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Understand, search, and analyze large codebases locally and securely.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "chunkhound" yet — see the docs or source repo.
Search this local codebase for implementations related to user permission validation. List the key files, important functions, and explain the call flow.
A list of relevant source locations, key function explanations, and a summary of the permission-checking call chain.
Review this project's directory structure, identify the main modules, describe their responsibilities, and explain dependencies between them.
An architecture summary, module responsibility breakdown, and a clear explanation of dependency relationships.
I plan to refactor the pricing module in the order service. Find all files, interfaces, and tests that depend on it, and summarize the potential impact.
A list of impacted code, related test coverage, and a summary of refactoring risks and impact areas.
Connect AI coding assistants to your local codebase for semantic Q&A.
Generate budget-aware reports and datasets with a multi-model research harness.
Identify remotely exploitable, bounty-worthy security issues in code repositories.
Query and understand large codebases with a fast knowledge graph for AI agents.
Analyze, search, and understand local code repositories with agent-first intelligence.
Search codebases semantically and find relevant snippets with source locations.