Comparison
Dragonfire vs agent-kernel
Verdict
Pick Dragonfire if dragonfire is an open-source virtual assistant for Ubuntu based distributions that emphasizes speech recognition and text-to-speech capabilities; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · Dragonfire alternatives · agent-kernel alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Dragonfire | agent-kernel |
|---|---|---|
| Maintenance | Dormant (1346d since push) As of 3w · github_public_v1 | Very active (2d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Dragonfire
- Open-source virtual assistant for Ubuntu based distributions
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- Dragonfire
- 1.4k
- agent-kernel
- 113
Forks
- Dragonfire
- 211
- agent-kernel
- 60
Open issues
- Dragonfire
- 48
- agent-kernel
- 128
Language
- Dragonfire
- Python
- agent-kernel
- Python
Adopt for
- Dragonfire
- Dragonfire is an open-source virtual assistant for Ubuntu based distributions that emphasizes speech recognition and text-to-speech capabilities.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- Dragonfire
- developer harness
- agent-kernel
- -
Runtime
- Dragonfire
- -
- agent-kernel
- -
License
- Dragonfire
- MIT
- agent-kernel
- Apache-2.0
Last pushed
- Dragonfire
- Nov 21, 2022
- agent-kernel
- Aug 7, 2026
Categories
- Dragonfire
- AI Agents, Speech & Audio
- agent-kernel
- AI Agents
Trust and health
Maintenance
- Dragonfire
- Dormant (18%)
- agent-kernel
- Very active (96%)
Days since push
- Dragonfire
- 1346d
- agent-kernel
- 2d
Open issues (now)
- Dragonfire
- 48
- agent-kernel
- 128
OSV dependency advisories
- Dragonfire
- Published findings
- agent-kernel
- No lockfile (source not queried)
Full report
- Dragonfire
- Trust report
- agent-kernel
- Trust report
Choose Dragonfire if…
- License: Dragonfire is MIT, agent-kernel is Apache-2.0.
- Pricing: 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.
- Tags unique to Dragonfire: artificial-intelligence, chatbot, kaldi, linux.
- Also covers Speech & Audio.
- Dragonfire ships Docker support for self-hosted deployment.
- 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.
When NOT to use Dragonfire
- 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.
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, Dragonfire is MIT.
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (DragonComputer/Dragonfire) · observed Jul 30, 2026
- GitHub forks (DragonComputer/Dragonfire) · observed Jul 30, 2026
- Last push (DragonComputer/Dragonfire) · observed Nov 21, 2022
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Aug 9, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Aug 9, 2026
- Last push (yaalalabs/agent-kernel) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Dragonfire 1.4k · agent-kernel 113 (synced Jul 30, 2026).
Common questions
- What is the difference between Dragonfire and agent-kernel?
- Dragonfire: Open-source virtual assistant for Ubuntu based distributions. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose Dragonfire over agent-kernel?
- Choose Dragonfire over agent-kernel when License: Dragonfire is MIT, agent-kernel is Apache-2.0; Pricing: 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; Tags unique to Dragonfire: artificial-intelligence, chatbot, kaldi, linux; Also covers Speech & Audio; Dragonfire ships Docker support for self-hosted deployment; 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.
- When should I choose agent-kernel over Dragonfire?
- Choose agent-kernel over Dragonfire when License: agent-kernel is Apache-2.0, Dragonfire is MIT; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- When should I avoid Dragonfire?
- 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.
- When should I avoid agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is Dragonfire or agent-kernel more popular on GitHub?
- Dragonfire has more GitHub stars (1,406 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are Dragonfire and agent-kernel open source?
- Yes - both are open-source projects on GitHub (Dragonfire: MIT, agent-kernel: Apache-2.0).
- Where can I find alternatives to Dragonfire or agent-kernel?
- GraphCanon lists graph-backed alternatives at Dragonfire alternatives and agent-kernel alternatives (Dragonfire markdown twin, agent-kernel markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Dragonfire or agent-kernel?
- Dragonfire: Dormant. agent-kernel: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Dragonfire and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Dragonfire trust report; agent-kernel trust report.