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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.
Local hybrid search and SQL aggregation for code agents.
Enable AI agents and IDEs to search codebases with hybrid retrieval and precise line-level citations.
Use an auditable lightweight code agent for coding, planning, search, and debugging.
Offline code retrieval and structural analysis tools for AI agents with fewer tokens.
Search code with natural language and get precise ranked file-line matches.