Cognee vs Context Engine

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 Context Engine
Detail	Cognee	Context Engine
What it does	Open-source memory platform for AI agents	One memory for your AI agents and your team
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: $0 forever with 1 agent per engine (up to 3 when friends refer), 1 GB memory. Pro: $12/month or $99/year per engine with 10 agents and 25 GB memory. Unlimited: $39/month or $299/year per engine with unlimited agents and 100 GB memory. Enterprise: from $6,000/year per install on your own server
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	Connect ChatGPT, Claude, Claude Code and Cursor with a few clicks AI tools save decisions, notes, people, customers and files Search with semantic understanding, not just exact words Automatic summaries by day, week and month Link related memories automatically Prevent duplicate memories with deduplication Export all data as Markdown and JSON Separate engines for clients with no data crossing Fine-grained access control (read or read-and-save) Full history tracking for every change
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	Keeps AI tools from forgetting context between sessions Data isolated per engine with no sharing between customers Fully portable—export anytime or delete permanently Pay per engine, never per person added to team
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	15 +3 (up) since last check
Trust Flow (Majestic)	14	13
Citation Flow (Majestic)	43	28
Referring domains (Majestic)	1089	32

4 details filled in for both companies.

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