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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
Microbase is a Grid infrastructure for deploying massively parallel applications. Our notification-driven task scheduler supports the enactment of complex data processing workflows, such as those commonly used in bioinformatics.
SimKernel controls parameter scans and iterations for any given C++ code / scientific simulation. Parameters, iteration ranges, settings and dependencies are specified in Mathematica syntax. Parallel processing of parameter scanning via MPI.
Meerkat is a distributed programming environment. It consists of a virtual machine which is suited to parallel processing. The data model is based on the concept of actors, although it is much more permissive than the traditional description.
Titan allows service-oriented processing of context recognition applications on Wireless Sensor Networks. It includes an execution environment developed for TinyOS and a Java ME (Personal Profile) Network Manager intended to be run on a mobile phone.
Supply chain managers, executives, and businesses seeking AI-powered solutions to optimize planning, operations, and decision-making across the supply
Logility is a market-leading provider of AI-first supply chain management solutions engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. The company’s approach is designed to reimagine supply chain planning by shifting away from traditional “what happened” processes to an AI-driven strategy that combines the power of humans and machines to predict and be ready for what’s coming. Logility’s fully integrated, end-to-end platform helps clients know faster, turn uncertainty into opportunity, and transform the supply chain from a cost center to an engine for growth.
Let's you synchronize related scheduled jobs, which execute across many different machines. Instead of adding time padding between jobs (which can fail), use this utility. Please feel free to add more functions!
This project provides an instant java cluster, a batch-processing application for tasks written in Java with automated class distribution. Go to http://javacluster.sourceforge.net/ to see more!
This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.
The Cell Messaging Layer is an extremely fast, MPI-like communication library for clusters of Cell Broadband Engine processors. With it, any Cell synergistic processing element (SPE) can communicate directly with any other SPE, even across a network.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
The Simple, Scalable, Script-based Science Processor for Measurements (S4PM) is a system for highly automated processing of science data, scalable up to large processing systems and scalable down to small, special-purpose processing strings.
This project aims to create a method able to determine the most frequent word phrases in a large source of text data (>5 Gb) using the computational power of multiple processors.
Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
DolphinNet is an easy to use server and distributed processing library for Java. It uses objects to communicate between a client and server. DolphinNet approaches this task using object serialization over a standard TCP/IP connection.
Collection of Java tools and packages related to server-side (web application-oriented) XML processing, such as Adaptive XML Inclusions system with demo.
Tools for personalization of XML content, Java-XML data binding and others will come later.
UniNet is an open source project created to achieve an open dCPMS (Distributed Contents & Processing Management System). [http://uninet.sourceforge.net]
A light weigth high performance cluster server to link several Java machines into one logical unit. Medusa does not compete with J2EE servers but allows clustering of standard Java code for fail-over, redundancy and processing power.
The DataTime Process Framework is intended to support the processing of time-based data in a modular, concurrent, distributed and extensible manner. C++, using YARP, ACE, Qt and MUSCLE on Linux, OSX, Windows and Solaris.
Allows creation of a distributed data processing system. Provided is a pluggable Daemon and a framework for writing custom plugins. Plugins can be changed and configured remotely and on the fly. Configurations with example plugins are provided.
nemosomen is a framework for designing open source, network based, multimedia (video/openGL/sound/MIDI) realtime toys
a suite of tools for distributed development, processing of media. It tries to shift most of the working process in realtime processes.
Java package containing architecture to distribute CPU intensive processing tasks across the internet. A generic client will be capable of running any task the server provides it, automatically updating the code it runs.
The project focuses on developing an environment where one can harness idle CPU cycles of numerous networked systems to work together on a particularly processing-intensive problem. (distributed computing you may call it)