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Mnemoverse vs ActionBox

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

Mnemoverse compared with ActionBox
DetailMnemoverse logo MnemoverseActionBox logo ActionBox
What it doesOne memory, every AI tool. Write once, recall anywhere. Human approval infrastructure for AI agents and automation workflows
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingFree: $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. Developer: Free forever with 250 Actions/month, 3 Sources, 3 Watches, 7-day history. Pro: $10/month ($120/year, save 17%) with 1,000 Actions/month, unlimited Sources, 20 Watches, 30-day history, additional Actions at $8 per 1,000-pack. Team: $49.17/month ($590/year, save 17%) with 5,000 Actions/mont
Key features
  • 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
  • Typed decisions (Boolean, choice, text, number, rating, structured forms)
  • Heartbeat Watches for silent-work detection
  • Action Controls for safe follow-up operations
  • Multi-surface inboxes (web, mobile, Slack, CLI, MCP)
  • Model Context Protocol (MCP) integration
  • Signed receipts and durable decision history
  • Mobile app for iOS (15+) with push alerts
  • Slack approval integration (Beta)
  • CLI with bounded long-poll waiting
  • Integration guides for GitHub Actions, n8n, LangGraph, OpenAI Agents SDK
What makes it different
  • 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
  • Durable decision records that survive client disconnections and restarts
  • Reduces median approval time significantly in production environments
  • Unified API across multiple approval surfaces without building custom dashboards
  • Source-scoped identity for independent credential rotation across runners
  • Built-in monitoring for stalled background work with heartbeat watches
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)40 −1 (down) since last check5 no change since last check
Trust Flow (Majestic)77
Citation Flow (Majestic)3724
Referring domains (Majestic)20042

5 details filled in for both companies.

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