Discover the best Full Text Search open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
AI search engine and MCP server for bots and agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG. Elasticsearch-compatible API; Corpus Hub serves hundreds of reference memory corpora.
Local-first search across your workspace, built for humans and AI agents.
Sync-in · Sovereign platform for file storage, sharing, synchronization, and collaboration.
Local-first AI agent memory with a knowledge graph, ontology constraints, and traceable reasoning—all in one SQLite file.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Search inside documents, code, and even screenshots - instantly and locally. A free, open-source file launcher with OCR, semantic search, and MCP agent access.
Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.
Spotlight-style local search for everything you saved and forgot: GitHub stars, local files, images, and bookmarks. Privacy-first, no full-disk scanning, fully on-device.
Embedded retrieval library built on Parquet. Fast, efficient, and scalable.
A fast, multi-threaded Redis® and Valkey alternative written in Rust: drop-in compatible, with full-text and vector search built in
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
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
A fully featured full text search engine written in PHP
Document management for small businesses.
The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.
Ruby Client API for Sphinx
seq-db is a scalable and high-performance database designed for storing and querying logs efficiently
10 Claude sessions running. What are they doing? Live dashboard — monitor, cost tracking, search, sub-agent visibility.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.