Best AI tools for< Play Against Agents >

LLMChess is a web-based chess game that utilizes large language models (LLMs) to power the gameplay. Players can select the LLM model they wish to play against, and the game will commence once the "Start" button is clicked. The game logs are displayed in a black-bordered pane on the right-hand side of the screen. LLMChess is compatible with the Google Chrome browser. For more information on the game's functionality and participation guidelines, please refer to the provided link.

Betafish.js is a Chess AI application that allows users to play chess against an AI opponent. Users can set the FEN position, make moves, and take back moves. The AI provides different thinking times for users to choose from. The application is created by Gavin and features a user-friendly interface with Staunty chess pieces and markers sprite.

This website offers a game where users can play Wordle against an AI. The goal of the game is to guess a 5-letter word in six tries or less. The AI uses Chat GPT to try to guess the word in as few tries as possible. Users can also view a scoreboard to see how they compare to other players.

Noctie.ai is a personal AI chess coach with a human touch. It offers a variety of features to help users improve their chess game, including custom tactics & exercises, openings & endgames, and live insights. Noctie.ai is suitable for users of all levels, from beginners to grandmasters. It is a great way to practice chess, learn from your mistakes, and improve your overall chess skills.

The website is a platform for Android apps available on Google Play. It features a wide range of games, movies, books, and kids' content. Users can explore and download various apps, make payments, redeem offers, and personalize their experience. The platform also provides updates on popular apps, in-app purchases, and upcoming releases.

Play It, Say It is an AI-powered language learning application designed to help users master pronunciation in various languages. The app combines cutting-edge AI technology with user-friendly design to offer a comprehensive language learning experience. Users can practice pronunciation, listen to native speaker sounds, record and compare their own pronunciation, and continuously improve their language skills with endless learning opportunities. With a focus on real-life sentences and a simplified interface, Play It, Say It aims to make language learning natural, effective, and enjoyable for beginners and polyglots alike.

PlayHT is an advanced AI Voice Generator that offers realistic Text to Speech capabilities and AI Voiceover services. With a wide range of features and advantages, PlayHT provides users with ultra-realistic AI voices that are indistinguishable from humans. The platform allows users to generate conversational, expressive, and emotional voice content for various applications, including videos, podcasts, e-learning, gaming, and more. PlayHT's AI Voice Cloning feature encapsulates every accent and dialect, offering a seamless voice generation experience. The platform also provides Voice Generation API for real-time voice cloning and generation. PlayHT is trusted by individuals and teams of all sizes for creating custom AI voices and enhancing projects with high-quality voice content.

PlayAI is an AI tool designed for businesses and developers to create voice interfaces effortlessly. The platform allows users to generate conversational agents by simply tapping or clicking, enabling them to shuffle, share, and clone voices. PlayAI offers a user-friendly interface for building agents, making it easy to customize and deploy voice interactions. With a focus on simplicity and efficiency, PlayAI aims to revolutionize the way businesses and developers engage with their audience through voice technology.

Rosebud is an AI-powered game development platform that allows users to play and create games with ease. The platform leverages artificial intelligence to provide innovative tools and features for game development enthusiasts. With Rosebud, users can bring their game ideas to life, explore creative possibilities, and engage in a vibrant gaming community. Whether you are a beginner or an experienced developer, Rosebud offers a user-friendly interface and advanced functionalities to support your game creation journey.

AI Dungeon is an AI-powered text adventure game that uses deep learning to generate interactive stories. Players can enter any action or choice, and the AI responds dynamically, creating a unique narrative experience. The game offers endless possibilities for storytelling and exploration, making it a captivating and immersive experience for users.

Moises App is a music application powered by AI that provides musicians with a range of tools to enhance their practice and performance. With Moises App, users can separate vocals and instruments in any song, adjust the speed and pitch, and detect chords in real time. The app also includes a smart metronome and audio speed changer, making it an ideal tool for musicians of all levels. Moises App is available as a desktop application, iOS app, and web app, making it accessible to musicians on any device.

WORTAL is an AI-powered platform designed to simplify global game distribution for game studios and distribution partners. It offers a one SDK solution to launch games across multiple platforms effortlessly. With AI optimization, WORTAL helps maximize game performance and revenue through in-game ads and monetization tools. The platform provides access to a global audience, including hard-to-reach markets like Japan, and offers fair revenue sharing. WORTAL aims to streamline the game distribution process and help developers reach a wider player base.

