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Cognee vs Restless

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 Restless
Detail CogneeRestless logo Restless
What it doesOpen-source memory platform for AI agents An open-source office where people and AI agents share the work
StageNot given Not given
FoundedNot given Not given
Based inDE AU
Pricing modelNot given Freemium
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. Restless Core is free and open source. Hosted Restless: Founder plan $49/month for two companies, Scale plan $149/month for five companies. AI use is included in hosted plans; additional usage available as top-ups at cost.
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
  • Shared rooms for people and agents to communicate
  • Collaborative documents with feedback and version tracking
  • Task board with status tracking and gates
  • Persistent Linux computer for continuous work
  • AI agents that run builds, exports, and research
  • Prepared decisions requiring only human judgment
  • Work continues after people leave the office
  • Model switching and session management
  • Account permissions and role tagging for team members
  • Spending caps for AI usage control
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
  • AI agents handle routine work, so people focus only on decisions requiring judgment
  • Built as a company workspace, not just a chat window
  • Open source core available free to self-host
  • Scales from single maker with one AI lead to larger organizations
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)140
Citation Flow (Majestic)431
Referring domains (Majestic)10892

5 details filled in for both companies.

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