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cognee

cognee

Memory for AI Agents in 5 lines of code

Website cognee.ai
Overview

What it is

Cognee is an open-source memory that builds dynamic, self-improving knowledge engine for AI agents.

Intent

I need it when

Integrate agent memory infrastructure without standing up new databases or managing complex infrastructure

Cognee offers a unified memory API that works with existing agent frameworks and data sources. Teams can start locally with the open-source SDK, then scale to Cognee Cloud (hosted on AWS, GCP, Azure) or on-prem deployment. Sources stay in place; Cognee provides a shared memory surface accessible via SDK, MCP, or direct API.

Start building agent memory quickly for prototyping without committing to enterprise infrastructure

Cognee's free tier and local open-source deployment allow solo developers and teams to build and test memory workflows in minutes using the SDK. Auto-generated knowledge structures and 28+ data source adapters reduce setup time, and teams can upgrade to Developer ($35/month) or Team ($200/month) plans when scaling to production.

Implement GraphRAG or semantic search for customer-facing agents that need to retrieve cited, domain-specific facts

Cognee combines graph relationships with vector embeddings and generates data models that improve as agents and users interact with memory. It supports custom ontologies, permissions control, and feedback mechanisms, enabling production agents to retrieve accurate, cited facts and follow domain rules while improving from real usage.

Convert unstructured data into searchable, structured knowledge that agents can query by meaning rather than keyword matching

Cognee automatically extracts entities, relationships, and domain rules from raw data sources (files, warehouses, APIs, Slack, tickets). It builds a queryable knowledge graph with semantic understanding, permissions, and feedback loops, allowing agents to search by meaning and retrieve connected context with provenance.

Build AI agents that retain context and recall information across multiple sessions without losing domain knowledge

Cognee provides persistent graph memory that agents can read and write to across sessions. It captures context from documents, APIs, and chat logs, models relationships and entities, and serves cited facts to agents via Claude Code, LangGraph, and MCP-compatible clients, enabling agents to reason with connected context rather than isolated chunks.

Drop

Not a fit when

  • User needs simple vector similarity search without graph relationships or entity extraction
  • Organization requires fully managed SaaS with zero infrastructure setup and cannot use open-source components
  • Use case involves real-time streaming data requiring sub-second latency across millions of concurrent queries
  • Team lacks technical expertise to integrate APIs, configure data connectors, or manage knowledge graph ontologies
  • Budget is extremely constrained and cannot accommodate $35/month minimum for cloud hosting
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Pricing

USD0 / monthly View pricing