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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).
Jade4script is a framework which enables integration of JADE agents with various set of scripting languages. On the top of the framework was build centralized web application - AMT, which enables agent management on scripting platform.
Agent inter-platform mobility service for the well-known JADE agent platform. This service allows software agents to move from one execution platform to the next, carrying their own data and state, and resuming their execution upon arrival.
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MongoDB 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.
Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
A Java library as a tool to interact with a Robocup Soccer Server. It enables to play soccer with an Artificial Intelligence multi-agent team based on intelligence and decision algorithms coded in JESS language.
Cognitive agent based social simulation toolkit (RBOT+MRS) / production system based on ACT-R (http://act-r.psy.cmu.edu) allows for modelling single actor cognitive experiments (RBOT) and multiple actors in a simulated (semiotic) world (RBOT + MRS).
Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.
AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
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Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.
WHEREAMI is an intelligent and self-learning network detection and configuration utility. With this capability, a user can just walk to a network range and WHEREAMI will self determine and connect to that network with relevant policies.
This project provides a simple kernel for building distributed agent-based applications. It is based on the idea that the principles underlying dataflow programming are well-suited to design a coordination language for multi-agent environments.
Sakura is a Knowledge Navigator and User Interface for UNIX, which implements HyperMedia and its own windowing and packing system, both in the main program and in an extensive API for Tcl and other languages.
Multi Agent based distributed application. The code can be processed over multiple common machines with fault-tolerance. It is designed to distributively run any Python's script, which can be applied to a given input data set.
DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.
Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
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
MAF (Mobile Agent Framework) is a research prototype which aims to facilitate the development and evaluation of mobile agent by providing a set of handy primitatives and simulation tools.
This project is started with a mission to develop a virtually-assisted system featured with Artificial Intelligence in it.
This system will be able to turn an ordinary operating system into an Intelligent Operating System with the help of Knowledge Database, which will store the knowledge obtained by processing the various informations given as an input to the system and take intelligent decisions.
Do you want to be the part of this challenging project and set a mark in the field of...