neo4j,
RabbitMQ, S3, Memcached, embedder, reranker)
reached over the 10.10.0.0/24 internal network
and configured via mnemosyne/.env.
nginx/mnemosyne.conf reverse proxy: /library/* and /admin/* → web,
/mcp/* → mcp, /static/* → volume, /metrics
internal-network-only (127/8 + RFC1918), /healthz
proxies to /mcp/health for liveness probes.
.gitea/workflows/ CVE scan + image build, image pushed to
git.helu.ca/r/mnemosyne. Trivy scans pyproject
extras (dev/test/lint/docs) and the built image.
pyproject.toml adds [test], [lint], [docs] extras so the CI
pip-compile step has something to resolve.
README documents the bring-up flow (`docker compose run --rm web migrate`,
then `setup`, then `up -d`), day-to-day commands, and the env-var values
that need adjusting for production (DEBUG=False, KVDB_LOCATION pointing
at the external memcached, AWS keys filled in, etc.).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Remove Phase 4 RAG pipeline in favor of retrieval-only architecture
- Add FastMCP server exposing search, get_chunk, list_libraries tools
- Mount MCP endpoints (streamable HTTP + SSE) via Starlette in ASGI config
- Update README to clarify Mnemosyne is a retrieval engine, not RAG
- Let calling LLMs drive synthesis and iterative retrieval themselves
- Implemented custom form widgets for date, time, and datetime fields with DaisyUI styling.
- Created utility functions for formatting dates, times, and numbers according to user preferences.
- Developed views for profile settings, API key management, and notifications, including health check endpoints.
- Added URL configurations for Themis tests and main application routes.
- Established test cases for custom widgets to ensure proper functionality and integration.
- Defined project metadata and dependencies in pyproject.toml for package management.
