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MachinaOS vs Cognee

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

MachinaOS compared with Cognee
DetailMachinaOS logo MachinaOS Cognee
What it doesLocal-first orchestration layer that converts natural language goals into validated plans, policy checks, and real tool execution Open-source memory platform for AI agents
StageStartup Not given
Founded2025 Not given
Based inNot given DE
Pricing modelNot given Not given
PricingFree: $0 with single local runtime, core tool registry, session memory, demo mode. Intelligence: $49/month with multi-agent delegation, Visual Workflow Studio, Security Center, MCP protocol, 7 LLM providers, native desktop app. Enterprise: custom pricing with distributed agent mesh, security policy 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
  • Visual Workflow Studio with drag-and-drop pipeline canvas
  • Natural language chain generation from plain English descriptions
  • Step-by-step debugger with real-time node animation
  • Policy gates and human approval for destructive operations
  • Multi-agent delegation with consensus workflows
  • AES-256-GCM encrypted secrets vault
  • Support for 7 LLM providers including Ollama
  • Immutable SOC 2-style audit log with SHA-256 hash chains
  • 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
  • Fully local execution with no cloud infrastructure dependency required
  • Human-in-the-loop approval system for governance and risk mitigation
  • Native desktop application with bundled runtime and zero prerequisites
  • Visual pipeline design without code required
  • 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)26 +1 (up) since last check70 no change since last check
Trust Flow (Majestic)114
Citation Flow (Majestic)2343
Referring domains (Majestic)631089

4 details filled in for both companies.

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