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Cognee vs caywork

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 caywork
Detail Cogneecaywork logo caywork
What it doesOpen-source memory platform for AI agents A marketplace to discover, run, and publish AI agents
StageNot given Not given
FoundedNot given Not given
Based inDE TR
Pricing modelNot given Paid
PricingFree: $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. Starter Credits Pack: $5 one-time payment (100 credits, approximately 50 agent runs). Middle Credits Pack: $15 one-time payment (300 credits, approximately 150 agent runs). High Credits Pack: $45 one-time payment (900 credits, approximately 450 agent runs). New accounts receive 50 free credits.
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
  • Browse and discover AI agents from a curated marketplace
  • Run agents without coding or technical setup
  • Create and publish agents using a visual interface
  • One-time credit purchases with no monthly subscriptions
  • Free agent publishing with fees only on actual usage
  • Agents for marketing, development, research, and productivity tasks
  • Sandboxed environment for secure data handling
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
  • Single marketplace eliminates hunting across multiple sites for AI agents
  • One-time purchases instead of subscriptions reduce friction and simplify access
  • Transparent and predictable fee structure designed for creator profitability
  • Agents that take actions and complete multi-step tasks, not just chat
  • Supports both non-developers and developers with flexible interface options
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)70 no change since last check2 no change since last check
Trust Flow (Majestic)148
Citation Flow (Majestic)4324
Referring domains (Majestic)108915

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