Search Results for "search"
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Showing 890 open source projects for "search"
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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1
Whoogle Search
A self-hosted, ad-free, privacy-respecting metasearch engine
Get Google search results, but without any ads, javascript, AMP links, cookies, or IP address tracking. Easily deployable in one click as a Docker app, and customizable with a single config file. Quick and simple to implement as a primary search engine replacement on both desktop and mobile. Autocomplete/search suggestions. POST request search and suggestion queries (when possible). -
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
Search with Lepton is an open source demonstration project that shows how to build a conversational search engine using the Lepton AI framework. It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. -
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rag-search
RAG Search API
rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. ... -
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MCP Everything Search
An MCP server that provides fast file searching capabilities
Everything Search MCP Server is an MCP server that provides fast file searching capabilities across Windows, macOS, and Linux. On Windows, it utilizes the Everything SDK; on macOS, it leverages the built-in mdfind command; and on Linux, it uses the locate or plocate command. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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5
Deep Search Agent
Implement a concise and clear Deep Search Agent from 0
Deep Search Agent is an experimental demonstration project that showcases an autonomous AI agent designed to perform multi-step research and information gathering tasks. The repository illustrates how large language models can be orchestrated with tools and planning logic to execute complex search workflows rather than single-prompt responses. -
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SearXNG
Free internet metasearch engine which aggregates
SearXNG is a free and open-source metasearch engine designed to aggregate results from multiple search engines while prioritizing user privacy and anonymity. Instead of maintaining its own index, it queries numerous external search providers and merges the results into a single interface, increasing coverage and diversity of information. One of its core principles is privacy, as it does not track users, store personal data, or create search profiles, making it a strong alternative to traditional search engines. . ... -
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qBittorrent RuTracker plugin
qBittorrent search engine plugin for rutracker
qBittorrent RuTracker plugin is a lightweight search engine extension designed to integrate the RuTracker torrent index directly into the qBittorrent client, allowing users to search for torrents without leaving the application interface. The plugin follows qBittorrent’s official search plugin architecture and is implemented as a Python script that communicates with the RuTracker website to retrieve and display search results. -
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Anna’s Archive
Comprehensive search engine for books, papers, comics, magazines
Anna’s Archive is a large-scale open-source search engine and data aggregation platform designed to index and provide access to a vast collection of books, academic papers, comics, magazines, and other digital texts through a unified interface. The project includes all the infrastructure required to run a full instance locally or in production, combining web servers, databases, and search indexing systems into a scalable architecture. -
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SiteDorks
Automate search engine dorking across hundreds of websites
SiteDorks is a command line tool designed to automate advanced search queries across multiple search engines and websites. It allows users to perform search engine “dork” queries against a large set of predefined domains, making it easier to discover publicly available information across different platforms. SiteDorks supports several major search engines including Google, Bing, Brave, Ecosia, DuckDuckGo, Yahoo, and Yandex. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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theHarvester
E-mails, subdomains and names
theHarvester is a very simple to use, yet powerful and effective tool designed to be used in the early stages of a penetration test or red team engagement. Use it for open source intelligence (OSINT) gathering to help determine a company's external threat landscape on the internet. The tool gathers emails, names, subdomains, IPs and URLs using multiple public data sources. -
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Robin
AI-powered tool for dark web OSINT search and investigation
Robin is an AI-powered open source tool designed to assist investigators and researchers in conducting dark web OSINT (Open Source Intelligence) investigations. It combines automated dark web search capabilities with large language models (LLMs) to analyze and summarize information discovered across hidden services and Tor-based search engines. The tool helps refine investigative queries, collect results from multiple dark web sources, and filter relevant intelligence using AI-driven processing. Robin also performs scraping of discovered pages through Tor sessions, allowing users to gather additional context from dark web sites while maintaining the required network routing. ... -
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AnySearch Skill
Unified real-time search engine skill for AI agents
AnySearch Skill is a real-time search engine skill for AI agents. It gives agents a structured way to search the web, run vertical searches, perform parallel batch searches, and extract full-page content. The project is packaged as a skill rather than a standalone search application, so it is meant to be installed into compatible AI-agent environments. It supports multiple domain-specific search categories, making it useful when general web search is too broad. ... -
