token savings

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

A Topos case study showing how a guided refactor of a synthetic healthcare claims engine reduced token usage, wall time, and estimated cost for later Gemini feature sessions.