AI tools for minecraft build planner
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Altera
Altera is a multi-agent research company focused on building digital humans with fundamental human qualities. They have developed Playlabs, an autonomous agent capable of playing Minecraft. Led by Dr. Robert Yang, the team consists of computational neuroscientists, CS and physics experts from prestigious institutions. Their mission is to create digital human beings that enhance human-to-human interactions by providing empathy, fun, friendship, and productivity.
SkinGenerator.io
SkinGenerator.io is an AI-powered Minecraft Skin Generator that allows users to create custom skins for the popular video game Minecraft. The tool uses generative art models to transform text prompts into unique in-game skins, providing a quick and easy way for players to personalize their characters. Users can choose from different subscription plans to access additional skin generations and new models. SkinGenerator.io is not affiliated with Microsoft or Mojang, but offers a user-friendly interface for skin creation.
Voyager
Voyager is an open-ended embodied agent powered by large language models, designed for lifelong learning in Minecraft. It continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. The agent consists of three key components: an automatic curriculum for exploration, a skill library for storing complex behaviors, and an iterative prompting mechanism for program improvement.
VoteMinecraftServers
VoteMinecraftServers is a modern Minecraft voting website that provides real-time live analytics to help users stay ahead in the game. It utilizes advanced AI and ML technologies to deliver accurate and up-to-date information. The website is free to use and offers a range of features, including premium commands for enhanced functionality. VoteMinecraftServers is committed to data security and user privacy, ensuring a safe and reliable experience.
Google Play
The website is a platform for Android apps available on Google Play. Users can explore and download various games, movies, books, and kids' content. It features a wide range of apps, including popular titles like Roblox, Minecraft, and Super Mario Run. Users can also access special offers, in-app purchases, and updates for different apps. The site provides a convenient way for users to discover and enjoy entertainment content on their Android devices.
CraftGPT
Your expert Minecraft server Java plugin assistant. Whether you're learning the ropes or are an experienced developer, I'm here to help you with Java concepts, coding examples, and any queries you have about Minecraft plugin development.
Minecrafft-Me!
I can transform you into a Minecraftian, and generate your very own player skin. Just upload your photo...
AITreasureBox
AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.
LLMAgentPapers
LLM Agents Papers is a repository containing must-read papers on Large Language Model Agents. It covers a wide range of topics related to language model agents, including interactive natural language processing, large language model-based autonomous agents, personality traits in large language models, memory enhancements, planning capabilities, tool use, multi-agent communication, and more. The repository also provides resources such as benchmarks, types of tools, and a tool list for building and evaluating language model agents. Contributors are encouraged to add important works to the repository.
llms-tools
The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.
Awesome-Embodied-Agent-with-LLMs
This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.
Awesome-LLM-Robotics
This repository contains a curated list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from awesome-Implicit-NeRF-Robotics Please feel free to send me pull requests or email to add papers! If you find this repository useful, please consider citing and STARing this list. Feel free to share this list with others! ## Overview * Surveys * Reasoning * Planning * Manipulation * Instructions and Navigation * Simulation Frameworks * Citation
MinePal
MinePal is a Minecraft companion app with a React frontend, a local backend, and an AI agent. The frontend is built with React and Vite, the local backend APIs are in server.js, and the Minecraft agent logic is in src/agent/. Users can set up the frontend by installing dependencies and building it, refer to the backend repository for backend setup, and navigate to src/agent/ to access actions that the bot can take.
MobChip
MobChip is an all-in-one Entity AI and Bosses Library for Minecraft 1.13 and above. It simplifies the implementation of Minecraft's native entity AI into plugins, offering documentation, API usage, and utilities for ease of use. The library is flexible, using Reflection and Abstraction for modern functionality on older versions, and ensuring compatibility across multiple Minecraft versions. MobChip is open source, providing features like Bosses Library, Pathfinder Goals, Behaviors, Villager Gossip, Ender Dragon Phases, and more.
MineStudio
MineStudio is a simple and efficient Minecraft development kit for AI research. It contains tools and APIs for developing Minecraft AI agents, including a customizable simulator, trajectory data structure, policy models, offline and online training pipelines, inference framework, and benchmarking automation. The repository is under development and welcomes contributions and suggestions.
ollama4j
Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It facilitates communication with the Ollama server and provides models for deployment. The tool requires Java 11 or higher and can be installed locally or via Docker. Users can integrate Ollama4j into Maven projects by adding the specified dependency. The tool offers API specifications and supports various development tasks such as building, running unit tests, and integration tests. Releases are automated through GitHub Actions CI workflow. Areas of improvement include adhering to Java naming conventions, updating deprecated code, implementing logging, using lombok, and enhancing request body creation. Contributions to the project are encouraged, whether reporting bugs, suggesting enhancements, or contributing code.
Awesome-Papers-Autonomous-Agent
Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.
craftium
Craftium is an open-source platform based on the Minetest voxel game engine and the Gymnasium and PettingZoo APIs, designed for creating fast, rich, and diverse single and multi-agent environments. It allows for connecting to Craftium's Python process, executing actions as keyboard and mouse controls, extending the Lua API for creating RL environments and tasks, and supporting client/server synchronization for slow agents. Craftium is fully extensible, extensively documented, modern RL API compatible, fully open source, and eliminates the need for Java. It offers a variety of environments for research and development in reinforcement learning.
ollama4j
Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It allows users to communicate with the Ollama server and manage models for various deployment scenarios. The library provides APIs for interacting with Ollama, generating fake data, testing UI interactions, translating messages, and building web UIs. Users can easily integrate Ollama4j into their Java projects to leverage the functionalities offered by the Ollama server.
CVPR2024-Papers-with-Code-Demo
This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.