kantord/SeaGOAT — Local-first semantic code search engine

Description and use

SeaGOAT is a local‑first semantic code search engine that lets developers quickly find relevant code snippets across their own repositories without sending data to external services. By leveraging AI/ML models for natural‑language understanding, it indexes source files and provides context‑aware results directly on the user's machine, ensuring privacy and low latency. The project is open source and suited for teams that need fast, offline code discovery and exploration.

Problem

kantord/SeaGOAT helps make internal knowledge searchable and usable by assistants.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• index knowledge bases
• improve search over documents
• ground assistant answers

Evidence

local-first semantic code search engine

Source