~97% token reduction for AI coding sessions — zero deps, 33 languages, MCP server

Stop your coding agent reading the wrong files. Compiler-grade TS/JS repo map — 100% precision on blast radius vs grep's 60%, measured on public repos. CLI + MCP server, fully local, no vector DB.

Parse code context in a single line of javascript, for functions, variable declarations, methods, prototype properties, prototype methods etc.

The understanding layer for your repo: an MIT reader (@spiderbrain/read) and the .spiderbrain/ format spec. A committed, source-free map an AI agent reads with zero setup.

A privacy-first tool to convert local codebases into a single, structured prompt for AI models. Runs 100% in your browser. No uploads required.

Local-first code context CLI + MCP server: discover, index, and search repos; generate task-aware context packs, code maps, agent harnesses, and PR-review/merge-readiness gates for coding agents and reviewers.

Deterministic dual-edge code-context graph for AI coding sessions — code edges + capability edges (string-keyed registries imports can't see). Zero LLM tokens. AGPL-3.0.

https://projecteuler.net solutions