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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, runs graph-powered docs and Q&A, and searches across all your connected tools. Access it from browser, terminal, or API.
High-performance, memory-safe, and native async Python MCP server for Zed IDE on Windows. Features multi-bucket RAG, hybrid LanceDB/BM25 search, dynamic re-ranking, and O(1) status caching.
Event-driven runtime prototype for maintaining accurate shared context about software systems. Local control plane in-process, durable storage and connectors not yet implemented.
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.
AI-powered project manager that analyzes your codebase, generates summaries, and helps you resume work on dormant projects. Supports local Ollama and 7+ cloud LLM providers.
Turn any codebase into a team's AI infrastructure in 3 days — 3 Claude Code skills that produce human docs, agent-consumable KB (Karpathy papers), and a polished showcase SPA.