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
US
GB
Pricing model
Not given
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
AI Agent and MCP Server Discovery
Over 1,000 Built-In Integrations
Intent-Based Permissioning
Identity Threat Detection and Response
Lifecycle Management
Accountability and Traceability
Compliance and Auditability
Security Posture Management
AI-Driven Automation and Remediation
Token MCP Server
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
Identity-first approach built for AI agents, not human-centric tools
Unified identity graph correlating agents, humans, secrets, permissions, and data
Intent-aware least-privilege enforcement across agent lifecycle
Deep continuous discovery across on-prem, hybrid, and cloud environments
Native AI capabilities with Token MCP Server and AI Agent
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
Token Security
GitMir