#278 · Primary category: AI Coding Assistants
SeaGOAT
local-first semantic code search engine
Project last updated:08/28/26
GitHub Stars
1.3K
Forks
91
Contributors
26
License
MIT
Why we included this project
SeaGOAT is a code search tool for people who want to ask their codebase questions, not just match patterns. You start a local server per repository, it builds vector embeddings of the code, and plain-language queries like "where are the numbers rounded" work alongside classic regular expressions when you need exact control. Everything runs on your machine, so teams with private or proprietary code don't have to send source to a cloud API. Output handling is a nice touch: results render through bat when color is on, drop to grep-style formatting in pipelines, and the server's HTTP API lets you build custom retrieval features on top. It also factors in Git history when ranking results, so finding your way around an unfamiliar repository becomes a targeted search rather than a hunt.
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