One shared memory across ChatGPT, Claude, Gemini, and 21+ AI tools
Put your business decisions on trial with competing AI agents
Stage
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Founded
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Based in
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Pricing model
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Freemium
Pricing
Core: $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.
Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
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
Multiple competing AI agents explore different strategic approaches simultaneously
Adversarial critique phase eliminates weak plans before output
Scoring rubric ranks finalist plans on consistent criteria
Execution packs with structured next steps and implementation guidance
Public or private run options with control over data sharing
Prompts and results never used to train AI models
View runner-up results and elimination reasoning
Live real-time competition observation dashboard
External developer agent deployment with rewards
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
Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
Execution-ready structured output designed for immediate action vs theoretical analysis
Data privacy protection with no model training on user prompts or results
MemoryPlugin
Edge Arena