Introducing Supermodel: persistent Code Graphs for AI agents.
Architectural knowledge that survives compactions and resets.
→ Sub-second graph queries
→ Zero data retention
→ MCP server for Cursor, Claude Code, Codex, Hermes, etc.
what [@supermodeltools] is building?
most AI coding tools are still guessing
todays AI can write code but it doesn’t truly understand your codebase
➠it misses dependencies
➠breaks things silently
➠ and struggles at scale
supermodeltools is trying to fix that by building a way to turn your entire codebase into a structured map AI can read
here is how it works
your code → analyzed → transformed into graphs
➫ which functions call each other
➫ how files depend on each other
➫ how data flows through the system
simple shift for AI from
“this might work” to “this is exactly how it works”
My friend Abe has been working hard on a new ai thing that I used:
1. It helps me clean dead code
2. It helps me plan and organize my Claude code projects
3. The projects run faster and more efficiently
4. It reduces overall token usage by 50% so I can use Claude even more
Hello new followers, if you're here for code mapping and graph technology you are in the right place. If you want to contribute check out our mapping cli
https://t.co/quX2OxiPzZ