Cognee vs Letta

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.	Letta Stateful agent memory framework (formerly MemGPT); core+archival tiers.
Category	memory	memory
Vendor type	hybrid	open source
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	+ Mature memory architecture (core/archival/recall tiers) + Open source with managed option + Designed for long-lived agents
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	− More setup overhead than simple memory layers
Used in stacks	0	0