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CodeCharta is a visualization tool that transforms complex software architecture and code metrics into interactive, customizable visual maps, empowering everyone to communicate and analyze your codebase. Improve code quality, maintainability, and architectural decisions
Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.
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.
CLI-first TypeScript codebase analysis with hotspots, impact, dead-export detection, and architecture metrics. Includes optional MCP server for AI agents.
See any codebase as a map, not a maze — client-side interactive architecture maps. GitHub URL or local folder in, dependency graph + critical path + dead code out. Optional Claude enrichment.
轻量级 AI 编程 Skill 工作流:用 CLASSMAP.md 连接代码职责与改动目标,让 AI 先定位再编码。 / A lightweight AI coding skill workflow that maps code responsibilities with CLASSMAP.md, helping AI target changes before coding.
Hierarchical codebase navigation skill for Claude Code / AI coding agents. Generates per-directory CODEMAP.md index files with structure summaries, key exports with source annotations, and large file deep analysis.
Cortex (formerly Blueprint): local, evidence-backed repository map of code AND documents — find what is true, stale, contradictory, or unknown before changing a system. Neurons/Synapses/Circuits.
Local-first code knowledge graph & MCP server for AI coding agents — maps callers, cross-repo FE↔backend HTTP contracts, and impact across TypeScript, Go, Kotlin & Swift. No embeddings, no cloud.