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Cognee vs MewCP

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 MewCP
Detail Cognee MewCP
What it doesOpen-source memory platform for AI agents One gateway for every tool your AI agent needs
StageNot given Not given
FoundedNot given Not given
Based inDE IN
Pricing modelNot given Not given
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. Hobby (Free): 20K actions/month. Plus ($9/month): 100K actions/month. Pro ($24/month): 300K actions/month. Enterprise: Custom pricing on request. All plans include unlimited MCP servers, OAuth management, and encrypted credential storage.
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
  • Encrypted credential storage and runtime injection
  • Managed OAuth flows and token refresh
  • Tool-level access control
  • Multi-tenant end-user authentication
  • Hosted, auto-scaling MCP servers
  • Per-request logging and activity monitoring
  • 360+ MCP servers in catalog
  • Context window optimization
  • Dashboard and API for toolset management
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
Not given
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 checkNot checked yet no change since last check
Trust Flow (Majestic)140
Citation Flow (Majestic)4316
Referring domains (Majestic)108917

4 details filled in for both companies.

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