Cognee vs NeuralTrust

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 NeuralTrust
Detail	Cognee	NeuralTrust
What it does	Open-source memory platform for AI agents	Security platform for governing and protecting enterprise AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	DE	ES
Pricing model	Not given	Not given
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 plan: $0/month with 100,000 requests/month. Standard plan: $49/month with $49 usage credit included and $0.0003 per request beyond included credit. Enterprise plan: Custom pricing with committed volume and discounts. Additional features priced separately: Smart routing at $0.0002 per execution,
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	Agent Posture Management AI Red Teaming Prompt injection protection Multi-turn injection protection PII & secret detection <100 ms latency real-time enforcement On-premise, SaaS, or hybrid deployment Split-plane architecture for data sovereignty
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	Handles 20K+ requests per second per node with linear scaling Unified policy enforcement across homegrown, third-party SaaS, and endpoint deployments without custom integration work
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	60 no change since last check
Trust Flow (Majestic)	14	15
Citation Flow (Majestic)	43	42
Referring domains (Majestic)	1089	1186

5 details filled in for both companies.

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