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Cognee vs unify
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Cognee compared with unify
Detail C
Cognee
unify
What it does Open-source memory platform for AI agents
Models that keep learning
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Founded Not given
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Based in DE
US
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Pricing Free: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host.
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Key features Unified vector search, knowledge graphs, and relational storage Automatic knowledge graph generation from data sources Multi-tenant support with isolated workspaces Data source integrations (Slack, Notion, Google Drive, GitHub, etc.) Self-improving memory that learns from use Multiple deployment options (cloud, self-hosted, air-gapped) Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP) Support for multiple vector and graph databases GDPR compliance and encryption at rest and in transit Built-in graph visualization of company brain
Continuous model training from user interactions Automatic quality improvement Reduced latency and cost over time User-owned learning flywheel
What makes it different Combines vectors with graph relationships and generated data models for connected context retrieval State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens) Keeps memory costs flat as data grows compared to baseline LLM approaches Fully open-source with no database lock-in Updates memory as source data changes, not just static snapshots
Models learn inside the harness rather than remaining frozen Eliminates the limitation of frozen models with notepads
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Open source Not given
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Community votes 0 0
DR (Domain Rating by Ahrefs)70 ● no change since last check 56 ● no change since last check
Trust Flow (Majestic) 14 26
Citation Flow (Majestic) 43 37
Referring domains (Majestic) 1089 610
4 details filled in for both companies.
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