AtlasMemory turns a local repository into an MCP-accessible memory layer that an agent can index, search, enrich, and query before making claims about the code. Its distinguishing workflow is evidence-backed retrieval: answers can be tied to file paths, line ranges, and content hashes, which helps the agent pull the right context, verify claims, and avoid drifting across long or repeated coding sessions.

The boundary is narrow enough to be a skill rather than a product card. Invoke it when the task is grounded codebase recall and citation-backed repo exploration, not when you want a generic IDE extension, a broad knowledge platform, or an all-purpose agent framework. The job-to-be-done is to build trusted, repo-local memory before asking the agent to reason over a large codebase.