sea-team/gofound

Health v2 · maintenance only

Adoption not part of the score

1597 stars · 194 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GoFound is a lightweight full-text search engine written in Go, featuring inverted/forward indexes, built-in Chinese word segmentation (jieba), and LevelDB-based persistence. It exposes an HTTP API, includes a web admin interface, and runs as a single native binary with minimal memory usage compared to Elasticsearch.

Use cases

• add full-text search to a web app without running Elasticsearch
• search Chinese-language content with built-in word segmentation
• run a low-memory search engine on a small server
• query indexed documents over a simple HTTP API
• self-host a search service with a visual admin dashboard
• persist search indexes to disk with millisecond query speed

When to choose

• you need a lightweight, dependency-free alternative to Elasticsearch
• memory footprint and simple configuration matter more than a mature ecosystem
• your content is primarily Chinese and you want built-in tokenization
• you want a single binary with an admin UI and HTTP API

When to avoid

• you need distributed clustering, replication, or horizontal scaling
• you rely on Elasticsearch's rich query DSL, aggregations, or plugin ecosystem
• you need battle-tested enterprise support and extensive documentation
• you require advanced relevance tuning or multilingual analyzers beyond Chinese

Facets

service · maturity active

search-engine http-server nlp databases developer-tools windows self-hosted go full-text-search chinese-tokenization inverted-index leveldb admin-ui lightweight-elasticsearch-alternative search natural-language-processing linux macos docker web-server

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For agents

markdown · JSON · MCP: product_card(name="sea-team/gofound")