cognee | AI Agent Memory

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AI Agent

cognee

AI Agent Memory

Reliable LLM Memory for AI Applications and AI Agents

Mistral Small 3 Review

Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.

Key Features

Modular: Cognee is modular by nature, using tasks grouped into pipelines

Local Setup: By default, LanceDB runs locally with NetworkX and OpenAI.

Vector Stores: Cognee supports LanceDB, Qdrant, PGVector and Weaviate for vector storage.

Language Models (LLMs): You can use either Anyscale or Ollama as your LLM provider.

Graph Stores: In addition to NetworkX, Neo4j is also supported for graph storage.

Use Cases

Memory for AI Agents

Ontology definition

Entity resolution

Chatbot memory

Pricing

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