Showing 4 open source projects for "agent"

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  • 1
    OpenVoice

    OpenVoice

    Instant voice cloning by MIT and MyShell. Audio foundation model

    ...The project provides open-weight models, inference code, and examples, making it suitable both for research and for building production voice experiences. It is actively developed by MyShell, which also integrates OpenVoice into broader agent and entertainment workflows.
    Downloads: 25 This Week
    Last Update:
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  • 2
    AI Runner

    AI Runner

    Offline inference engine for art, real-time voice conversations

    ...At the core of its LLM stack is a mode-based architecture with specialized “modes” such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents.
    Downloads: 9 This Week
    Last Update:
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  • 3
    Open Vision Agents by Stream

    Open Vision Agents by Stream

    Build Vision Agents quickly with any model or video provider

    ...The framework uses Stream’s ultra low latency edge network so agents can join sessions quickly and maintain very low audio and video latency while processing frames and generating responses. Developers work with an agent abstraction that connects video edge providers, LLMs, and processors into pipelines, making it easier to orchestrate tasks like object detection, pose estimation, and conversational guidance. The project includes SDKs for React, Android, iOS, Flutter, React Native, and Unity, enabling integration into a wide variety of client environments such as mobile apps, web apps, and games.
    Downloads: 1 This Week
    Last Update:
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  • 4
    StreamSpeech

    StreamSpeech

    StreamSpeech is a seamless model for offline speech recognition

    StreamSpeech is an “all-in-one” speech model designed to perform offline and simultaneous speech recognition, speech translation, and speech synthesis within a single unified architecture. Developed as part of an ACL 2024 paper, it targets streaming and low-latency scenarios where intermediate results and final translations or synthetic speech must be produced continuously as audio is being received. The model supports eight tasks: offline ASR, speech-to-text translation, speech-to-speech...
    Downloads: 0 This Week
    Last Update:
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