Chesswith.ai is an AI-powered platform that offers a unique chess playing experience by integrating AI-generated chats. Players can engage in witty conversations with AI-powered characters while strategizing their moves to achieve victory. The platform aims to provide a fun and interactive environment for chess enthusiasts to enjoy the game in a new and engaging way.

ROMO88 is a popular online slot deposit website in Indonesia, offering a wide range of slot games with affordable deposit options. Players can easily access and enjoy various slot games starting from a minimum bet of 200 perak. The website also provides customer support, international product shipping, and a user-friendly interface for a seamless gaming experience.

SLOT88 is an online gambling platform claiming to be the 'site of today's gacor slots' with a variety of online slot games. The site is often promoted as an easy-to-win slot playing place (definitely win 2025) and provides access links to Slot88 games. However, it is important to understand that such claims need to be critically analyzed, especially because the results of online gambling depend on luck and RNG algorithms, not absolute winning promises.

AI Art Master is a thrilling game tailor-made for AI Art enthusiasts who crave excitement and competition. Engage in heart-pounding AI Art Contests and showcase your incredible AI-generated art in a vast array of virtual exhibition spaces to climb the ranks and become the next AI Art Master. Unleash your inner artist today!

Catizen is an AI-powered application that combines gaming, blockchain technology, and artificial intelligence to create a unique virtual world for users and their digital companions, AI kitties. With features like mini-games, user acquisition tasks, and blockchain-powered gaming, Catizen offers a fun and interactive experience for players. The application is designed to provide entertainment, user engagement, and rewards through a seamless integration of AI technology and gaming elements.

StoryChan is an AI application that offers interactive role-play scenarios with AI characters in various genres like romance, adventure, fantasy, sci-fi, and horror. Users can engage in chat conversations with virtual characters, exploring complex relationships and storylines. The platform provides a unique and immersive experience for users to interact with AI-generated personalities and navigate through intriguing narratives.

Interactive Mathematics is an online platform that provides math problem-solving help, tutoring, and lessons. It offers an AI-powered math problem solver that provides step-by-step answers to math homework problems. The platform also offers on-demand math tutoring, where students can send their math problems to tutors and receive immediate help. Interactive Mathematics also provides a variety of math lessons, covering topics from basic algebra to calculus. The platform is designed to help students improve their math grades and understanding.

BatteryIncluded is an AI-powered data discovery framework that helps businesses create highly relevant product lists for their online stores. It uses real-time raw data aggregation, advanced AI algorithms, and natural language processing to deliver personalized shopping experiences for users. BatteryIncluded's modular architecture and flexible API allow for easy integration with existing systems and headless frontends, providing businesses with full control and flexibility.

A handy package for kickstarting AI contests. This Python framework simplifies the creation of an environment for adversarial agents, offering various functionalities for game setup, playing against remote agents, data generation, and contest organization. The package is user-friendly and provides easy-to-use features out of the box. Developed by an enthusiastic team of M.Sc candidates at Polytechnique Montréal, 'seahorse' is distributed under the 3-Clause BSD License.

YGO Agent is a project focused on using deep learning to master the Yu-Gi-Oh! trading card game. It utilizes reinforcement learning and large language models to develop advanced AI agents that aim to surpass human expert play. The project provides a platform for researchers and players to explore AI in complex, strategic game environments.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

Avalon-LLM is a repository containing the official code for AvalonBench and the Avalon agent Strategist. AvalonBench evaluates Large Language Models (LLMs) playing The Resistance: Avalon, a board game requiring deductive reasoning, coordination, collaboration, and deception skills. Strategist utilizes LLMs to learn strategic skills through self-improvement, including high-level strategic evaluation and low-level execution guidance. The repository provides instructions for running AvalonBench, setting up Strategist, and conducting experiments with different agents in the game environment.

