Persistent memory for AI agents and robots with Git-style versioning
AI model of your product's business logic accessible to people and AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
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GB
Pricing model
Freemium
Freemium
Pricing
Not 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