cognee
https://github.com/topoteretes/cognee
Python
Memory for AI Agents in 5 lines of code
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- Issues
- 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
- fix(retrieval): widen the fetch when wide_search_top_k is unset
- [Bug]: cognee.config.set_graph_model() is inert — graph extraction ignores the configured model
- feat: Presort folder pre-organization + JSON graph-model DSL (COG-6281)
- Feature/sdk 435 expand consolidate entity descriptions with type summaries
- fix: stabilize Cognee CI workflows
- Feature/sdk 385 update serve on sdk side and migrate all integrations to the
- Docs
- Python not yet supported