Head-to-Head Comparison
Cognee vs Memgraph
Compare features, pricing, integrations, and community reviews
Cognee
AI ToolsCognee is an open-source AI memory engine and knowledge graph layer that structures, connects, and retrieves information for AI agents. Cognee is an open-source AI memory engine and knowledge graph layer that structures, connects, and retrieves information with precision by building knowledge graphs from unstructured data, allowing agents to reason over relationships.
Memgraph
AI ToolsMemgraph is an open-source, in-memory graph database designed for high-performance applications. It is optimized for real-time AI contexts, including GraphRAG and agentic AI, delivering sub-millisecond multi-hop traversals. This database emphasizes in-memory performance and Cypher compatibility for AI applications. The platform includes an Unstructured2Graph Agent, which converts unstructured documents into connected knowledge graphs for LLM querying. Memgraph also supports vector search for semantic search in AI applications and provides a visual interface, Memgraph Lab, for graph data management.
Pricing
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Cognee
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Memgraph
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At a Glance
Cognee
Pricing
freemium
Key Features
Open-source AI memory engine with a knowledge graph layer. · Secured €7.5 million in seed funding in February 2026. · Cognee v1.0 released June 26, 2026, featuring a memory API with `remember`, `recall`, `forget`, and `improve` functions.
Memgraph
Pricing
freemium
Key Features
Open-source, in-memory graph database optimized for real-time AI applications. · Delivers sub-millisecond multi-hop traversals for high-performance data processing. · Supports the Cypher query language and ensures ACID compliance with data persistence.
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