Open Source Intelligent Agents - Page 6

Intelligent Software Agents in Resource Management on the Grid.

Aibalone is a free implementation of an Artificial Intelligence for the game Abalone. The project is written in java.

AlizaGameAPI is a robust, open-source Java-based framework designed to streamline and enhance the development of 2D and 3D games. It offers a comprehensive set of tools, utilities, and libraries, empowering developers to create immersive and dynamic gaming experiences with ease. Key Features: Modular Architecture, Rich Graphics and UI Components, Comprehensive Game Logic and Character Management, Environment and World-Building Tools, Statistical and Mathematical Utilities, Enhanced Debugging and Logging, Data Management and Integration, Integrated LLM for NPC Dialog, Cross-Platform Compatibility Dive into the world of game development with AlizaGameAPI. Download the latest version, explore the detailed documentation, and join the community of developers pushing the boundaries of gaming technology.

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.

Amoeba is a Linux command-line learning program that observes and adapts to the Linux command line storing learned strings and their usage data. It enhances command-line proficiency by capturing command outputs, adapting string lengths, and periodically saving knowledge. Sandboxing is essential for security, and optionally a virtual machine would further isolates it from the host system. Contributions and improvements are encouraged via the GitHub repository.

AIS is an Development Platform providing a high-speed JIT compiler for LISP and JavaScript, web server, object repositories, MySQL integration and libraries supporting a wide variety of advanced genetic programming and symbolic regression techniques.

Animants are virtual ants. Their name comes from the combination of "ants" and "animats", an animat being "a sofware approximation of a living creature". Animants aim to simulate the behaviour of living animals.

This program shall implement some rule systems for ants. Special interest is to do researches about the conflict behaviour. The project is written with the mason-library (page: http://cs.gmu.edu/~eclab/projects/mason/ ) and mainly with the scala programming language

Apex is a software architecture and development toolkit for creating intelligent, autonomous agents. Applications for such agents range from control of robots to mission planning, usability analysis, and simulation-based training of human operators.

This code implements a Procedural Reasoning System (PRS) agent for the control of our Arduino powered automated garden.

A Java argumentation tool kit. Calculate the Dung acceptability of an argument given a source of conflicting arguments, with this library.

In this architecture, Javino enables processing the data coming from sensors as perceptions in ARGO's agent reasoning cycle. Then, one can restrict the list of perceptions delivered by Javino based on filters designed by the agent's programmer. The main contribution of ARGO is to enable the use of perception filters for programming robotic agents. Moreover, ARGO allows an agent to decide when to start or to stop perceiving from its sensors, to fix the interval between each perception and to control these filtering behavior in runtime. LATEST VERSION available at: https://github.com/chon-group/argo

Argorha Pathfinding is an algorithm which permit you to find your way into a polygon soup ( 3D world ) efficently by precalculating a system of sectors and portals. AStar included. Demo in Download section, code on SVN.

Attimas-os is an open Source project for artificial inteligence develpment tools This is a component-based toolkit enabling rapid development of FIPA compliant agents.It must supports the majority of the FIPA Experimental specifications

The main aim of this project is to design and develop a mechanism that can find all the “important” files inside a computer.

A software implementation of the famous "robot soccer" projects. This software allows programmers to code robot AIs directly in C++ and see their team compete against others on a simulated field.

One-Click to deploy well-designed AutoGPT-Next-Web web UI on Vercel.

AutoGen is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. AutoGen aims to provide an easy-to-use and flexible framework for accelerating development and research on agentic AI, like PyTorch for Deep Learning. It offers features such as agents that can converse with other agents, LLM and tool use support, autonomous and human-in-the-loop workflows, and multi-agent conversation patterns. AutoGen provides multi-agent conversation framework as a high-level abstraction. With this framework, one can conveniently build LLM workflows. AutoGen offers a collection of working systems spanning a wide range of applications from various domains and complexities. AutoGen supports enhanced LLM inference APIs, which can be used to improve inference performance and reduce cost.

AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency. AutoGroq was born out of the realization that the traditional approach to building AI agents was backwards. Instead of creating agents in anticipation of problems, AutoGroq uses the syntax of the users' needs as the basis for constructing the perfect AI team. It's how we wished Autogen worked from the very beginning. With AutoGroq, a fully configured workflow, team of agents, and skillset are just a few clicks and a couple of minutes away, without any programming necessary. Our rapidly growing user base of nearly 8000 developers is a testament to the power and effectiveness of AutoGroq.

This is a Draft project for implementation of Automate Tools for Mid-Sized Compagny for deployment and prototyping Standards and Regulation @work ! This will also lead to computability and prediction of effort Thru resolution of Human action @Work...

The Automated Life Ecosystem Simulator is a microbe simulation environment developed in Java.

CSE Senior Design Project for an automated Robotic Truck. This will be software and hardware that allows for the autonomous nature of a the RC vehicle.

Build intelligent agents quickly — inspired by the power of "Agentic workflows" and the Stanford DSPy paper. Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with.

BDI4JADE is an agent platform based on the BDI architecture implemented in pure Java. Therefore, Java features can be exploited; and it facilitates the integration of existing technologies, what is essential in the context of enterprise applications.

It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial Neural Network to build the experiment