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digithings vs GitMir

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

digithings compared with GitMir
Detaildigithings logo digithingsGitMir logo GitMir
What it doesOpen-source AI infrastructure you self-host on your own hardware with your own keys 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-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work. 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
  • Provider routing with LiteLLM
  • 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
  • Complete ownership: your keys, hardware, data and audit logs stay under your control
  • No vendor lock-in: compose individual modules with your existing stack rather than replacing it
  • Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history
  • Every request traceable: one ID threads through all services with full audit logging
  • 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)5 −4 (down) since last check27 no change since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)1328
Referring domains (Majestic)150

5 details filled in for both companies.

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