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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.
The Jini Resource Access Project project provides novel enhancements for Jini and RMI class loading. A protocol handler and a resource service enable dynamic retrieval of resource bytes and local caching of downloaded class libraries.
Powerful platform for creating networked multiplayer 3D games. The system includes specifications for a client engine and 2 protocols. Demo apps: mud/moo proxy, tetris. Currently uses OpenGL, VRML, java, tcl. Client/server architecture for security.
JFIPA is intended to be a scalable, easy-to-deploy router and parser of messages between agents using the FIPA Agent Communication Language represented as XML
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.
Provides fast lookup for a Subject Based messaging product using a trie. It allows for configurable wildcard characters to replace a single or multiple subject field(s) (A.B.*.D.>). Insertion in to the tree returns a unique handle for subsequent deletion
An audio server based on a plugin architecture supporting features like network synchronisation between multiple instances, shared database and the usual like equalizer, crossfader, etc.
Utilizing bot-net philosophy in a good way by packaging open source software into highly secured, ready-to-run specialized virtual machines and building infrastructure to manage them. Sort of IT Lego )))) We make IT simple!!!
Jupp is a Distributed Hash Table focusing on high throughput. It's main characteristics are:
1. Mechanisms for congestion control
2. O(log n) routing for arbitrary peer distributions in the ID space.
jvmShare is aiming to provide a server-client system that shares resources across the network. Since it is written in Java, clients shares their resources by providing their JVMs to the central server. The server will schedule tasks to these clients.
Hydra Cache is a distributed cache implementation based on the design of Amazon Dynamo. Hydra is designed to provide a highly available, scalable, reliable and decentralized distributed cache solution for large high performance enterprise application.
Anicetus is an application telemetry framework. Anicetus defines a language neutral standard for publishing streams of facts about a running application.
A Java client for the memcached protocol with a configurable client-side in-process memory cache supporting replacement/eviction strategies (least-recently-used, least-frequently-used, first-in-first-out) designed to provide extremely low-latency lookup.
Some example exercises about distributed systems in computer science. Some code examples for Java RMI, Java Server Socket and Peer to Peer Systems written in Java. Probably using the Hibernate framework and some other Java Technologies.
Mahatittha enables distributed transaction handling capability within the lightweight container Spring Framework, without necessitating its deployment in a fully-fledged J2EE application server.
JACOB stands for [J]ava [A]gent [C]ontainer [OB]jects. Its purpose is to provide a framerwork for developing Agent Applications (by plugins). Applicability in the domain of distributed computing, decentralized job scheduling and simple P2P frameworks.