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Axonio vs GitMir

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

Axonio compared with GitMir
DetailAxonio logo AxonioGitMir logo GitMir
What it doesPersistent memory for AI agents and robots with Git-style versioning 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
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
  • Hybrid vector and knowledge-graph retrieval
  • Zero-copy state branching and merging
  • 44 memory tools over MCP protocol
  • Sub-0.4ms P99 retrieval latency
  • Built-in importers from Mem0, Zep, Pinecone and others
  • Entity deduplication and linking
  • Offline operation with fleet synchronization
  • Memory Copilot for schema generation
  • Object storage for multimodal state
  • 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
  • Memory versioning with Git-style fork, diff and merge—test changes safely and undo mistakes
  • Native MCP integration: one URL works with Claude, Cursor, Windsurf and any MCP client
  • Seamless migration from Mem0, Zep, Pinecone and other systems without data loss
  • 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)7 +4 (up) since last check27 no change since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)2528
Referring domains (Majestic)550

4 details filled in for both companies.

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