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codebase-intelligence

Here are 28 public repositories matching this topic...

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。

  • Updated Mar 31, 2026
  • Python
Assistant

🌼 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.

  • Updated Nov 11, 2026
  • Python

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.

  • Updated Oct 24, 2026
  • Python

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.

  • Updated Oct 21, 2026
  • Python

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.

  • Updated Nov 13, 2026
  • Python

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」。

  • Updated Nov 4, 2026
  • Python

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.

  • Updated Jul 2, 2026
  • Python

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.

  • Updated Nov 13, 2026
  • Python

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

  • Updated Oct 29, 2026
  • Python

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.

  • Updated Apr 27, 2026
  • Python

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