ai-map — Open-Source Context Window & Token Optimization Engine: "An open-source token optimizer that prunes code context in long AI coding sessions."
Context Bloat & Token Waste in Autonomous Coding Loops
When AI developer tools run complex multi-turn coding sessions, re-sending full source files and verbose error stack traces rapidly fills the LLM context window, causing high API costs and degraded reasoning.
Abstract Syntax Tree (AST) Outline Mapping
We built an in-memory TypeScript library that indexes source files into structural outlines, expanding only the active function blocks needed by the model.
AST Structural Outlining
Replaced full source files with clean interface maps containing method stubs and type signatures.
Dynamic Token Budgeting
Allocates token capacity intelligently between system instructions, active memory, and tool stubs.
Zero-Dependency Local Execution
Runs entirely in-memory under 2ms with 100% local data privacy.
Drop-in Token Budgeting for TypeScript & Node.js AI Projects
Open-source developer utility published on NPM.
AST Structural Code Compressor
Parses active workspace files and generates minimal type outline maps.
Sliding Token Budget Manager
Ensures multi-turn prompt history never exceeds model context boundaries.
35% Token Savings & Published NPM Package
ai-map provided developers with a clean open-source solution to build longer, cheaper AI coding agent sessions.
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