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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。
🌼 AI stack centered on an agent hypervisor. Automates tasks, graph-powered repo wiki, and Q&A, and searches across all your connected tools. Access it from browser, terminal, or API.
Live structural code graph for AI agents — one-curl install wires MCP + an agent skill into Claude Code, OpenCode, Codex and Cursor. Indexes a 96k-file Linux kernel tree in 2m51s on a laptop Intel i7; sub-ms structural queries from a memory-mapped graph.
A comprehensive repository intelligence platform that transforms software projects into actionable insights and a searchable Knowledge Graph for faster understanding, navigation & analysis.
Local-first code intelligence over MCP: BM25/FTS5 + AST graph, impact analysis, project memory and safe writes. Text-first by default; optional dense. Works with OpenCode and Zed.
Give AI coding agents a map before they read your code. Statically maps your codebase structure and dependencies, enriches components with LLM summaries, and links Git commits/Jira tickets to nodes. Optimizes agent context windows and token usage with compact, queryable JSON blueprints.
Local-first code graph and change impact analysis for AI coding agents. MCP server, SQLite, tree-sitter. Python and TypeScript. Every edge carries evidence and a confidence label.
Event-driven runtime prototype for maintaining accurate shared context about software systems. Local control plane in-process, durable storage and connectors not yet implemented.
An AI-powered, local-first codebase intelligence platform that combines AST analysis, knowledge graphs, semantic code search, GraphRAG, and blast-radius impact analysis to help developers understand codebases and predict change impact.