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Dragonfire

Dragonfire is an open-source virtual assistant application for Ubuntu-based Linux distributions. It processes voice commands using speech recognition, checks built-in commands, and can return spoken responses; a command-line mode accepts keyboard input instead. Its command flow also includes natural-language learning, open-domain question answering and a conversational response system.

Independent OpenViST project profile, based on linked sources.

Dragonfire — OpenViST project profile in Chat & Assistants.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Dragonfire when you want to explore or run a Linux assistant that handles spoken commands and can also accept keyboard input. Consider its server mode separately when the need is a no-audio RESTful spaCy API rather than desktop voice interaction.

Who it is for

  • Linux desktop users who want to issue commands by voice.
  • People who prefer entering commands through a keyboard-based CLI.
  • Developers exploring an MIT-licensed Python assistant that combines speech recognition, command handling and NLP.

Documented uses

  • Speak a command and have Dragonfire check its built-in command set.
  • Submit a command through keyboard input instead of a microphone.
  • Ask an open-domain question that Dragonfire routes to its question-answering step.
  • Run a server mode that disables audio and serves a RESTful spaCy API.
Before you choose

Requirements & limits

The project is open source under the MIT license. The README documents Linux, Python 3.x 64-bit, and Debian or Ubuntu desktop installation; it also lists KDE neon and elementary OS among supported distributions.

  • Voice recognition uses Mozilla DeepSpeech by default; the README also documents a Google Speech Recognition option.
  • Festival is identified as the text-to-speech component, and a silent option disables audio output.
  • The desktop installation downloads a 1.31 GB pretrained English DeepSpeech model.
  • The Docker image is described as omitting that large speech-recognition model.
  • The README lists English as the supported language.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Dragonfire on Debian or Ubuntu

Install the desktop assistant using the release package or source repository.

Before you start

  • A desktop Debian or Ubuntu system.
  • Use either the latest .deb release package or a cloned GitHub repository.

Steps

  1. For the release-package route, download the latest .deb file and run sudo dpkg -i dragonfire_1.1.1_amd64.deb.

  2. Run sudo apt-get -f install to install dependencies.

  3. Alternatively, clone the repository and run sudo make install from its directory.

Expected outcome

Dragonfire is installed on the Debian or Ubuntu desktop system; the package installation automatically downloads the pretrained English DeepSpeech model.

Guide limitations

  • The pretrained English model download is 1.31 GB.
  • The README describes this installation route for desktop Debian or Ubuntu systems.
Source-based practical guide

Use Dragonfire through keyboard input

Start Dragonfire in command-line mode so commands are entered by keyboard rather than microphone.

Before you start

  • Dragonfire installed on a supported Linux system.
  • Access to a terminal.

Steps

  1. Start Dragonfire with the -c or --cli option.

  2. Enter commands through the command-line interface instead of speaking into a microphone.

Expected outcome

Dragonfire accepts command-line text input rather than audio input.

Guide limitations

  • The README identifies this mode as keyboard input; it does not describe a separate installation or configuration procedure for CLI use.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
DragonComputer/Dragonfire · Official homepage title · retained in its source language