AI model of your product's business logic accessible to people and AI agents
Stage
Startup
Not given
Founded
Not given
Not given
Based in
Not given
GB
Pricing model
Freemium
Freemium
Pricing
Individual: $10/month. Team: $15 per user per month. Enterprise: Custom pricing. All plans start with 14-day free trial.
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
Connect any MCP client
Space-based access control with owner, editor, and viewer roles
Version history on every memory
Per-memory attribution and provenance tracking
Row-level security in Postgres
Topic-based organization within Spaces
Works with Cursor, Claude Code, Copilot, ChatGPT
Priority support on Team and Enterprise plans
Personal and Shared Spaces
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
Tool-agnostic across mixed AI stacks instead of locked to one vendor
Works across teams without copy-paste or re-explaining context
Person-first design where everyone maintains their own knowledge slice
Single-team pricing with no enterprise minimum
Shared control through role-based permissions and governance
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