Hound is a source code search engine that combines a Go backend with a React frontend to deliver fast full-text search across repositories.
Hound solves the problem of slow code searching by using a trigram index approach based on regular expression matching techniques. The backend maintains an up-to-date index for each configured repository and exposes a minimal API that the frontend queries. This architecture keeps search latency low while keeping the system simple to deploy and operate.
The tool suits teams and individuals who need to search across multiple repositories without complex infrastructure. It requires only Go to run, making it lightweight compared to alternatives that demand extensive software dependencies. Hound supports multiple version control systems including Git, Mercurial, SVN, and Bazaar, as well as local filesystem repositories. It can index private repositories and runs behind reverse proxies like Apache or nginx for production deployments. The web interface is accessible by default at localhost:6080, and Docker images are available for containerized deployment.
Development activity in the project is dominated by enhancement work, indicating an ongoing focus on expanding capabilities and improving the tool's functionality.
