Cognee vs Graphiti

Pick two tools from the same category to compare side-by-side.

	Cognee Open-source memory platform that gives AI agents persistent long-term memory via combined knowledge graphs and vector embeddings.	Graphiti Open-source temporal knowledge-graph framework from Zep for building agent memory.
Category	memory	memory
Vendor type	hybrid	hybrid
Pricing	freemium	freemium
Strengths	+ Combines graph and vector storage for relationship-aware retrieval beyond similarity search + Provenance tracking on ingested context from files, APIs, and databases + First-party integrations with agent tooling (Claude Code, LangGraph, MCP server) + Pluggable backends for graph, vector, and relational storage	+ Bi-temporal model tracks when facts became true and when they changed + Hybrid retrieval across semantic, keyword, and graph traversal + Incremental episodic updates without full graph recomputation + Open source with a managed Zep platform for enterprise scale
Tradeoffs	− LLM-driven graph construction adds cost and latency to the ingestion pipeline − Younger project with a fast-moving API surface compared to mature retrieval stores − Graph-plus-vector architecture introduces more moving parts than a plain vector memory	− Requires running a supported graph database backend − Graph-based memory adds modeling complexity over simple vector stores − LLM calls for entity extraction add ingestion cost and latency
Used in stacks	0	0