cognee
https://github.com/topoteretes/cognee
Python
Memory for AI Agents in 5 lines of code
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- Issues
- feat(databases): add HelixDB as a unified graph + vector backend
- refactor: remove unused notebook code
- feat(session): session-context guidance layer (MVP)
- test(api): ratchet guard against router⇄core type-contract regressions
- chore(deps): bump the uv group across 2 directories with 6 updates
- test(search): regression guard for multi-dataset result aggregation (#2617)
- fix(deps): drop vulnerable diskcache; JSON/SQLite session cache (#2957)
- fix(api): correct DTO types in configuration & datasets routers
- fix(api): backfill PipelineRunInfo response_model on pipeline endpoints + memify data default
- fix(api): backfill response_model on agents + sessions routers
- Docs
- Python not yet supported