Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
Cognee is an open-source memory platform for AI agents that captures context, turns it into graph memory, and lets agents recall it across sessions, with an option to scale on Cognee Cloud. It offers a single memory API and first-party integrations (Claude Code, Cursor, LangGraph, OpenClaw, Hermes, MCP) so agents remember sources, follow domain rules, and preserve citations. Used for journaling, sales intelligence, documentation knowledge bases, and memory-enabled coding agents, Cognee connects data sources via adapters to create a durable, recallable memory layer across agents.
Sources
cognee.ai shapes more of what AI says about Cognee than any other source, at 53% of its citations.
fountaincity.tech · reddit.com · arize.com · atlan.com
The market map
LLM Agent Frameworks and Tooling →Where AI ranks Cognee
Excerpts where Cognee appeared in the AI's answer

Cognee: Excellent for applications needing a graph-based, structured, and auditable memory engine.
Excerpts where Cognee appeared in the AI's answer

Cognee: Excellent for ingesting large amounts of unstructured documents and organizing them into a knowledge graph for agents to query.

Cognee: If your goal is deep document ingestion, Cognee is highly regarded for its ability to ingest massive amounts of unstructured company data
Excerpts where Cognee appeared in the AI's answer

Cognee: Best for open-source, graph-vector hybrid memory control planes that run locally or self-hosted in privacy-regulated environments.
Excerpts where Cognee appeared in the AI's answer

Cognee — worth considering if you want a more knowledge-graph-oriented memory layer

Cognee : Blends vector search with graph databases through an automated Extract, Cognify, and Load (ECL) pipeline