A vLLM-style inference server for Apple Silicon with a native MLX backend, exposing both OpenAI and Anthropic compatible APIs in a single process, featuring multimodal unified serving, continuous batching, paged KV cache, and SSD-tiered caching.
An open-source Python framework for real-time voice and multimodal conversational AI agents, enabling end-to-end streaming voice interaction via composable Pipeline architecture.
A local AI inference engine for Apple Silicon with OpenAI-compatible API, supporting multi-modal, tool calling, and smart cloud routing.
A fully disaggregated multimodal model inference and serving framework that extends vLLM to support any-to-any modality unified inference and high-performance deployment.
A high-performance OpenAI-compatible API server for MLX models on Apple Silicon, supporting text, vision, audio transcription, and image generation/editing.
Full computer-use system for AI agents on macOS, exposing 29 MCP tools for structured perception, visual grounding, synthetic input, and self-learning Recipe workflows.
A cross-platform desktop AI productivity client that unifies access to multiple LLM providers, featuring side-by-side model comparison, knowledge base building, AI image generation, and MCP extension support.
A learnable, configurable, and pluggable Omni-Avatar Assistant framework built on LiveKit, featuring real-time interaction, multimodal memory, user persona, and external tool integration.
A Windows desktop application integrating chat, text-to-speech, image generation from text, and machine translation. It supports mainstream AI services and MCP server plugins, with full AOT compilation to deliver an excellent desktop AI experience.
An AI agent framework for building and managing multi-modal agent systems with augmented reality capabilities and remote operation functionality.
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