Stable Horde is a community-driven platform that leverages a crowdsourced distributed cluster to facilitate AI-based image and text generation. It enables users to create diverse content efficiently by tapping into a shared pool of computational resources. The platform supports multiple AI models and provides a user-friendly interface, making it accessible to both technical and non-technical users. With additional features like QR code generation and plugin integration, Stable Horde stands out as a versatile tool for various creative and technical applications.

Wool Ball offers a wide range of open-source AI models for various tasks including text generation, image classification, speech-to-text, and more. By leveraging a distributed network of browsers, Wool Ball efficiently processes AI tasks at significantly lower costs. The platform also enables users to earn rewards by sharing their browser's idle resources, ensuring secure and efficient use through WebAssembly technology.

GPUX is a distributed supercomputer that lets users earn from their idle GPU resources. The platform supports running anything Dockerized, from machine learning jobs to rendering. It automates scaling and optimizes costs by distributing workloads across multiple GPUs. Users can run inference, train models, and even handle video transcoding seamlessly. Join GPUX to leverage your GPU capacity for maximum utility.

Cloudflare Agents is an AI agent platform built on top of Cloudflare Workers, offering a developer-friendly environment to design autonomous agents at the network edge. It integrates with leading language models (e.g., OpenAI, Anthropic), providing configurable prompts, routing logic, memory storage, and data connectors like Workers KV, R2, and D1. Agents perform tasks such as data enrichment, content moderation, conversational interfaces, and workflow automation, executing pipelines across distributed edge locations. With built-in version control, logging, and performance metrics, Cloudflare Agents deliver reliable, low-latency responses with secure data handling and seamless scaling.

LiberalAI stands as a revolutionary decentralized AI platform designed to offer users a censorship-resistant environment for computing AI models. Leveraging robust blockchain technology, the platform ensures that all AI resources are accessible without interference. The elastic computing power of LiberalAI allows for efficient scaling depending on the demands of various applications. By focusing on transparency and privacy, LiberalAI enables developers and users to create and implement AI services boldly and securely.

OpenSpiel is a research framework that provides a wide range of environments (from simple matrix games to complex board games such as Chess, Go, and Poker) and implements various reinforcement learning and search algorithms (e.g., value iteration, policy gradient methods, MCTS). Its modular C++ core and Python bindings allow users to plug in custom algorithms, define new games, and compare performance across standard benchmarks. Designed for extensibility, it supports single and multi-agent settings, enabling study of cooperative and competitive scenarios. Researchers leverage OpenSpiel to prototype algorithms quickly, run large-scale experiments, and share reproducible code.