Skip to content
#

codebase-intelligence

Here are 19 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

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 Aug 1, 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 Aug 5, 2026
  • Python

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.

  • Updated Aug 5, 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

Improve this page

Add a description, image, and links to the codebase-intelligence topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the codebase-intelligence topic, visit your repo's landing page and select "manage topics."

Learn more