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Build semantic indexes for files and repos so AI can retrieve meaning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Context Lens" yet — see the docs or source repo.
Connect to Context Lens, index this GitHub repository, and find files, explanations, and key code locations related to authentication flow design and access control. Summarize them by theme.
A list of relevant files, semantically matched content, and a thematic summary of the design.
Use Context Lens to index my local project folder, find all documents related to deployment steps, environment variables, and troubleshooting, then create an onboarding guide for a new team member.
Summaries of relevant documents and a clearly structured onboarding guide.
Using Context Lens, search across code and documentation for refund logic after order cancellation. Identify the related implementation, API documentation, and test files, and explain how they connect.
Cross-file semantic search results with a clear map of the business logic flow and related files.
Search code semantically and answer questions about a codebase.
Index codebases locally and retrieve only relevant context for AI coding.
Securely lets AI browse, search, and understand local project files.
Securely read files, browse directories, and run filtered RAG knowledge searches.
Turn local Markdown knowledge into searchable context for AI coding agents.
Manage contextual data in Markdown with metadata for save, search, and retrieval.