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openagent.email vs GitMir

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

openagent.email compared with GitMir
Detailopenagent.email logo openagent.emailGitMir logo GitMir
What it doesSelf-hosted email and task handoffs for AI agents with no vendor control plane AI model of your product's business logic accessible to people and AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelOpen source Freemium
PricingSelf-hosted is free under Apache-2.0 license (pay only for VPS infrastructure ~$5/month and domain ~$10/year). Hosted Pro Early Bird: $30.00/year one-time payment, no auto-renewal. 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
  • MCP 2026-07-28 support for Claude, Cursor, Kimi Code and other clients
  • Unlimited agent mailboxes on your own domain
  • Email-backed agent-to-agent task threads with stamped states
  • 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
  • Apache-2.0 open source with no vendor control plane or per-inbox software fees
  • Mail stays on your server under your control unless you explicitly opt into external services
  • Built-in OTP extraction tested against real services from US and Chinese providers
  • 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)4 −1 (down) since last check27 no change since last check
Trust Flow (Majestic)33
Citation Flow (Majestic)2628
Referring domains (Majestic)2850

5 details filled in for both companies.

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