Curated with by@mohithkumar808

№ 0955GitHub

SparkAgent voice and computer-control agent

A fork of NemoAgent that swaps the LLM layer to OpenCode Go models, defaulting every role (dialogue agent, executor, router) to Muse Spark 1.3 Contributor with a per-role reasoning level.

Open source github.com
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aleksandr13254/sparkagentREADME ↗

SparkAgent

Форк NemoAgent: голосовой и текстовый ассистент с управлением компьютером, построенный по схеме
«тонкий сервер, толстый клиент». Отличие от NemoAgent — только LLM-слой: все текстовые роли
(диалоговый агент, исполнитель, маршрутизатор) и медиа-вызовы работают на моделях OpenCode Go
($10/мес, https://opencode.ai/zen/go/v1). По умолчанию везде Muse Spark 1.3 Contributor, в настройках
каждая роль переключается на любую другую модель подписки (Grok, GPT, GLM, Kimi, DeepSeek, Qwen и др.),
а для Muse Spark на каждую роль задаётся свой уровень reasoning (minimal/low/medium/high/xhigh).
Интерфейс, распознавание речи (faster-whisper), синтез речи (TeraTTSv2), инструменты и память —
без изменений. Долговременная память по-прежнему считается эмбеддингами NVIDIA NIM.

SparkAgent представляет собой голосового и текстового ассистента с управлением компьютером, построенного по схеме
«тонкий сервер, толстый клиент». Сервер скрывает от клиента работу с языковой моделью Muse Spark и не хранит
состояния между сеансами; клиент выполняется на компьютере пользователя и отвечает за распознавание речи,
синтез речи, исполнение команд, историю диалогов и долговременную память.

Содержание

  1. Назначение и состав
  2. Архитектура
  3. Обработка запроса
  4. Хранение данных
  5. Функциональные возможности
  6. Производительность
  7. Установка и конфигурация
  8. Пользовательский интерфейс
  9. Структура исходного кода
  10. Ограничения и особенности эксплуатации

1. Назначение и состав

SparkAgent voice and computer-control agent on github.com

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