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Enable fast hybrid code search for agents with precise code context retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ken" yet — see the docs or source repo.
Use ken to search the current repository for implementations related to "HTTP client retry logic with caching". Return the most similar code snippets first and explain each result's file path and purpose.
Ranked code results with key snippets, file locations, and purpose explanations.
Use ken to find the entry functions, main call chain, and related modules for the "user login authentication flow" in this project, organized by the most likely paths.
Core entry points, call relationships, and a list of related files for the login flow.
Use ken to search for all implementations related to "config loading, parsing, and environment variable overrides" in the project. Summarize duplicated logic and list candidates suitable for refactoring.
A summary of related implementations, duplicated patterns, and suggested refactoring targets.
Search code quickly and accurately while using far fewer tokens.
Query and understand large codebases with a fast knowledge graph for AI agents.
Run local semantic search and call graph analysis across codebases.
Search code semantically across 40+ languages with context expansion and hybrid retrieval.
Search code lexically and semantically for faster AI-assisted code discovery.
Index codebases with AST awareness and retrieve code context via semantic search.