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Opengeni vs Mnemoverse

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

Opengeni compared with Mnemoverse
DetailOpengeni logo OpengeniMnemoverse logo Mnemoverse
What it doesCloud computer for every agent, with your tools and team. One memory, every AI tool. Write once, recall anywhere.
StageNot given Not given
FoundedNot given Not given
Based inNO Not given
Pricing modelFreemium Freemium
PricingFree: $10 monthly usage credit. Pro: $20/month for $100 monthly usage credit. Max: $100/month for $500 monthly usage credit. Enterprise: custom volume pricing. All plans include 5× usage credit for model calls at provider's API price with no markup. Pay-as-you-go top-ups available. Free: $0 with 1,000 queries/day, 10,000 atoms, 60 req/min. Pro: $29/mo with 50,000 queries/day, 500,000 atoms, 600 req/min. Team: $149/mo with 500,000 queries/day, 5,000,000 atoms, 3,000 req/min. Enterprise: Custom limits and pricing.
Key features
  • Each agent gets its own dedicated computer in the cloud
  • Agents keep working after you close your laptop
  • Run many tasks in parallel, each on its own computer
  • Encrypted vault for credentials and secrets
  • Connect tools once, all agents can use them
  • Support for any AI model including your own subscriptions
  • Multiplayer chats teammates can continue
  • Scheduled recurring work on a schedule
  • Approval controls for risky actions
  • Start tasks from Slack, web app or phone
  • Persistent cross-tool memory API working with Claude, Cursor, VS Code, ChatGPT, Python, and any HTTP client
  • Hebbian associations that strengthen links between concepts recalled together
  • Outcome feedback that re-ranks recall based on usefulness
  • Automatic query expansion along learned associations
  • Python SDK with typed errors for write, read, feedback, and stats
  • REST API for any HTTP client
  • Per-tenant org isolation and SHA-256 hashed API keys
What makes it different
  • Open source under Apache 2.0, self-hostable or run on managed cloud
  • Same harness works for team agents, software development automation, and embedding in your product
  • No markup on model API costs; credits give 5× value
  • Agents run real terminal commands, tests and git operations
  • Teams share one workspace with shared integrations and role-based access
  • Learns from outcomes and improves over time, unlike vector databases that only perform similarity search
  • Works across every AI tool with a single API key, not locked to one platform
  • Complementary to RAG: remembers outcomes and lessons, not just document similarity
  • Free tier with full API access and MCP server, no credit card required
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)11 −1 (down) since last check40 −1 (down) since last check
Trust Flow (Majestic)117
Citation Flow (Majestic)3037
Referring domains (Majestic)76200

5 details filled in for both companies.

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