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.
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Desktop and Mobile Device Management Software
It's a modern take on desktop management that can be scaled as per organizational needs.
Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
Geared toward Artificial Intelligence development for chess. JFChess is written in Java, and is designed to easily integrate new AI's. It is also can play over LAN, Direct Connect, and IRC for competitive play!
This is a toolkit for medical natural language processing (NLP). The core engine is general enough to be used in a variety of text processing domains, though the toolkit includes specific support for medical reports and patient de-identification.
CAMA (Context-Aware Mobile Agents) is a middleware for supporting mobile agents coordination. It is based on Linda-style coordination and provides numerous extentions for interoperability and fault-tolerance. It supports portable platforms such as PDAs.
An AI simulation patterned on the design suggested in the book, 'Growing Artificial Societies' by J M Epstein & R Axtell I hope to use this s/w for some intermediate/advanced experiments into economic, social & political studies of mass psychology.
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.
AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
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.
KAON is an ontology management infrastructure targeted for business applications. It includes a comprehensive tool suite allowing easy ontology creation and management. Persistence mechanisms of KAON are based on relational databases.
AINet is a general purpose Artificial Intelligence software application and network. It learns from experience and user training to solve problems and interact with the environment. It runs in workstation and robotic applications.
This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
An ANN design/implementation focused to work with optimally with NEAT (http://www.cs.utexas.edu/users/kstanley/neat.html). Semiann uses a sparse matrix to fill out the nodes, connections, weights, biases and activation functions for an ANN.
brCluster is a class library, written in java, that implements generic clustering algorithms carefully designed to allow its aplication in any kind of data. The algorithms implemented are K-means and Hierarchical Clustering (Simple and Complete Link).
CLearJ is a clean Java-implementation of Common Lisp. The big goals are ANSI standard compliance, interoperability with Java and integration with scripting environments. This project is meant to be a sibling to CLearSharp, with sharing of implementation.
A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
Knowledge Management System of China ,
Support Healthcare,Oil development, electric power etc. Knowledge Drived Industry.
Modeling driven,
Event driven ;
OpenSource, Internationalization,
Great Malls of Fire is a crowd simulation in a shopping center-like environment. Build your mall, look at your customers shopping... Then set it on fire and then watch them run away in fear!