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📝 Summary
Give your agents persistent memory that improves with use.
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Cognee – Brain for AI Agents
📝 About This Tool
•Cognee is a managed memory layer for AI agents. It ingests data from warehouses, vector stores, files, and APIs, then builds, stores, and serves a world model with auto-extracted ontologies, fine-grained permissions, and recall tuning. Agents can recall this memory across sessions, improving with each use. It integrates with Claude Code, LangGraph, MCP, and custom runtimes, enabling teams to ship domain-smart agents quickly.
⚡ Key Features
•Ingest from multiple sources (Snowflake, Postgres, PDF, Slack, etc.)
•Auto-extracted ontologies and managed world model
•Fine-grained permissions and recall tuning
•Self-improving memory with every interaction
•Drop-in integration with Claude Code, LangGraph, MCP, and custom runtimes
✨ Why Choose It
•Memory improves with use, no manual retraining
•Works with existing warehouses and vector stores without migration
•One-command local setup for solo devs, scalable to production
👥 Who Is It For
•Solo developers and agent hackers
•Data and platform teams
•Product engineers and founders shipping vertical agents
❓ FAQ
Q: What is Cognee?
A: Cognee is a managed memory layer that gives AI agents persistent, self-improving memory.
Q: How does Cognee improve over time?
A: It learns from how it's used, automatically updating its graph and recall without manual retraining.
Q: Can I use Cognee with my existing stack?
A: Yes, it integrates with Claude Code, LangGraph, MCP, and your current warehouses or vector stores.
