Showing 4 open source projects for "linux voice chat server"

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  • 1
    ODS

    ODS

    Turn your PC, Mac, or Linux box into an AI server.

    ODS, or Osmantic Deployment System, turns a Windows, macOS, or Linux computer into a private AI server. Its installer detects available hardware, selects an appropriate local model, generates credentials, and launches a prewired service stack. The platform combines local model inference with a browser chat interface and a dashboard for managing models, services, GPUs, and extensions. It also integrates agents, voice, workflows, RAG, private search, and image generation. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    SafeClaw

    SafeClaw

    Chat with it via text and voice

    SafeClaw is an open-source, entirely local alternative to cloud-based AI assistants like OpenClaw, enabling users to build a personal assistant that runs on their own machine without incurring API usage charges or exposing data to third-party services. It emphasizes privacy and predictability by using traditional programming, rule-based intent parsing, and established machine learning tools rather than large language models, meaning there are no per-token API costs and deterministic...
    Downloads: 4 This Week
    Last Update:
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  • 3
    nanobot

    nanobot

    🐈 nanobot: The Ultra-Lightweight Clawdbot / OpenClaw

    nanobot is an ultra-lightweight personal AI assistant designed to deliver powerful agent capabilities without unnecessary complexity. Built in just ~4,000 lines of clean, readable code, it offers a minimalist alternative to heavyweight agent frameworks while retaining core intelligence and extensibility. nanobot is optimized for speed and efficiency, enabling fast startup times and low resource usage across environments. Its research-ready architecture makes it easy for developers to...
    Downloads: 3 This Week
    Last Update:
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  • 4
    Qwen-Agent

    Qwen-Agent

    Agent framework and applications built upon Qwen>=3.0

    Qwen-Agent is a framework for building applications / agents using Qwen models (version 3.0+). It provides components for instruction following, tool usage (function calling), planning, memory, RAG (retrieval augmented generation), code interpreter, etc. It ships with example applications (Browser Assistant, Code Interpreter, Custom Assistant), supports GUI front-ends, backends, server setups. Agent workflow can maintain context / memory to perform multi-turn or more complex logic over time....
    Downloads: 0 This Week
    Last Update:
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