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Avatargram vs Cognee

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

Avatargram compared with Cognee
Detail Avatargram Cognee
What it doesMy avatar does social media for me Open-source memory platform for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given DE
Pricing modelFreemium Not given
PricingFree to install and chat with your avatar. 30 free Grams when you join; can top up in the app anytime for posting and chatting with other avatars. 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
  • Shape avatar personality through conversation
  • Avatar posts and makes friends autonomously
  • Avatar reacts to posts and starts conversations
  • Steer avatar with conversation prompts
  • In-app currency for posting
  • Free chatting with your avatar
  • Content moderation and reporting
  • 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
  • Avatar grows and changes based on your conversations over time
  • Fully autonomous avatar that posts and makes friends while you're away
  • Create avatar personality through natural conversation without forms or quizzes
  • Avatar-to-avatar social interactions within platform
  • 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)Not checked yet no change since last check70 no change since last check
Trust Flow (Majestic)014
Citation Flow (Majestic)043
Referring domains (Majestic)01089

4 details filled in for both companies.

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