--- title: "Dragonfire vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dragoncomputer-dragonfire-vs-yaalalabs-agent-kernel" tools: ["dragoncomputer-dragonfire", "yaalalabs-agent-kernel"] --- # Dragonfire vs agent-kernel *GraphCanon updated Aug 9, 2026* ## 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. [Dragonfire](http://dragon.computer) reports 1.4k GitHub stars, 211 forks, and 48 open issues, last pushed Nov 21, 2022. [agent-kernel](https://kernel.yaala.ai/) has 113 stars, 60 forks, and 128 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [Dragonfire's repository](https://github.com/DragonComputer/Dragonfire) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [Dragonfire](/tools/dragoncomputer-dragonfire.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | Open-source virtual assistant for Ubuntu based distributions | The Operating System for Scalable Enterprise AI Agents | | Stars | 1,406 | 113 | | Forks | 211 | 60 | | Open issues | 48 | 128 | | Language | Python | Python | | Adopt for | Dragonfire is an open-source virtual assistant for Ubuntu based distributions that emphasizes speech recognition and text-to-speech capabilities. | 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 | developer harness | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Speech & Audio | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Dragonfire](/tools/dragoncomputer-dragonfire.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1346d | 2d | | Open issues (now) | 48 | 128 | | Full report | [trust report](/tools/dragoncomputer-dragonfire/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Decision facts: Dragonfire - **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 - **Adopt for:** Dragonfire is an open-source virtual assistant for Ubuntu based distributions that emphasizes speech recognition and text-to-speech capabilities. - **Persona:** developer harness ## Decision facts: agent-kernel - **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. - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/dragoncomputer-dragonfire/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([Dragonfire markdown twin](/tools/dragoncomputer-dragonfire/alternatives.md), [agent-kernel markdown twin](/tools/yaalalabs-agent-kernel/alternatives.md)), 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](/compare/dragoncomputer-dragonfire-vs-yaalalabs-agent-kernel.md) 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](/tools/dragoncomputer-dragonfire/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dragoncomputer-dragonfire`](/api/graphcanon/graph?tool=dragoncomputer-dragonfire) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_