Data Science & Analytics
Cognee
Use this skill whenever the user asks about Cognee, AI memory, persistent agent memory, self-improving agents, agents learning from feedback, knowledge graphs, graph-based RAG, long-term memory for agents, short-term memory for agents, personalization, personas, temporal search, temporal knowledge graphs, ontology-based extraction, ontology grounding, feedback, Cypher search, natural-language graph search, chunk search, RAG search, cross-session memory, session feedback, feedback loops, session based memory, redis based memory, knowledge promotion. Also use when the user describes the workflow such as: "turn documents into a knowledge graph", "build memory from files", "search my graph", "extract entities and relations", "sync data into a graph", "update graph memory", "store memories for an agent", "help my agent learn over time", "visualize a knowledge graph built from documents", "let the agent learn", "adaptive agents", "personalized agents", "session based personalization", "find important ontologies", "find custom pydantic models", "isolate agentic behaviour", "add permission control to retrieval", "reduce context bloating".
- Publisher / source
- topoteretes/cognee (found on the CSV list)
- Upstream record
- topoteretes/cognee
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
114b1d81582d55333f15bbd88f62b12906a7c4604c7124ef66307ad5fe7255b7