dtsola/xiaoyaosearch
小遥搜索,听懂你的话、看懂你的图,用AI找到本地任何文件。让搜索像聊天一样简单。XiaoyaoSearch: Understands your words, reads your images, finds any local file with AI. Making search as easy as chatting. observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 83
- Release rhythm 81
- Longevity 21
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 6.5
- age_days: 295
- days_rel: 131
- days_push: 103
- n_releases_24m: 13
Adoption not part of the score
1083 stars · 60 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
XiaoyaoSearch is a cross-platform desktop application (Electron + Python/FastAPI) that lets users find local files using AI-powered semantic search with text, voice, or image queries. It combines hybrid retrieval (Faiss vector search + Whoosh full-text) with models like BGE-M3, FasterWhisper, and CN-CLIP to index and search documents, audio, and video entirely on the local machine, and exposes itself as an MCP server and Agent Skill for AI assistants.
Use cases
- find any file on my computer by describing it in natural language
- search the contents of pdf, office, and markdown documents locally with AI
- search local files by speaking instead of typing
- locate a video or audio file by what is said or shown in it
- find files using an image as the search query
- let Claude Desktop or Cursor search my local files through MCP
- run private semantic file search offline without uploading my data
- improve recall for domain jargon and synonyms when searching documents
When to choose
- you need AI-powered search over your own local files with strong privacy (local-first, optional cloud APIs)
- you want multimodal querying - voice, text, or image - against documents, audio, and video
- you work with Chinese-language content and want models like BGE-M3/CN-CLIP plus a terminology library
- you want to give AI assistants (Claude Desktop, Claude Code, Cursor) standardized access to local file search via MCP or Agent Skills
When to avoid
- you need an OSI-approved open-source license for commercial use - commercial deployment requires separate authorization
- you need server-side or multi-user enterprise search across a network rather than a single-user desktop tool
- your machine cannot run local AI models and you are unwilling to depend on cloud embedding/LLM APIs
- you want a lightweight file indexer without downloading AI models or index-building overhead
Facets
application · maturity active
search-engine speech-recognition nlp machine-learning llm-inference mcp desktop-applications developer-tools files artificial-intelligence windows cross-platform python semantic-search local-search file-search multimodal-ai voice-search hybrid-search vector-search faiss whoosh ollama mcp-server agent-skills electron-app privacy-first chinese-language search natural-language-processing macos linux desktop
3 sources
- readme: https://github.com/dtsola/xiaoyaosearch · fetched 2026-08-28 · c0e171debf71
- homepage: https://project.xiaoyaosai.com · fetched 2026-08-29 · f26bf9c5317a
- site_page: https://project.xiaoyaosai.com/about · fetched 2026-08-29 · da94d1cfd1a7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| dtsola/xiaoyaosearch | main | 70 |
For agents
markdown · JSON · MCP: product_card(name="dtsola/xiaoyaosearch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem