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Give AI agents persistent memory with a self-hosted knowledge graph engine.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cognee" yet — see the docs or source repo.
I’m building a customer support AI agent. Explain how to use Cognee to add cross-session long-term memory for user preferences, past issues, and resolution history, and provide a basic integration flow.
An integration plan describing memory storage, knowledge graph structure, and implementation steps.
Design a Cognee-based memory layer for a research assistant so the agent can remember paper topics, reviewed findings, follow-up questions, and related entity relationships, and explain the suggested data model.
A long-term memory design for research workflows, including entities, update strategy, and retrieval methods.
I want to deploy Cognee in my own environment. Provide self-hosted deployment recommendations for a development team, including component layout, data persistence, access control, and connection methods with existing AI apps.
A deployment plan covering architecture components, operational concerns, and system integration guidance.
Provides local persistent memory for coding agents with low-cost context retrieval.
Give AI persistent memory, causal reasoning, learning, and predictive assistance.
Give AI agents persistent memory, collaboration rooms, and video generation.
Give AI coding agents persistent cross-project memory and connected context retrieval.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Give AI agents local memory with search, graph retrieval, and history replay.