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GitMir vs ModelBrain RAG

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

GitMir compared with ModelBrain RAG
DetailGitMir logo GitMirModelBrain RAG logo ModelBrain RAG
What it doesAI model of your product's business logic accessible to people and AI agents An HTTP document search API for your apps
StageNot given Not given
FoundedNot given Not given
Based inGB US
Pricing modelFreemium Open source
PricingFree: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49 Not given
Key features
  • Builds features, rules and customer paths and keeps them current with every push
  • Shows what each commit changed in the business logic, not only in the code
  • Provides change impact analysis before merge showing what could break
  • Checks PRDs and specifications against the product
  • Delivers understanding to AI agents over MCP
  • Runs locally on your machine with GMM Local
  • Finds risky patterns and problems in the product
  • Enterprise deployment inside your security boundary
  • Integrates with Claude Code, Cursor, Codex and VS Code
  • MCP access for agents with 1-10 credits per answer
  • Search passages that match a query with scores and file references
  • Manage collections and add or remove documents over HTTP or web interface
  • Share vaults and partitions for search-only access
  • API keys with read, write or admin access levels
  • Web interface for search and administration
  • User account management with three access levels
  • Full-text and vector search indexes
  • Runs locally on 127.0.0.1 with no outgoing connections
  • SHA-256 hashed API keys and scrypt hashed passwords
  • Limit lists restrict collections and vaults per user or API key
What makes it different
  • Nearly 3× fewer errors on Benchmark 001 compared to alternatives
  • 8.4K tokens per question instead of 27.4K for competitors
  • Results published and measurable; method is proprietary
  • Reduces AI cost per completed agent action from $0.35 to $0.08
  • Runs entirely locally on your computer with no outgoing connections
  • Free and open source with MIT license
  • Does not write answers or contain a language model
  • Shared vaults and partitions are search-only and cannot be modified
  • Integrates with any language model of your choice
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)27 no change since last check1 no change since last check
Trust Flow (Majestic)33
Citation Flow (Majestic)2827
Referring domains (Majestic)5017

5 details filled in for both companies.

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