This repository provides a complete suite of multi-agent reinforcement learning algorithms—including MADDPG, DDPG, PPO, and more—integrated with standard benchmarks like the Multi-Agent Particle Environment and OpenAI Gym. It features customizable environment wrappers, configurable training scripts, real-time logging, and performance evaluation metrics. Users can easily extend algorithms, adapt to custom tasks, and compare policies across cooperative and adversarial settings with minimal setup.

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.

crewAI Playground is a developer toolkit and sandbox for building and experimenting with AI-driven agents. You define agents via configuration files or code, specifying prompts, tools, and memory modules. The playground runs multiple agents concurrently, handles message routing, and logs conversation history. It supports plugin integrations for external data sources, customizable memory backends (in-memory or persistent), and a web interface for testing. Use it to prototype chatbots, virtual assistants, and automated workflows before production deployment.

Multi-Agent Reinforcement Learning by alaamoheb is a comprehensive open-source library designed to facilitate the development, training, and evaluation of multiple agents acting in shared environments. It includes modular implementations of value-based and policy-based algorithms such as DQN, PPO, MADDPG, and more. The repository supports integration with OpenAI Gym, Unity ML-Agents, and the StarCraft Multi-Agent Challenge, allowing users to experiment in both research and real-world inspired scenarios. With configurable YAML-based experiment setups, logging utilities, and visualization tools, practitioners can monitor learning curves, tune hyperparameters, and compare different algorithms. This framework accelerates experimentation in cooperative, competitive, and mixed multi-agent tasks, streamlining reproducible research and benchmarking.

MultiAgentPuzzleSolver provides a modular environment where independent AI agents work together to solve puzzles such as sliding tiles, Rubik’s Cube, and logic grids. Agents share state information, negotiate subtask assignments, and apply diverse heuristics to explore the solution space more effectively than single-agent approaches. Developers can plug in new agent behaviors, customize communication protocols, and add novel puzzle definitions. The framework includes tools for real-time visualization of agent interactions, performance metrics collection, and experiment scripting. It supports Python 3.8+, standard libraries, and popular ML toolkits for seamless integration into research projects.

The Multi-LLM Dynamic Agent Router is an open-architecture framework for building AI agent collaborations. It features a dynamic router that directs sub-requests to the optimal language model, and a GraphQL interface to define composite prompts, query results, and merge responses. This enables developers to break complex tasks into micro-prompts, route them to specialized LLMs, and recombine outputs programmatically, yielding higher relevance, efficiency, and maintainability.

The ChatGPT Mega-Prompt Bundle offers over 2,000 meticulously crafted prompts designed to automate numerous tasks in marketing, business, writing, productivity, SEO, sales, and more. Each prompt is engineered to deliver high-quality outputs, ensuring you save time and streamline your workflow. The bundle includes how-to guides and lifetime updates, making it a comprehensive solution for anyone looking to leverage AI to its fullest potential.

ChatGPT Prompt Automation Queue is a Chrome extension designed to automate your ChatGPT workflows. It allows you to save and reuse sequences of prompts to ChatGPT, sending them one by one automatically. This extension supports multiple GPT versions and works on all operating systems through Chrome. Perfect for bloggers, researchers, content creators, and developers, it helps in automating common tasks, making your work more efficient and time-saving.

The ChatGPT Batch Tasks Chrome extension enables users to run an unlimited number of ChatGPT tasks simultaneously. Unlike traditional methods, where each task requires individual execution and potential Token fees, this extension allows batch processing of tasks efficiently and without additional costs. Ideal for those who frequently rely on ChatGPT for content creation, answers, or automating repetitive tasks, it improves productivity by handling multiple requests at once and streamlining workflows.

AI-MultiPrompt is a web extension designed for those who frequently interact with different AI chat models such as ChatGPT, Bard, and others. By allowing users to submit a single prompt to multiple AI chats simultaneously, it streamlines the interaction process. This tool is perfect for researchers, developers, and anyone seeking diverse responses from various AI platforms. With AI-MultiPrompt, you can enhance your experience and explore multiple perspectives on a single topic with ease.

Qquest is a Chrome extension that simplifies data querying through advanced generative AI technology. By converting intricate and complex queries into easy, conversational exchanges, it allows users to retrieve and manage their data in a much more intuitive manner. Ideal for business professionals and data enthusiasts, Qquest empowers users to enhance their data interactions without the need for extensive technical knowledge.

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.

Questflow is a decentralized AI agentic workflow network designed to simplify the process of automation. It helps teams build, manage, and automate tasks by orchestrating multiple AI agents to take action autonomously. The platform allows users to create, customize, and publish their own AI agents, thus significantly improving productivity and collaboration. Questflow supports human-AI collaboration, offering a seamless blend of automation tools and real-world incentives for users.

GPT Guesser is a multiplayer game designed to challenge players to guess the original prompts that were used to generate AI-generated texts. Players compete against each other in real-time, making their best guesses based on the AI outputs shown. They race against the clock to accurately identify the prompts, combining knowledge, intuition, and quick thinking in an entertaining and engaging way. The game aims to provide fun interactions while also showcasing the capabilities of AI technology.

Questgen.ai is a sophisticated AI-driven platform that generates quizzes from any text swiftly and effortlessly. Tailored for educators and trainers, it supports various question types including Multiple Choice Questions (MCQs), True/False, Fill-in-the-blanks, and Higher-Order questions. Utilizing advanced NLP algorithms, Questgen ensures high-quality, contextually relevant questions, boosting learner engagement and assessment accuracy.

ChatGPT 保持连接 is a browser extension created to mitigate the frequent disconnection issues experienced while using ChatGPT. By automatically transmitting keep-alive signals to the server, it significantly diminishes the likelihood of losing connection, offering an uninterrupted user experience. This tool is essential for anyone who relies on ChatGPT for extensive conversations, ensuring your session remains active without manual refreshes.

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Quest AI is a powerful tool that converts your Adobe XD and Figma designs directly into responsive, pixel-perfect web pages. With built-in support for Material UI, Quest AI ensures that your design vision is accurately translated into clean, extendable React code. By automating the tedious aspects of frontend development, Quest AI empowers both designers and developers to focus on creating engaging user experiences without being bogged down by repetitive tasks.

Quest AI is a no-code platform designed to simplify the creation of React applications. By converting Figma designs into clean, extendable React code, it automates tedious tasks like styling and backend connections. Built with support for design systems such as MUI and Chakra UI, Quest AI provides a seamless integration to enhance productivity and reduce time-to-market. This makes it an invaluable tool for developers looking to streamline their workflow and focus more on creative aspects of application development.

Questflow Labs is a decentralized AI agentic workflow network designed to automatically manage and execute various tasks using autonomous AI agents. The platform allows users to connect different AI agents, models, and applications, like ChatGPT, to optimize workflows and increase productivity. This orchestration of multi-agents makes it possible to automate routine tasks, enabling users to focus on more strategic activities. By leveraging a decentralized network, Questflow ensures high reliability and scalability, making it an ideal solution for modern teams aiming to maximize efficiency through automation.