Cognee vs GAIM

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Cognee compared with GAIM
Detail	Cognee	GAIM
What it does	Open-source memory platform for AI agents	Hosted shared memory for AI assistants
Stage	Not given	Not given
Founded	Not given	Not given
Based in	DE	Not given
Pricing model	Not given	Freemium
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.	Free: Personal memory up to 1,000 records with no time limit. Pro: $5 per month or $50 per year for unlimited personal memory. Team: $10 per month plus $5 per member per month for shared memory and collaboration.
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	Personal and team memory MCP server with OAuth 2.1 or token authentication Search by words and by meaning Record provenance and version history Conflict detection and resolution JSON export and import Project-based organization with hierarchical grouping Urgent inbox for team notifications Role-based access control for teams Works with Claude, ChatGPT, ZCode, Grok and other MCP clients
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	One memory accessible from any AI assistant without re-explanation or chat copying Separate personal and team memory layers with no automatic sharing Records show full history and cannot be silently erased or replaced Search by meaning finds relevant records even with different wording
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	70 no change since last check	2 no change since last check
Trust Flow (Majestic)	14	1
Citation Flow (Majestic)	43	13
Referring domains (Majestic)	1089	6

4 details filled in for both companies.

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