codebase-intelligence

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.

Structural Memory Protocol (SMP) — live structural code graph for scalable, safe AI agents.

AI-powered codebase intelligence platform replacing vector chunking with Vectorless RAG via AST graph traversal. Features multi-agent LangGraph workflows, interactive Neo4j NVL graph visualizer, 3-hop blast radius analysis, and automated architectural PDF report generation.

Codebase knowledge graph tool — 36+ languages, 9+ LLM backends, MCP server, 20+ AI assistant integrations

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.

A comprehensive repository intelligence platform that transforms software projects into actionable insights and a searchable Knowledge Graph for faster understanding, navigation & analysis.

Git repository intelligence CLI for analyzing contributors, code ownership, hotspots, and codebase risk.

每个 AI agent 都会读文件，但很少有 agent 知道哪些文件总是一起被修改、哪个决定是哪一天做的。repowise 把依赖图、Git 历史和架构决策编成一张可查询的地图，通过 MCP 递到 agent 手里。它回答的不是「这个文件写了什么」，而是「这段代码为什么长这样」。

Visual Architecture Yielding Understanding — graph-powered file explorer that flies through code

Intelligent codebase search & indexing for Zed. Async MCP server featuring LanceDB/BM25 hybrid search, multi-bucket RAG, and autonomous self-healing workflows. High-performance, memory-safe, and ready for your production code.

Deep project scanner for Hermes Agent — generates AGENTS.md, CLAUDE.md, and Obsidian vault notes

Open-source project awareness engine for AI coding tools via compressed codebase context, MCP, and editor integrations.

Event-driven runtime prototype for maintaining accurate shared context about software systems. Local control plane in-process, durable storage and connectors not yet implemented.

Autonomous software engineering pipeline for Claude Code: 11 stages, 64 verification rules, 17 codebase intelligence tools, 5 science-backed git analytics. Findings → PRD → verified PR with zero LLM judges.

自托管 AI Agent 工作台：RAG、记忆、工具审批、LLMOps、Gemini 与代码库智能。Self-hosted AI Agent workspace with RAG, memory, approvals, LLMOps, Gemini & codebase intelligence.

🧠 Universal AI-powered codebase brain - understand any codebase instantly

Production-grade CLI extracting 31k+ functions, 182k call graphs, complexity scores from Python codebases (Django-scale)

Codebase intelligence and RAG search platform with AST symbol chunking, hybrid retrieval, and cross-file call-path tracing.

Semantic codebase graph engine — MCP server for Claude Code