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Living Brain vs GitMir

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

Living Brain compared with GitMir
DetailLiving Brain logo Living BrainGitMir logo GitMir
What it doesA persistent and self-learning interoperable memory layer for AI agents and tools. 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 modelFreemium Freemium
PricingLiving Brain API: $8 per 1M input tokens and $0.50 per 1M output tokens, pay as you go with $5 minimum top-up and no monthly minimum. Living Brain Workspace: $99 per month (most popular), includes three team seats, $80 shared monthly credits for first three cycles then $50, managed Brains and agents 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
  • Semantic search and connection discovery
  • Memory scoring and optimization
  • REST API, SDK, CLI and MCP support
  • Document extraction and storage
  • Audio transcription
  • Webhook subscriptions and integrations
  • Slack and Telegram capture
  • Scheduled briefs and page history
  • Markdown export and structured output
  • Multi-brain and team collaboration
  • 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
  • 22.6X fewer tokens per question and 95% lower cost per task vs full context baseline
  • 0% hallucinations on LongMemEval-S evaluation
  • Works across 60+ AI platforms via unified API
  • 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)12 +1 (up) since last check27 no change since last check
Trust Flow (Majestic)73
Citation Flow (Majestic)1828
Referring domains (Majestic)350

5 details filled in for both companies.

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