What is Cognee AI?
Cognee is an open-source agent memory platform designed to provide persistent, long-term memory for LLM agents. It enables agents to capture context, transform it into graph memory, and recall information across sessions, eliminating the need for agents to relearn past interactions. The platform supports graph, vector, and relational retrieval, offering a comprehensive memory layer that can be deployed self-hosted, in Docker, on-premises, or via Cognee Cloud.
Key features include the ability to turn notes, decisions, and life events into searchable memory; manage deals, ICPs, and accounts for team querying; and build technical and industrial knowledge bases. Agents can recall past work, decisions, and fixes, improving efficiency and accuracy. Cognee integrates seamlessly with Claude Code, Cursor, LangGraph, OpenClaw, and any MCP client, allowing agents to maintain project context across sessions without new infrastructure. Adapters convert warehouses, documents, chats, and APIs into a unified recallable memory layer, so a single source can be remembered by every agent.
Use cases range from personal journaling and deal intelligence to research and customer-facing agents. For customer-facing agents, Cognee ensures they recall cited facts, follow domain rules, and improve from real usage. The platform offers first-party integrations and an MCP server for easy read/write access to memory without custom code.
Technical details: Cognee is built on open-source foundations, with a free tier that includes all core features. Pricing is usage-based, scaling with memory workload. The Standard tier adds dedicated support, a private cloud, and SLAs for memory at scale. Users can start with the open-source package, connect an agent via MCP or SDK, and migrate to Cognee Cloud when managed scale is needed. Cognee is the perfect starting point for building agents with memory, offering a seamless path from local development to enterprise deployment.
Use Cases
Key Features
persistent agent memory graph memory storage vector and relational retrieval self hosted deployment Docker support on premises deployment Cognee Cloud searchable memory unified recallable memory MCP client integrationWho is it for?
LLM developers, AI engineers, agent platform teams, enterprise IT, research teams, customer, facing agent builders
