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Cognee vs Odile Labs

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 Odile Labs
Detail CogneeOdile Labs logo Odile Labs
What it doesOpen-source memory platform for AI agents Developer tools for AI agents: Direct, Gate and phone lines
StageNot given Not given
FoundedNot given Not given
Based inDE US
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. Odile Direct: 50 free tasks per month per agent identity; then $0.10 per delivered message or $0.50 per confirmed booking. Packs: $10 for 100 credits, $90 for 1,000 credits, $800 for 10,000 credits. Voice pilot: 2.5 credits per answered minute. Odile Gate: Free for 3 apps and 10,000 calls per month;
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
  • Business lookup by phone number and message sending
  • Free business booking and cancellation
  • API call enforcement and audit logging
  • Rate limiting and risky write approval holds
  • Real phone line with caller intake
  • MCP server integration
  • REST API and SDK support
  • Claude and ChatGPT directory connector
  • Business call transcripts and recordings
  • Agent identity and referral tracking
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
  • Prevents agents from abusing API keys through an allow-list and approval holds
  • Provides free business lookup, booking and cancellation
  • Pay-as-you-go credits without monthly fees or contract
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 check28 no change since last check
Trust Flow (Majestic)143
Citation Flow (Majestic)4336
Referring domains (Majestic)108948

5 details filled in for both companies.

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