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.
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.
Review systems and architecture, not code, with chorograph
Generates a codebase map from @atlas annotations, validated against a repo-owned concept registry — structural facts that cannot drift.
meta-bonsai generates a pruned ASCII tree that highlights only developer-marked files and directories, keeping ancestor paths to preserve structure.
Local-first context saving for AI coding agents: map first, slice next, retrieve exactly.
See what your coding agents are building: your agent draws a map of the system from the code, a checker keeps it honest, and every pull request says what it did to the shape before you merge.
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
A Claude Agent Skill validator for Claude Code: spec conformance, script testing, quality and security scoring, a Mermaid skill map, and per-skill token cost.
Turn your app into a typed knowledge graph AI coding agents query instead of reading source. Rust CLI, MIT.
Your agents break less code and burn fewer tokens — deterministic call/import graph + 27 MCP tools for coding agents. Claude Code plugin & MCP server; zero deps, runs 100% locally.
To associate your repository with the codebase-map topic, visit your repo's landing page and select "manage topics."