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Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
AI-native codebase intelligence skills — generate persistent .nexus-map/ knowledge bases and instantly query file structure, dependency graphs, and change impact. Built for Copilot, Cursor, and any tool-calling LLM. 面向 AI 编程助手的代码库感知技能——生成持久化知识图谱,精准查询文件结构、依赖关系与改动影响半径。
CLI-first TypeScript codebase analysis with hotspots, impact, dead-export detection, and architecture metrics. Includes optional MCP server for AI agents.
Intent-aware codebase intelligence for AI assistants. Scans codebases, builds layered semantic indexes with LLMs, and generates skill files (CLAUDE.md, .cursorrules) for instant project context.