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Mlola vs GitMir

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

Mlola compared with GitMir
DetailMlola logo MlolaGitMir logo GitMir
What it doesReliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement. AI model of your product's business logic accessible to people and AI agents
StageNot given Not given
FoundedNot given Not given
Based inID GB
Pricing modelNot given 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
  • Observe page state in atomic passes without screenshots
  • Model picks operations only from compatible targets
  • Risk classification for payments, deletions, sends and secrets
  • Typed actions with freshness, visibility and occlusion checks
  • Append-only event log for replay and audit
  • Chrome automation through Playwright
  • Browser extension for agent isolation
  • 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
  • Deterministic browser mechanics as default, models only for judgement and writing
  • Safety enforced through code boundaries, not prompt requests
  • Every step verified independently before proceeding
  • Cost measured by fast-path share on every run
  • Capabilities advertised honestly, imitation refused
  • 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)10 no change since last check27 no change since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)2728
Referring domains (Majestic)2850

4 details filled in for both companies.

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