multiagent_envs delivers a modular set of Python-based environments tailored for multi-agent reinforcement learning research and development. It includes scenarios like cooperative navigation, predator-prey, social dilemmas, and competitive arenas. Each environment lets you define the number of agents, observation features, reward functions, and collision dynamics. The framework integrates seamlessly with popular RL libraries such as Stable Baselines and RLlib, allowing vectorized training loops, parallel execution, and easy logging. Users can extend existing scenarios or create new ones by following a simple API, accelerating experimentation with algorithms like MADDPG, QMIX, and PPO in a consistent, reproducible setup.

Ant_racer is a virtual multi-agent pursuit-evasion platform that provides a game environment for studying multi-agent reinforcement learning. Built on OpenAI Gym and Mujoco, it allows users to simulate interactions between multiple autonomous agents in pursuit and evasion tasks. The platform supports implementation and testing of reinforcement learning algorithms such as DDPG in a physically realistic environment. It is useful for researchers and developers interested in AI multi-agent behaviors in dynamic scenarios.

MARO (Multi-Agent Resource Optimization) is a Python-based framework designed to support the development and evaluation of multi-agent reinforcement learning agents in supply chain, logistics, and resource management scenarios. It includes environment templates for inventory management, truck scheduling, cross-docking, container rental, and more. MARO offers a unified agent API, built-in trackers for experiment logging, parallel simulation capabilities for large-scale training, and visualization tools for performance analysis. The platform is modular, extensible and integrates with popular RL libraries, enabling reproducible research and rapid prototyping of AI-driven optimization solutions.

Reinforcement Learning Agents for PettingZoo Games is a Python-based code library delivering off-the-shelf DQN, PPO, and A2C algorithms for multi-agent reinforcement learning on PettingZoo environments. It features standardized training and evaluation scripts, configurable hyperparameters, integrated TensorBoard logging, and support for both competitive and cooperative games. Researchers and developers can clone the repo, adjust environment and algorithm parameters, run training sessions, and visualize metrics to benchmark and iterate quickly on their multi-agent RL experiments.

gym-multigrid provides a suite of customizable gridworld environments designed for multi-room navigation and exploration tasks in reinforcement learning. Each environment consists of interconnected rooms populated with objects, keys, doors, and obstacles. Users can adjust grid size, room configurations, and object placements programmatically. The library supports both full and partial observation modes, offering RGB or matrix state representations. Actions include movement, object interaction, and door manipulation. By integrating it as a Gym environment, researchers can leverage any Gym-compatible agent, seamlessly training and evaluating algorithms on tasks like key-door puzzles, object retrieval, and hierarchical planning. gym-multigrid’s modular design and minimal dependencies make it ideal for benchmarking new AI strategies.

autogen_multiagent provides a structured way to instantiate, configure, and coordinate multiple AI agents in Python. It offers dynamic agent creation, inter-agent messaging channels, task planning, execution loops, and monitoring utilities. By integrating seamlessly with the OpenAI API, it allows you to assign specialized roles—such as planner, executor, summarizer—to each agent and orchestrate their interactions. This framework is ideal for scenarios requiring modular, scalable AI workflows, such as automated document analysis, customer support orchestration, and multi-step code generation.

Multi-Agent is a developer toolkit that helps you build and orchestrate multiple AI agents running in parallel. Each agent maintains its own memory store, prompt configuration, and message queue. You can define custom behaviors, set up inter-agent communication channels, and delegate tasks automatically based on agent roles. It leverages OpenAI's Chat API for language understanding and generation, while providing modular components for workflow orchestration, logging, and error handling. This enables creation of specialized agents—such as research assistants, data processors, or customer support bots—that work together on multifaceted tasks.

multi_agent_celar is designed as a modular AI platform enabling emergent-language communication among multiple intelligent agents in simulated environments. Users can define agent behaviors via policy files, configure environment parameters, and launch coordinated training sessions where agents evolve their own communication protocols to solve cooperative tasks. The framework includes evaluation scripts, visualization tools, and support for scalable experiments, making it ideal for research on multi-agent collaboration, emergent language, and decision-making processes.

