Agent-first, zero-dependency, self-maintaining codebase documentation & change tracking system. LLM-operated wiki with health matrix, semantic record-change, heartbeat monitor, and static dashboard.
meta-bonsai generates a pruned ASCII tree that highlights only developer-marked files and directories, keeping ancestor paths to preserve structure.
Extends Unix tree so every file shows its one-line concern and boundary, giving a separation-of-concerns overview of the whole workspace at a glance. A fast, enforceable map for AI agents.
Local-first context saving for AI coding agents: map first, slice next, retrieve exactly.
Turn your app into a typed knowledge graph AI coding agents query instead of reading source. Rust CLI, MIT.
Structural analysis for codebases. Produces dependency graphs, class hierarchies, and cross-boundary coupling maps via language plugins -- compressed into token-efficient formats for LLM context windows. Multi-format output including TOON.
Interactive visualization tool for AIReady codebase analysis
Add a description, image, and links to the codebase-map topic page so that developers can more easily learn about it.
To associate your repository with the codebase-map topic, visit your repo's landing page and select "manage topics."