What is Cognee — Memory Engine for AI Agents?

Cognee adds persistent structured memory to any AI agent in 6 lines of code. 14.8K+ stars. Knowledge graphs, vector stores, LLM integration. Apache 2.0.

Is Cognee — Memory Engine for AI Agents free to use?

Yes. Cognee — Memory Engine for AI Agents is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Cognee — Memory Engine for AI Agents?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Cognee — Memory Engine for AI Agents

Cognee is an open-source memory and knowledge management engine designed specifically for AI agents. While most AI tools forget everything between sessions, Cognee gives your agents persistent, structured memory that grows over time.

How it works:

Add any data — text, documents, URLs, databases
Cognify — Cognee processes it into a knowledge graph with entity extraction, relationship mapping, and vector embeddings
Search — Query with natural language, get structured answers with source attribution

Key features:

Knowledge graphs: Automatically extracts entities and relationships from unstructured text
Vector + graph hybrid: Combines vector similarity search with graph traversal for deeper understanding
Multiple data sources: Text, PDFs, URLs, databases, APIs
LLM-agnostic: Works with OpenAI, Anthropic, local models
Incremental learning: Add new knowledge without reprocessing everything
Source tracking: Every answer traces back to its source documents

FAQ

Q: How is this different from a vector database? A: Vector DBs do similarity search on chunks. Cognee builds a knowledge graph — it understands entities, relationships, and can reason across multiple documents. Think "structured memory" vs "fuzzy search."

Q: Can I use it with Claude Code? A: Yes. Use Cognee as a Python library in your agent's tools. Add project docs to Cognee, then query them during coding sessions for context-aware assistance.

Q: What about privacy? A: Cognee runs locally by default. Your data stays on your machine. You can use local LLMs (Ollama) for fully offline operation.

Q: Does it support real-time updates? A: Yes. Call cognee.add() and cognee.cognify() incrementally — new knowledge is integrated without reprocessing the entire graph.

Works With

Claude Code, Cursor, Codex (via Python tool integration)
Any LLM: OpenAI, Anthropic, Ollama, local models
Vector stores: Qdrant, Weaviate, PGVector
Graph stores: Neo4j, NetworkX
Python 3.9+

Cognee — Memory Engine for AI Agents

FAQ

Works With

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