1.yjid / kensaku
Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access.
Ranked by Attention Score: stars gained over the last 7 complete days
15 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access.
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
Win顺:免费开源的 Windows 快速搜索启动器。双击 Ctrl,拼音秒搜文件、全文搜索 Word/Excel/PDF、剪贴板历史(代替 Win+V)、对话框搜索、任务栏搜索、插件、AI 助手 MCP。Free Windows search launcher: pinyin file search, full-text search, clipboard history, MCP server. Everything/Listary alternative.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Sync-in · Sovereign platform for file storage, sharing, synchronization, and collaboration.
Next-generation full-text search library for Browser and Node.js
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
A modern, feature-rich, databaseless flat-file wiki platform built with Go.
ACID Document Database
A bit like Solr, but much smaller and not as bright
A fully featured full text search engine written in PHP