cognee
https://github.com/topoteretes/cognee
Python
Memory for AI Agents in 5 lines of code
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- Issues
- feat(retrieval): scope lexical chunk search to node sets
- Fix/4632 graph model config
- chore(alembic): enforce generated, unique, filename-matched revision ids
- fix(retrieval): thread live node schemas into NL Cypher-generation prompt
- fix(graph): dedup skeleton neighbours by id set, not O(D^2) list scan
- Graph projection is quadratic in node degree (`add_skeleton_neighbor` scans a list)
- fix(workers): close the Linux parent-death spawn-window race that orphans DB workers holding locks
- [Bug]: RAG personalization never widens the fetch for CompletionRetriever, so weights can only reorder
- [Bug]: NATURAL_LANGUAGE never sees node labels — node schemas are computed then dropped before the prompt
- [Docs]: TRIPLET_COMPLETION requires the create_triplet_embeddings memify pipeline, which the search-type docs do not mention
- Docs
- Python not yet supported