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Provide AI coding agents a persistent, queryable local model of repositories.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Atlas" yet — see the docs or source repo.
Use Atlas to analyze this repository and tell me the main modules, directory layout, and where authentication-related code is likely located.
A structure-based overview of the repository, highlighting directories or file areas related to authentication.
Use Atlas to query which modules, entry points, and key dependencies are involved in the order creation flow, without summarizing from reading files one by one.
A structured view of the order flow relationships, helping identify the code locations worth deeper inspection.
First use Atlas to understand the repository structure, then explain which existing components and interfaces should be changed to add a new logging module.
A repository-level list of affected components and suggested changes, instead of relying on a single file.
When developers inherit an unfamiliar project, they can use a queryable repository model to understand module structure and key areas without reading many files first.
Before asking AI to refactor, locate functionality, or estimate impact, Atlas can provide persistent structural context for the codebase.
When an issue spans multiple directories or components, teams can quickly locate related modules through structural queries instead of manually browsing large amounts of source code.
Atlas is a local-first codebase intelligence layer for AI coding agents. It provides a persistent, queryable repository model through an MCP server and CLI, enabling structure queries instead of reading many files.
It is suited for quickly understanding structure in large or unfamiliar repositories, locating module relationships, and giving AI more stable repository context. Its core value is querying structure first, then deciding which files to inspect.
We know it works through an MCP server and CLI, but the provided material does not include installation steps, runtime requirements, or key requirements. Please see the source repository for details.
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