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MemoryPlugin vs Autonomyware

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

MemoryPlugin compared with Autonomyware
DetailMemoryPlugin logo MemoryPluginAutonomyware logo Autonomyware
What it doesOne shared memory across ChatGPT, Claude, Gemini, and 21+ AI tools AI-native platform for engineering physical products from natural language descriptions
StageNot given Not given
FoundedNot given Not given
Based inNot given NL
Pricing modelNot given Freemium
PricingCore: $15/month or $89/year. Pro: $25/month or $180/year. Lifetime plan also available. All plans include 7-day free trial with 14-day refund guarantee. Explore: €19.99/month (1,000 credits), Create: €49.99/month (2,500 credits), Engineer: contact for pricing. Yearly billing available with up to 21% savings.
Key features
  • Shared memory across 21+ AI platforms
  • Automatic memory capture and curation
  • Organized buckets for work, personal and projects
  • Smart Memory reduces tokens by 90%
  • Search across all memories and chat history
  • Browser extension for Chrome and Safari
  • MCP server for Claude and Cursor
  • One-click export to CSV, JSON or Text
  • Natural language product descriptions converted to 3D models
  • Exact CAD geometry generation
  • Bill of materials with complete parts list
  • Manufacturing-grade geometry with part dimensions and assembly
  • Electronics design in open beta
  • System architecture and engineering reasoning
  • Self-checking geometry verification
  • Real-time simulation and testing
  • Export to multiple file formats and manufacturers
  • Collaborative engineering with AI agents
What makes it different
  • Works across 21+ AI tools instead of being locked to one platform
  • No memory caps or unexpected wipes
  • Automatically stays organized with duplicate merging and stale fact detection
  • Full data ownership with one-click export and no lock-in
  • Exact, buildable geometry instead of visual approximations
  • No CAD or engineering knowledge required
  • Complete engineering data with traceability and reasoning
  • Proprietary geometry kernel for real engineering, not guessing
  • Dedicated capacity and collaborative scoping for enterprise
Community votes00
DR (Domain Rating by Ahrefs)43 +1 (up) since last check4 +1 (up) since last check
Trust Flow (Majestic)57
Citation Flow (Majestic)3527
Referring domains (Majestic)22944

4 details filled in for both companies.

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