AI desktop agent that sees your screen, controls your cursor, and completes tasks autonomously. Features a 5-layer intelligent fallback pipeline, multiple AI providers (Anthropic/OpenAI/Ollama/Kimi), with Web Dashboard and REST API.
A four-service collaborative AI desktop assistant framework with streaming tool calling, GRAG knowledge graph memory, Live2D avatar, and voice interaction
A local-first AI desktop application integrating conversational AI, visual generation, vector search, and multi-channel connectivity, featuring deep research modes and local knowledge bases.
An open-sourced end-to-end VLM-based GUI Agent developed by Tsinghua University and Zhipu AI, built on GLM-4V-9B bilingual VLM, enabling cross-platform GUI automation and reasoning via screenshots and natural language instructions.
MobileAgent is an autonomous mobile agent framework powered by Multimodal Large Language Models (MLLM), enabling automated mobile app operations and task execution through visual perception and tool invocation.
A learnable, configurable, and pluggable Omni-Avatar Assistant framework built on LiveKit, featuring real-time interaction, multimodal memory, user persona, and external tool integration.
An open-source framework by Stream for building vision AI agents that work with any model or video provider, leveraging Stream's edge network for ultra-low latency video experiences.
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.
Odyssey is a framework that empowers LLM-based Minecraft agents with open-world skills, featuring 40 primitive skills and 183 compositional skills, enabling AI to autonomously explore, learn, and execute diverse tasks in the Minecraft universe.
A customizable AI desktop companion project with character settings, voice conversations, long-term memory capabilities, and sub-1-second response times. Integrates with Live2D models for visual presentation.
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