13
yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
14
txtai
Build AI-powered semantic search applications
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). ... -
15
Tribler
Privacy enhanced BitTorrent client with P2P content discovery
...It introduces built-in anonymity using a Tor-like onion routing network and integrates its own blockchain for economic incentives and trust management. Tribler supports standard torrenting features along with distributed search, self-contained channels, and peer reputation. Its goal is to provide a fully autonomous file-sharing network without relying on external servers, search engines, or trackers. -
16
owllook
Vertical novel search engine with unified reading and tracking tools
...It aggregates results from multiple search engines and applies parsing rules to extract novel metadata, chapters, and content in a consistent format. Owllook also includes functionality for tracking reading history, displaying rankings based on search activity, and recommending books using a similarity-based approach. Owllook is built using asynchronous technologies to support efficient data retrieval and responsive interactions while reading or searching. -
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yt-fts
Search all of YouTube from the command line
...The tool returns search results with timestamps and direct links to the exact moment in the video where the phrase occurs. In addition to traditional keyword search, the system supports experimental semantic search capabilities using embeddings from AI services and vector databases. This allows users to search videos by meaning rather than only exact keywords. -
18
marqo
Tensor search for humans
...It can seamlessly handle image-to-image, image-to-text and text-to-image search and analytics. Marqo adapts and stores your data in a fully schemaless manner. It combines tensor search with a query DSL that provides efficient pre-filtering. Tensor search allows you to go beyond keyword matching and search based on the meaning of text, images and other unstructured data. Be a part of the tribe and help us revolutionize the future of search. -
19
Swirl
Swirl queries any number of data sources with APIs
Swirl queries any number of data sources with APIs and uses spaCy and NLTK to re-rank the unified results without extracting and indexing anything! Includes zero-code configs for Apache Solr, ChatGPT, Elastic Search, OpenSearch, PostgreSQL, Google BigQuery, RequestsGet, Google PSE, NLResearch.com, Miro & more! SWIRL adapts and distributes queries to anything with a search API - search engines, databases, noSQL engines, cloud/SaaS services etc - and uses AI (Large Language Models) to re-rank the unified results without extracting and indexing anything. ... -
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KerasTuner
A Hyperparameter Tuning Library for Keras
KerasTuner is an easy-to-use, scalable hyperparameter optimization framework that solves the pain points of hyperparameter search. Easily configure your search space with a define-by-run syntax, then leverage one of the available search algorithms to find the best hyperparameter values for your models. KerasTuner comes with Bayesian Optimization, Hyperband, and Random Search algorithms built-in, and is also designed to be easy for researchers to extend in order to experiment with new search algorithms. -
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turbovec
A vector index built on TurboQuant, written in Rust with Python
...TurboVec is useful for developers building retrieval, ranking, semantic search, recommendation, or AI memory systems. Its main value is combining Rust performance with a Python-facing workflow for modern vector search experiments and applications. -
22
ROMM
A beautiful, powerful, self-hosted rom manager and player
ROMM is an Android productivity launcher replacement that focuses on giving users faster, easier access to apps, contacts, and information through intuitive gestures, smart search, and contextual suggestions. It reimagines the home screen with adaptive layouts, predictive app recommendations, and dynamic organization so that frequently used tools are always within reach. The launcher includes a powerful universal search that combs through installed apps, contacts, messages, and web results to deliver quick answers without switching contexts. ... -
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DeerFlow
Deep Research framework, combining language models with tools
DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”) that collaborate in a structured workflow, allowing tasks like literature reviews, data gathering, data analysis, code execution, and final report generation to be largely automated. ... -
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MCP Server Qdrant
An official Qdrant Model Context Protocol (MCP) server implementation
The Qdrant MCP Server is an official Model Context Protocol server that integrates with the Qdrant vector search engine. It acts as a semantic memory layer, allowing for the storage and retrieval of vector-based data, enhancing the capabilities of AI applications requiring semantic search functionalities. -
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MemU
MemU is an open-source memory framework for AI companions
MemU is an agentic memory layer for LLM applications, specifically designed for AI companions. Transform your memory into an intelligent file system that automatically organizes, connects, and evolves with your memories. Simple, fast, and reliable memory infrastructure for AI applications. Powerful tools and dedicated support to scale your AI applications with confidence. Full proprietary features, commercial usage rights, and white-labeling options for your enterprise needs. SSO/RBAC...
