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OpenHermit vs GitMir

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

OpenHermit compared with GitMir
DetailOpenHermit logo OpenHermitGitMir logo GitMir
What it doesMake your website usable by AI agents and see everything they do AI model of your product's business logic accessible to people and AI agents
StageStartup Not given
Founded2026 Not given
Based inCH GB
Pricing modelFreemium Freemium
PricingNot given Free: 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
Key features
  • Automatic WebMCP injection for forms and actions
  • AI agent analytics and observability
  • Agent instructions, guardrails, and routing
  • Automatic form and action detection
  • One-script install with zero configuration
  • Real-time agent interaction tracking
  • WebMCP protocol implementation
  • Custom agent prompts and behavior configuration
  • 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
What makes it different
  • One script tag installation with zero configuration required
  • Built on open standard WebMCP, not proprietary technology
  • Real-time observability of AI agent activity and conversions
  • No website rebuild required to make forms agent-ready
  • Dashboard control for agent instructions and guardrails
  • 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
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)23 −1 (down) since last check27 no change since last check
Trust Flow (Majestic)53
Citation Flow (Majestic)2628
Referring domains (Majestic)8050

5 details filled in for both companies.

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