CodeAtlas FAQs

Question 1

How does CodeAtlas provide persistent memory for AI assistants?

Accepted Answer

CodeAtlas implements persistent AI memory by saving crucial project context like architecture maps, module definitions, feature traces, and change logs to a dedicated '.agents/memory/' directory. This allows AI assistants to instantly restore full context and build upon past conversations.

Question 2

What is CodeAtlas and what problem does it solve?

Accepted Answer

CodeAtlas is an MCP server that equips AI assistants (e.g., Gemini, Claude, Cursor) with a profound understanding of your codebase and persistent memory. It solves the problem of AI forgetting project context between conversations, enabling it to analyze code, understand architecture, and recall changes efficiently.

Question 3

How does CodeAtlas enhance AI assistant capabilities for developers?

Accepted Answer

CodeAtlas transforms AI assistants into truly intelligent collaborators. It allows them to instantly understand your project's architecture, dependencies, search entities, trace feature flows, and retain context across sessions, significantly boosting developer productivity and code quality.

Question 4

Which AI assistants and programming languages are supported by CodeAtlas?

Accepted Answer

CodeAtlas seamlessly integrates with leading AI assistants including Gemini, Claude, Cursor, Windsurf, and VS Code Copilot via the Model Context Protocol (MCP). It provides comprehensive analysis for TypeScript/JavaScript, Python, PHP, and Blade Templates.

Question 5

What kind of code analysis and visualization features does CodeAtlas offer?

Accepted Answer

CodeAtlas provides 10 powerful tools, including deep entity search, dependency mapping, code quality insights, and the generation of architecture diagrams (Mermaid) for system and feature execution flows. It makes complex codebases easily digestible for AI.

CodeAtlas

CodeAtlas

主要功能

使用案例

主要功能

使用案例