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Help AI coding agents retrieve and manage code context and project memory.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ContextAtlas" yet — see the docs or source repo.
Use ContextAtlas to search the current project for code, configuration, and docs related to user authentication and JWT refresh tokens, then summarize key files, call flows, and potential risks.
Relevant code snippets, file locations, dependencies, and a concise summary of the authentication flow.
Use ContextAtlas to read this repository’s project memory and compile an architecture overview, module responsibilities, common development conventions, and must-know onboarding notes.
A newcomer-friendly project brief that explains the system structure and collaboration rules.
Use ContextAtlas observability data to inspect the latest AI coding agent run, identify why context retrieval failed or was inaccurate, and suggest improvements.
A diagnostic report with issue findings, likely root causes, and optimization recommendations.
Read, search, and update codebase documentation context through MCP.
Provide coding agents with persistent encrypted memory, semantic search, and smart context injection.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Search your entire codebase and feed rich context to coding agents.
Search codebases semantically with natural language and retrieve relevant context.
Provides code context, memory, search, and AI tooling for developers.