--- title: "Dragonfire vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dragoncomputer-dragonfire-vs-framerslab-agentos" tools: ["dragoncomputer-dragonfire", "framerslab-agentos"] --- # Dragonfire vs agentos *GraphCanon updated Aug 23, 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 agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [Dragonfire](http://dragon.computer) reports 1.4k GitHub stars, 211 forks, and 48 open issues, last pushed Nov 21, 2022. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [Dragonfire's repository](https://github.com/DragonComputer/Dragonfire) and [agentos's repository](https://github.com/framerslab/agentos). | | [Dragonfire](/tools/dragoncomputer-dragonfire.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Open-source virtual assistant for Ubuntu based distributions | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 1,406 | 617 | | Forks | 211 | 92 | | Open issues | 48 | 10 | | Language | Python | TypeScript | | Adopt for | Dragonfire is an open-source virtual assistant for Ubuntu based distributions that emphasizes speech recognition and text-to-speech capabilities. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | 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) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1346d | 15d | | Open issues (now) | 48 | 10 | | Stars delta | Unknown | +16 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/dragoncomputer-dragonfire/trust.md) | [trust report](/tools/framerslab-agentos/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: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose Dragonfire if… - Dragonfire is primarily Python; agentos is TypeScript. - License: Dragonfire is MIT, agentos 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 agentos if… - agentos is primarily TypeScript; Dragonfire is Python. - License: agentos is Apache-2.0, Dragonfire is MIT. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ## 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between Dragonfire and agentos? Dragonfire: Open-source virtual assistant for Ubuntu based distributions. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose Dragonfire over agentos? Choose Dragonfire over agentos when Dragonfire is primarily Python; agentos is TypeScript; License: Dragonfire is MIT, agentos 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 agentos over Dragonfire? Choose agentos over Dragonfire when agentos is primarily TypeScript; Dragonfire is Python; License: agentos is Apache-2.0, Dragonfire is MIT; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is Dragonfire or agentos more popular on GitHub? Dragonfire has more GitHub stars (1,406 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are Dragonfire and agentos open source? Yes - both are open-source projects on GitHub (Dragonfire: MIT, agentos: Apache-2.0). ### Where can I find alternatives to Dragonfire or agentos? GraphCanon lists graph-backed alternatives at [Dragonfire alternatives](/tools/dragoncomputer-dragonfire/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([Dragonfire markdown twin](/tools/dragoncomputer-dragonfire/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Dragonfire or agentos? Dragonfire: Dormant. agentos: 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 agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Dragonfire trust report](/tools/dragoncomputer-dragonfire/trust); [agentos trust report](/tools/framerslab-agentos/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/_