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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.
Manage AI memory, context, and multi-agent workflows at enterprise scale.
Give AI coding agents verifiable local memory that reduces repeated mistakes.
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.