Search Results for "linux windows agent"
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Showing 27 open source projects for "linux windows agent"
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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. The skill can also fetch page... -
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truffleHog
Searches through git repositories for high entropy strings and secrets
truffleHog searches through git repositories for high entropy strings and secrets, digging deep into commit history. TruffleHog runs behind the scenes to scan your environment for secrets like private keys and credentials, so you can protect your data before a breach occurs. Secrets can be found anywhere, so TruffleHog scans more than just code repositories, including SaaS and internally hosted software. With support for custom integrations and new integrations added all the time, you can... -
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turbovec
A vector index built on TurboQuant, written in Rust with Python
turbovec is a Rust-based vector index with Python bindings for fast similarity search. It is built around TurboQuant, a quantization approach designed to reduce vector storage while preserving useful distance information. The project targets workloads where embedding search needs to be compact, efficient, and practical to integrate into Python applications. It avoids a separate training phase for the quantizer, which can simplify setup compared with systems that require codebook learning.... -
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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. The system... -
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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DocFetcher
Desktop search application
DocFetcher is an Open Source desktop search application: It allows you to search the contents of files on your computer. — You can think of it as Google for your local files. The application runs on Windows, Linux and Mac OS X. -
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FreeAskInternet
FreeAskInternet is a completely free running search aggregator
FreeAskInternet is a self-hosted search and answer application that combines web results with large language models. A local SearXNG instance sends queries to multiple search engines and returns a broader collection of sources. The backend crawls selected pages, supplies their content to a configured model, and streams a synthesized response to the chat interface. It supports several hosted model services as well as custom local backends such as Ollama and llama.cpp. The web interface is... -
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DeepSearch5Plus
Search recursively all files, text inside files, and bookmarks
Files, text, and bookmarks html/json search tool. It is able to merge duplicated bookmark links from multiple html/json files and export to html. The user interface is designed to be used by kyeboard in any aspect of its features scrolling list, select input field, menu bar, check and drop-down menu and so on. It's able to printout search list to pdf or system printer or save as text file. It allows to rename single file or change upper/lower case, join spaces in bulk mode with multiple... -
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ENAS in PyTorch
PyTorch implementation of "Efficient Neural Architecture Search
ENAS in PyTorch is a PyTorch implementation of Efficient Neural Architecture Search (ENAS), a method that automates the design of neural network architectures through reinforcement learning and parameter sharing. The repository demonstrates how a controller network can explore a large search space and discover high-performing architectures while dramatically reducing the computational cost traditionally associated with neural architecture search. It is primarily intended as a research and... -
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pyFileSearcher
simple searching tool for big fileservers
...A tool that I personally could use on large corporate servers to find out - which files have taken all my space in the last few days? It's free, it's opensource, it's for linux and windows. The program is written in Python 3 using the Qt5. -
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Reggata
Tagging system for local files
Reggata is a tagging system for managing local files on a computer. Use it for organizing your huge collections of music, ebooks and photos (or any other files) with tags. TESTERS NEEDED! Help the project: submit BUGS and request NEW FEATURES here https://github.com/vlkv/reggata/issues Send me your FEEDBACK vitvlkv@gmail.com !!! -
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Setra
Password protected zip file cracker.
Setra is a cross-platform command line utility used to brute-force password protected zip file. It is written in the Python programming language. -
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Advanced Mass File renamer
This is a mass file renamer utilizing regular expression power.
This is a python based UI application that can rename a part of a set of files inside a directory based on the provided regular expression. This gives a lot more flexibility compared to other renaming files since it used grouping principle. This had two level of applying the rename, first stage shows who it will be when you rename it, if you are fine with the change you can make it permanent by clicking commit. This avoid the risk of file getting corrupted. To rename all .py file to .pyc... -
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Document summarization system. By adding document content to system, user queries will generate a summary document containing the available information to the system.
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Jake is a console based app written in python and qt4. Plugins will let you do almost anything, for example, search in google, translate, view images, talk with it (aka AI bot). Also, skining system will let you choose how should jake look.
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Shell Search is an efficient file search program written in python. It is supported both on Windows operating systems as well as Linux. It has not been tested on mac, but it should still work properly.
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csart - Clever-Search-And-Replace-Text Search, find and replace text in named files or recursive in all directories (-r). If choosen, strings are only replaced if another key-string occures in the line (-w)
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PyQFindReplace is a python based find and replace utility. It allows you to select files and folders. You can replace text in several thousands of files in one click. It has a pretty neat UI
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Nucular Archiving System for creating full text indices for fielded data. Python API, web, and command line interfaces. Fast. Very light weight. Concurrent read/writes with no possible locking issues. No server process. Proximity. Facets. Funny name.
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This is a Python cli command line utility that allows you to search for Java classes/files and packages in jar/ear/war 's on your system under a specific directory / path All docs are on the wiki: http://javaclassfind.wiki.sourceforge.net/
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Create email archives getting IMAP mailfolders or POP3 mailboxes. Search emails by sender/receiver/subject/body among already existing backup files (i.e. on dvd) in plain or compressed format. Tested on Linux-x86, Linux-PPC and Windows-XP platforms.
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****** PLEASE NOTE ****** Fileextractor has moved to github: http://wiki.github.com/kichkasch/fileextractor ****** Recover your data: FileExtractor extracts files from binary data sources. It supports you with recovering your pictures from a corrupted or
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A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
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