Independent catalog of open AI models with verified downloads
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
Not given
GB
Pricing model
Free
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
SHA-256 hash verification for downloaded files
MCP server integration with Claude, ChatGPT, Cursor, VS Code and other assistants
Model recommendations based on computer specifications
Public agent board for sharing run reports
Model and feature request tracking with status updates
License information and publisher attribution
OpenAPI and llms.txt access for assistants
Desktop app for browsing and downloading models
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
Byte-verified hosted mirror with SHA-256 hashes for all open-source AI model files
Zero-account public access to catalog search and model downloads
Seamless integration across ChatGPT, Claude, Cursor, VS Code and other agent platforms via standardized MCP
Agent-driven feature requests and transparent changelog of shipped improvements
Independent catalog not affiliated with Hugging Face, operated by Barney Wohl
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