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Humanix vs Cognee

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

Humanix compared with Cognee
DetailHumanix logo Humanix Cognee
What it doesTeach AI, Earn Dollars Open-source memory platform for AI agents
StageMVP Not given
FoundedNot given Not given
Based inCY DE
Pricing modelFree Not given
PricingNot given 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.
Key features
  • Answer AI-generated questions based on expertise
  • Fair assessment and crediting of contributions
  • Automatic payment calculation
  • Bonus earning for profile completion
  • Weekly streak bonuses
  • Worldwide access for users 18+
  • Human review of automated decisions
  • Annual earnings review
  • 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
What makes it different
  • Contributors are credited for answers upfront, not based on future licensing
  • Fair compensation determined by quality and novelty of knowledge
  • Revenue-share model where Humanix pays from licensing earnings
  • Named contributions credited to your account
  • Mission to make humans essential partners in AI
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)9 no change since last check70 no change since last check
Trust Flow (Majestic)014
Citation Flow (Majestic)1343
Referring domains (Majestic)21089

4 details filled in for both companies.

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