topoteretes/cognee
by Various
Memory platform for AI Agents in 6 lines of code
MCP
topoteretes/cognee
Added 1 June 2026
Overview
Cognee is a Python memory platform for AI agents that abstracts graph and vector storage into a simple API. It enables agents to store, retrieve, and reason over structured knowledge with minimal setup, typically requiring just a few lines of code to integrate.
Best for
Best for
Python developers building multi-turn agents that need persistent, queryable memory without database infrastructure overhead
Use cases
- Building agents that maintain long-term context across conversations
- Implementing semantic search and retrieval over agent knowledge bases
- Connecting multiple agents to a shared memory layer for coordination
How to use
Install
uv pip install cognee Tools exposed
RelationshipsEmbeddingsSessionsMetadataPlatformBenchmarkBEAM
Tested with
Claude Code
Notes
Cognee is a Python memory platform for AI agents that abstracts graph and vector storage into a simple API. It enables agents to store, retrieve, and reason over structured knowledge with minimal setup, typically requiring just a few lines of code to integrate.
17,624 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.
Use cases
- Building agents that maintain long-term context across conversations
- Implementing semantic search and retrieval over agent knowledge bases
- Connecting multiple agents to a shared memory layer for coordination
Pros
- Low barrier to entry with minimal boilerplate code required
- Abstracts away graph and vector database complexity
- Active open source project with substantial community adoption (17k+ stars)
Cons
- Python-only, limiting use in non-Python agent ecosystems
- Abstraction layer may hide performance tuning options for production workloads
- Relatively young project with potential API stability concerns
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Low barrier to entry with minimal boilerplate code required
- Abstracts away graph and vector database complexity
- Active open source project with substantial community adoption (17k+ stars)
Cons
- Python-only, limiting use in non-Python agent ecosystems
- Abstraction layer may hide performance tuning options for production workloads
- Relatively young project with potential API stability concerns
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