Large Language Models Play StarCraft II is a project that explores the capabilities of large language models (LLMs) in playing the game StarCraft II. The project introduces TextStarCraft II, a textual environment for the game, and a Chain of Summarization method for analyzing game information and making strategic decisions. Through experiments, the project demonstrates that LLM agents can defeat the built-in AI at a challenging difficulty level. The project provides benchmarks and a summarization approach to enhance strategic planning and interpretability in StarCraft II gameplay.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

A Python interface for creating battling Pokemon agents, 'poke-env' allows users to develop rule-based or Reinforcement Learning bots to battle on Pokemon Showdown. The tool provides an easy-to-use interface for agent creation and offers documentation, examples, and starting code for beginners. Users can install 'poke-env' via pip and set up a development server for testing. The project is inspired by an artificial intelligence class project and relies on data from Smogon forums' RMT section. It is licensed under MIT and can be cited using a provided BibTeX entry.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

SalesGPT is an open-source AI agent designed for sales, utilizing context-awareness and LLMs to work across various communication channels like voice, email, and texting. It aims to enhance sales conversations by understanding the stage of the conversation and providing tools like product knowledge base to reduce errors. The agent can autonomously generate payment links, handle objections, and close sales. It also offers features like automated email communication, meeting scheduling, and integration with various LLMs for customization. SalesGPT is optimized for low latency in voice channels and ensures human supervision where necessary. The tool provides enterprise-grade security and supports LangSmith tracing for monitoring and evaluation of intelligent agents built on LLM frameworks.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

Vivaria is a web application tool designed for running evaluations and conducting agent elicitation research. Users can interact with Vivaria using a web UI and a command-line interface. It allows users to start task environments based on METR Task Standard definitions, run AI agents, perform agent elicitation research, view API requests and responses, add tags and comments to runs, store results in a PostgreSQL database, sync data to Airtable, test prompts against LLMs, and authenticate using Auth0.

This repository provides a comprehensive survey of research papers on large language model (LLM)-based game agents. LLMs are powerful AI models that can understand and generate human language, and they have shown great promise for developing intelligent game agents. This survey covers a wide range of topics, including adventure games, crafting and exploration games, simulation games, competition games, cooperation games, communication games, and action games. For each topic, the survey provides an overview of the state-of-the-art research, as well as a discussion of the challenges and opportunities for future work.

Parlant is a structured approach to building and guiding customer-facing AI agents. It allows developers to create and manage robust AI agents, providing specific feedback on agent behavior and helping understand user intentions better. With features like guidelines, glossary, coherence checks, dynamic context, and guided tool use, Parlant offers control over agent responses and behavior. Developer-friendly aspects include instant changes, Git integration, clean architecture, and type safety. It enables confident deployment with scalability, effective debugging, and validation before deployment. Parlant works with major LLM providers and offers client SDKs for Python and TypeScript. The tool facilitates natural customer interactions through asynchronous communication and provides a chat UI for testing new behaviors before deployment.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

The Awesome-LLM-Post-training repository is a curated collection of influential papers, code implementations, benchmarks, and resources related to Large Language Models (LLMs) Post-Training Methodologies. It covers various aspects of LLMs, including reasoning, decision-making, reinforcement learning, reward learning, policy optimization, explainability, multimodal agents, benchmarks, tutorials, libraries, and implementations. The repository aims to provide a comprehensive overview and resources for researchers and practitioners interested in advancing LLM technologies.

Let's try to win versus GPT AI or learn from him !

Chess player GPT that plays with users using standard notation.

Play Connect-4 against GPT with new twists and turns on the game!

Your Minecraft companion for game tips, advice, and creative ideas.

Let's get weird with a two-person improv scene

Your ultimate party game guide.

Simulates a geo-political grand strategy game.

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Provides live football (soccer) betting suggestions based on game stats and history. 75% success.

Generates conversation examples and chunks for specified situations. Improve your instantaneous conversational skills through repetitive practice!

Mandarin language teacher for conversational practice with role-play scenarios.

Play Pokemon TCG GPT

Play improv games

Play a visual guessing game about popular movies.

Play Dungeons and Dragons (DnD). Role Play. Have Fun.

Play as a detective to investigate the case and find out the truth.

I play the game 'Guess who I am!' with you. I adopt the identity of random famous person. Show me you are a true Guess Guru, which can discover my new identity based on only yes/no questions.

Play your own game of CBS's Survivor with strategic decisions and challenges.

Play with me! Text me «Hi»

Play heads-up poker in real-time