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Ottermind vs Elpis

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

Ottermind compared with Elpis
DetailOttermind logo OttermindElpis logo Elpis
What it doesAI agent workspace that turns ideas into finished, editable work Portable context for terminal coding agents
StageNot given Not given
FoundedNot given Not given
Based inSG Not given
Pricing modelFreemium Open source
PricingFree plan with 50 one-time welcome credits and 1 GB cloud storage. Otter Solo: $16/month (billed yearly, regularly $19/month) with 2,000 credits/month and 5 GB cloud storage. Otter Squad: $39/month (billed yearly, regularly $49/month) with 5,500 credits/month and 50 GB cloud storage. Otter Colony: $ Not given
Key features
  • Retains context across projects and files
  • Acts across tools and connected services
  • Adapts to user preferences and patterns
  • Works across web, desktop, and mobile
  • AI PPT generation with GPT Image 2
  • Editable results after generation
  • Multiple AI model support
  • Data privacy and security controls
  • Cloud computer resources
  • Context Ledger for curating admitted instructions, files and memory
  • Deterministic context admission before model processing
  • Workflows with Mother agent team design and checking
  • Love Spot drawing board with Matilda companion
  • Desktop app with theme customization
  • Support for GPT, Claude and Gemini models
  • Terminal and desktop app sharing state
  • Portable context for terminal coding agents
What makes it different
  • Works for you instead of just chatting—retains memory, orchestrates agents, and carries tasks across steps
  • Keeps project context organized in one workspace rather than scattered across chats
  • Delivers editable, finished results instead of just raw outputs
  • Learns from your work and adapts to your preferences over time
  • Built for resilience with error recovery and approval controls
  • Deterministic context admission ensures agents see processed context before model receives it
  • Context Ledger provides transparent curation of agent inputs
  • Mother agent orchestrates multi-agent workflows with checking and merged results
  • Collaborative drawing interface with AI companion
Community votes00
DR (Domain Rating by Ahrefs)32 −1 (down) since last check7 no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)4012
Referring domains (Majestic)2396

4 details filled in for both companies.

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