GraphCanon updated 3w · GitHub synced 3w
Decision brief
Dragonfire is an open-source virtual assistant for Ubuntu based distributions that emphasizes speech recognition and text-to-speech capabilities.
Good fit when
- If you are working on projects specifically within Debian or Ubuntu Linux environments, Dragonfire can be integrated into your workflow to provide speech-driven interactions.
- Choose this tool when seeking a comprehensive open-source solution that leverages Mozilla DeepSpeech for robust speech recognition functionality.
Avoid when
- Avoid Dragonfire if your operating system is not based on Debian or Ubuntu as the project lacks compatibility with other Linux distributions and non-Linux environments.
- Do not use it in scenarios where immediate small-scale deployment is required, given that installation includes downloading a pre-trained model that significantly increases initial setup time.
- Pricing:
- freemium - Dragonfire is available under the MIT License, which means it can be used freely for commercial and personal projects alike with appropriate attribution.
- Requirements:
- Min 4 GB RAM; Requires Docker
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (1,406) are secondary evidence.
- Docker Hub pulls (30d)
- 3,156·Docker Hub API·3w
Maintenance and security
Full trust report- Maintenance
- Dormant (1346d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- 601 low (601 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install DragonfireSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Dragonfire is an open-source project targeting Debian and Ubuntu Linux distributions. It offers functionalities including speech recognition and text-to-speech through Kaldi and Mozilla DeepSpeech.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 30, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 30, 2026
- Languages
- python
Source: github.language · Jul 30, 2026
Categories
Tags
README
Installation
To run Dragonfire on a desktop Debian or Ubuntu system, either download the latest release (the .deb file) and install as follows:
sudo dpkg -i dragonfire_1.1.1_amd64.deb
or clone the GitHub repository and run
sudo make install
in the repository directory.
To install the dependencies, run sudo apt-get -f install right after the dpkg -i command. The installation will automatically download the pre-trained English model of Mozilla DeepSpeech (1.31 GB download size) and will place it under /usr/share/dragonfire/deepspeech/models directory. You can manually download the model if you wish.
If you want to run Dragonfire on a server, you should install the Docker image (which does not install the huge DeepSpeech model required for speech recognition):
docker pull dragoncomputer/dragonfire
For agents
This page has a .md twin and JSON over the API.