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Cognee vs VegaDūta

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 VegaDūta
Detail CogneeVegaDūta logo VegaDūta
What it doesOpen-source memory platform for AI agents Open-source, self-hostable platform for building and governing AI agents across multiple channels
StageNot given Startup
FoundedNot given 2025
Based inDE IN
Pricing modelNot given Open source
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. Free to run, fork and build on commercially under Business Source License 1.1; paid hosted plans from $0 to $79 USD
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
  • Human approval workflows
  • Multi-channel support (WhatsApp, email, voice, web)
  • Retrieval and graph memory
  • Guardrails and governance with budgets
  • Browser automation
  • Role-based access control
  • OpenAPI and Swagger tool import
  • Agent skill learning
  • Sealed audit log
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
  • Runs on laptop, server, or Kubernetes—same images everywhere from release
  • Complete governance embedded in platform and SDKs with approval, budgets, audit
  • Open standards: MCP, A2A, AG-UI, OpenTelemetry, OIDC, OpenAPI
  • Business Source License allows commercial use and forking
  • Console in 22 Indian languages
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 check8 +1 (up) since last check
Trust Flow (Majestic)140
Citation Flow (Majestic)4311
Referring domains (Majestic)10892

5 details filled in for both companies.

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