FMAS (Flexible Multi-Agent System) is an open-source Python library for building, running, and visualizing multi-agent simulations. You can define agents with custom decision logic, configure an environment model, set up messaging channels for communication, and execute scalable simulation runs. FMAS provides hooks for monitoring agent state, debugging interactions, and exporting results. Its modular architecture supports plugins for visualization, metrics collection, and integration with external data sources, making it ideal for research, education, and real-world prototypes of autonomous systems.

万合AI is your all-in-one AI assistant focused on increasing your work efficiency by integrating multiple practical features. From AI chat that interacts with you in real-time and provides accurate responses, to writing assistance that helps you draft emails, documents, and reports in various tones and styles. It supports instant translation of web content or text paragraphs, offers intelligent summaries of web pages, and provides smart code suggestions and snippets to assist in programming. 万合AI simplifies your work process and helps you tackle everyday challenges with ease.

智能勘误插件 is an intelligent error correction tool designed for multilingual use. It provides functionalities such as searching for articles in the People's Daily newspaper through a right-click menu, as well as automatically marking keywords based on user configurations. This plugin aims to assist users in efficiently identifying and correcting errors in real-time as they browse various web pages, making it an essential tool for writers, researchers, and everyday users who demand precision in their digital communication.

千里聆·招才易 is designed to enhance talent acquisition through intelligent automation. It allows users to publish job positions, scrape resumes, and engage potential candidates seamlessly across various recruitment platforms like BOSS Zhipin. With its advanced robotic process automation capabilities, this tool significantly improves efficiency in managing recruitment tasks, making it a vital resource for HR departments and recruiters aiming to optimize their hiring workflows.

猎必得 is an innovative Chrome extension that simplifies the recruitment process by allowing users to quickly save resumes from various recruitment websites. It addresses common challenges faced by HR professionals and recruiters, offering features like resume storage, updating, and easy accessibility. This tool is essential for anyone involved in hiring, making their workflow more efficient and organized. With a focus on enhancing productivity, 猎必得 helps users maintain a comprehensive database of candidate information effortlessly.

MultipleChat is a sophisticated chat platform that allows users to interact with multiple advanced AI models simultaneously. With capabilities spanning across various applications, it enables users to leverage the power of AI for decision-making, creative insights, and efficient customer support. The platform is designed for ease of use, offering a seamless interface where one can switch between different AI models based on their needs, leading to cost-effective and smarter communication. Whether for personal use or business applications, MultipleChat provides a unique solution to harness AI technology effectively.

索迈特AI is a comprehensive AI solution that combines multiple functionalities, allowing users to interact with an intuitive interface. Whether you need assistance in answering questions, generating artwork, composing text, or translating languages, this tool is designed to boost efficiency and spark creativity. Ideal for individuals and professionals alike, it offers a user-friendly experience that ensures quick and effective results across different tasks.

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Multi AI Sidebar is an innovative Chrome extension that consolidates access to a range of AI tools such as OpenAI ChatGPT, Microsoft Copilot, Bing AI, and Google Gemini into one easy-to-navigate sidebar. Perfect for users who frequently utilize different AI services, it enhances productivity by allowing seamless transitions between various applications. With its user-friendly interface and powerful capabilities, users can leverage the strengths of each AI tool efficiently while minimizing distractions and streamlining their tasks.

山鲸AI图片一键分割 is an intelligent image segmentation tool available as a Chrome extension. It allows users to upload any image and automatically divides it into four equal parts with just one click. Ideal for creating collages, enhancing graphics, or simply organizing visuals, this tool leverages AI to ensure that the segmentation process is smooth and quick. Perfect for both casual and professional use, this extension simplifies the way users handle image editing tasks without needing complex software.

ChatGPT 萬能工具箱 is a Chrome extension designed to enhance the user experience on the ChatGPT platform. It features auto-fill capabilities that capture prompts from URLs, and it introduces quick action buttons for common responses. Users can easily edit prompts and access additional functionalities that simplify user interactions with ChatGPT. The toolkit is ideal for frequent users looking to optimize their workflow and interaction efficiency.

海鲸数聚 provides comprehensive capabilities for cross-border e-commerce sellers, enabling them to gather and analyze critical market data. It specializes in keyword research, product analysis, and competitor tracking, allowing users to optimize their product listings and improve store performance. By leveraging advanced analytics, sellers can make informed decisions based on real-time data, increasing their chances of success in international markets.