Search Results for "turn based"

CowAgent, based on the chatgpt-on-wechat project, is an open-source AI agent framework that integrates large language models into the WeChat ecosystem to create intelligent conversational assistants. It enables automated message handling by connecting WeChat accounts with AI models that can generate contextual replies, process voice messages, and produce images directly inside chats.

OpenClaw Control Center is a centralized management interface designed to oversee, configure, and monitor agent-based systems, particularly those built within the OpenClaw ecosystem. It provides a control layer that allows users to interact with agents, track their performance, and adjust operational parameters in real time. The system is likely built with usability in mind, offering dashboards or visualization tools that make complex agent behaviors easier to understand and manage. It may...

TEN (Transformative Extensions Network) is an open source framework designed to empower developers to build real-time multimodal AI agents capable of voice, video, text, image, and data-stream interaction with ultra-low latency. It includes a full ecosystem, TEN Turn Detection, TEN Agent, and TMAN Designer, allowing developers to rapidly assemble human-like, responsive agents that can see, speak, hear, and interact. With support for languages like Python, C++, and Go, it offers flexible deployment on both edge and cloud environments. Using components like graph-based workflow design, drag-and-drop UI (via TMAN Designer), and reusable extensions such as real-time avatars, RAG (Retrieval-Augmented Generation), and image generation, TEN enables highly customizable, scalable agent development with minimal code.

clawchief is an agent orchestration and management layer designed to coordinate and control multiple AI agents within structured workflows, acting as a central authority that assigns tasks, monitors execution, and ensures coherence across complex operations. The system is built around the idea of hierarchical control, where a “chief” agent oversees subordinate agents and directs their activities based on high-level objectives. This approach allows for more predictable and organized...

CUDA Agent is a research-driven agentic reinforcement learning system designed to automatically generate and optimize high-performance CUDA kernels for GPU workloads. The project addresses the long-standing challenge that efficient CUDA programming typically requires deep hardware expertise by training an autonomous coding agent capable of iterative improvement through execution feedback. Its architecture combines large-scale data synthesis, a skill-augmented CUDA development environment,...

Evolver is the core engine behind EvoMap and is positioned as a self-evolution system for AI agents rather than a conventional application framework. Its purpose is to turn isolated prompt adjustments into reusable, auditable evolution assets, giving agent teams a more structured way to improve behavior over time. The project uses a protocol-constrained approach centered on concepts such as genes, capsules, and events, which are stored as structured assets and selected through signal...

This project aims to promote computer science. In the way of 'serious games', it will particularly help students to improve their computer skills. This project provides a framework to create space battles between AI.

Tryx is a simple board game, and is an evolution of the classic Tic-Tac-Toe game. The difference is that each player can have at most 3 symbols on the board: when a player puts its fourth symbol on the board, the oldest symbol disappears.

The central aim of OrkAPI is to be an interface to any kind of Ork-related data within Java. It also features a GUI that can assist in creating a move and inspecting the collected data. There are many points to extend OrkAPI with "Plugin" classes.

Formicidae is the official simulator and visualizer for the Ant-Wars competitive programming site, written in Java and SISC. The site is hosted at www.ant-wars.net.

Anarchonomy is a Java application simulating AI agent based production, consumption, trade and force with a minimum of economic assumptions, letting users create and change their own rule and scenario sets.

OpenArena is an developing enviroment for autonomous software agents and software worlds.

This project aim to provide a crowd movement simulation based on primitive human behaviours and emerging behaviours for research and educational purposes. The application (front-end) is generic and can be reused.

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