Chuchote icon
Chuchote icon

Chuchote

Chuchote is a local-first, hands-free voice assistant designed specifically for Ollama, enabling users to interact with local large language models entirely on their own hardware without any cloud dependency.

Cost / License

  • Free
  • Open Source (MIT)

Platforms

  • Mac
  • Windows
  • Linux
  • Python
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Features

Properties

  1.  Privacy focused
  2.  Local-First

Features

  1.  No Tracking
  2.  No registration required
  3.  Works Offline
  4.  No Logs
  5.  Local AI
  6.  Offline
  7.  Speech to text
  8.  Speech Recognition
  9.  Voice recognition

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Chuchote information

  • Developed by

    Cjayy77
  • Licensing

    Open Source (MIT) and Free product.
  • Written in

  • Alternatives

    2 alternatives listed
  • Supported Languages

    • English

AlternativeTo Categories

AI Tools & ServicesDevelopmentSecurity & Privacy

GitHub repository

  •  0 Stars
  •  0 Forks
  •  0 Open Issues
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What is Chuchote?

Chuchote is a local-first, hands-free voice assistant designed specifically for Ollama, enabling users to interact with local large language models entirely on their own hardware without any cloud dependency. The project orchestrates a complete voice pipeline that starts with a configurable wake word detection (powered by openWakeWord) or a push-to-talk fallback, followed by speech-to-text conversion using faster-whisper, local reasoning via an Ollama model, and natural-sounding text-to-speech output through Piper. It features persistent conversation memory stored in a local SQLite database, allowing for coherent multi-turn interactions across restarts, and includes advanced usability options like "barge-in" to interrupt responses, support for dozens of languages via multilingual Whisper models and language-specific Piper voices, and a comprehensive configuration system via a TOML file or command-line flags. Currently in Phase 5 with a completed CLI MVP, Chuchote is written in Python and offers an automated installation script, a diagnostic "doctor" command to verify system readiness, and a MIT license, aiming to provide a privacy-focused, offline-capable alternative to cloud-based voice assistants.