A monorepo providing `@pixiv/three-vrm`, a library for loading, controlling, and rendering VRM (Virtual Reality Model) avatars in three.js. It implements VRM 1.0 and partial VRM 0.0 specifications, handling humanoid bone mapping, facial expressions, eye gaze control (lookAt), first-person mesh culling, spring bone physics simulation, node constraints (aim, roll, rotation), and MToon toon material rendering. The library is structured as a collection of GLTFLoader plugins that parse VRM extensions from `.vrm` files. Core modules include `VRMLoaderPlugin` (orchestrating sub-plugins), `VRMCore` (humanoid, expressions, lookAt, firstPerson), `VRMSpringBoneManager` (verlet physics), `VRMNodeConstraintManager` (topological sort for constraints), and `MToonMaterial`/`MToonNodeMaterial` (custom shader/material for toon rendering). Both WebGL and experimental WebGPU renderers are supported. The codebase includes thorough examples, CI/CD, and compatibility shims for multiple three.js revisions (r123 through r180).
Project AIRI is a comprehensive multi-platform AI agent and virtual character platform. It functions as a desktop application (Electron), web interface (Vue.js), and mobile client (Capacitor), centered around an LLM-powered 'brain' that controls 3D avatars (Live2D, VRM, Spine) and interacts with the physical world via computer automation (MCP) and gaming bots (Minecraft). The system integrates speech-to-text, text-to-speech, and vision processing to create a conversational agent capable of real-time interaction. It features a robust backend server (Hono/PostgreSQL) for authentication, billing (Flux currency), and provider routing, alongside a plugin system allowing third-party extensions to inject functionality. Architecturally, it is a large monorepo managed by pnpm and Turbo, separating concerns into apps, packages, services, and plugins. The codebase demonstrates significant engineering effort in managing complex state across Electron IPC, WebSocket communication, and local-first data synchronization. It implements custom concurrency ledgers for billing, GPU resource coordination for model inference, and sandboxed execution environments for AI planning tasks. The system is actively developed with frequent commits and a large plugin ecosystem, though it relies heavily on bleeding-edge dependencies and beta libraries. The platform solves the problem of creating autonomous virtual characters with agency, moving beyond simple chatbots to agents that can control computers, play games, and maintain persistent memory. It exposes a standardized provider registry for AI models and a plugin SDK for extensibility. While the architecture is sophisticated, the reliance on rapidly evolving AI standards (MCP, LLM APIs) and bleeding-edge Node.js versions introduces technical debt and maintenance overhead.