Cognee vs Kohnex Brain

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 Kohnex Brain
Detail	Cognee	Kohnex Brain
What it does	Open-source memory platform for AI agents	Expert reasoning for the AI you already use
Stage	Not given	Not given
Founded	Not given	Not given
Based in	DE	Not given
Pricing model	Not given	Paid
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.	Pro: $29 per month (billed monthly) or $278.40 per year with 20% savings. Includes 3,000 queries per month, KB-DEEP and KB-CORE reasoning engines, all thinking modes, API key, and priority support. Custom plans available with negotiated query quota, dedicated support, and custom integrations.
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	Works with multiple AI models and clients (OpenAI, Claude, Cursor, VS Code, Gemini) KB-DEEP and KB-CORE reasoning engines All thinking modes included MCP integration without workflow changes API key for programmatic access Priority and dedicated support options Custom integrations for enterprise plans 3,000 queries per month on Pro plan
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	Enhances existing models without replacing them or requiring retraining Single connection integrates with entire AI stack Proven performance improvements on custom expert tasks Generates sharper answers with fewer blind spots Works with any compatible AI model without vendor lock-in
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	Not checked yet no change since last check
Trust Flow (Majestic)	14	0
Citation Flow (Majestic)	43	16
Referring domains (Majestic)	1089	3

4 details filled in for both companies.

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