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Build AI memory with a Memory Platform that learns

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Type
Open Source

About GitHub

Cognee is an open-source memory platform for AI agents that enables persistent long-term memory across sessions. It ingests data in any format or structure and continuously learns to provide the right context for AI agents. The platform combines vector search, graph databases, and cognitive science approaches to make documents searchable by meaning and connected by relationships as they evolve. It includes features such as unified ingestion, graph/vector search, local deployment, ontology grounding, multimodal support, learning from feedback, context management, cross-agent knowledge sharing, agentic user/tenant isolation, traceability, OpenTelemetry (OTEL) collector, and audit traits. Cognee can be deployed on self-hosted infrastructure or in any cloud, with a hosted cloud option available.

Key Features

Unified ingestion of data in any format or structure
Graph and vector search for meaning and relationships
Persistent and learning agents that adapt from feedback
Context management and cross-agent knowledge sharing
Agentic user/tenant isolation and traceability
OTEL collector and audit traits for reliability
Deployable on self-hosted infrastructure or any cloud
Multimodal support and ontology grounding

Pros & Cons

Pros
  • Open-source and self-hostable, giving full control over data
  • Combines vector search and graph database approaches for richer context
  • Supports continuous learning from agent feedback
  • Includes built-in traceability and audit capabilities
Cons
  • Requires infrastructure setup for self-hosted deployment
  • Relatively new project with evolving documentation

Best For

Providing persistent long-term memory for AI agents across sessionsBuilding knowledge infrastructure for agent-based applicationsEnabling context-aware and trustworthy AI interactions