--- title: "parlor vs AutoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fikrikarim-parlor-vs-significant-gravitas-autogpt" tools: ["fikrikarim-parlor", "significant-gravitas-autogpt"] --- # parlor vs AutoGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick parlor when parlor is primarily HTML; AutoGPT is Python; pick AutoGPT when autoGPT is primarily Python; parlor is HTML. [parlor](https://github.com/fikrikarim/parlor) reports 1.9k GitHub stars, 240 forks, and 7 open issues, last pushed Jul 11, 2026. [AutoGPT](https://agpt.co) has 185k stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [parlor's repository](https://github.com/fikrikarim/parlor) and [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT). | | [parlor](/tools/fikrikarim-parlor.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Tagline | On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro. | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | | Stars | 1,894 | 185,464 | | Forks | 240 | 46,111 | | Open issues | 7 | 494 | | Language | HTML | Python | | Adopt for | - | AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | LLM Frameworks, Speech & Audio, Computer Vision | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [parlor](/tools/fikrikarim-parlor.md) | [AutoGPT](/tools/significant-gravitas-autogpt.md) | | --- | --- | --- | | Open issues (now) | 7 | 494 | | Owner type | User | Organization | | Full report | [trust report](/tools/fikrikarim-parlor/trust.md) | [trust report](/tools/significant-gravitas-autogpt/trust.md) | ## Decision facts: AutoGPT - **Adopt for:** AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude. ## Choose when ### Choose parlor if… - parlor is primarily HTML; AutoGPT is Python. - License: parlor is Apache-2.0, AutoGPT is Other. - Tags unique to parlor: gemma, litert-lm, kokoro, on-device-ai. - Also covers Speech & Audio, Computer Vision. ### Choose AutoGPT if… - AutoGPT is primarily Python; parlor is HTML. - License: AutoGPT is Other, parlor is Apache-2.0. - Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence. - Also covers AI Agents. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ## When NOT to use parlor - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use AutoGPT - Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. - If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ## Common questions ### What is the difference between parlor and AutoGPT? parlor: On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories. ### When should I choose parlor over AutoGPT? Choose parlor over AutoGPT when parlor is primarily HTML; AutoGPT is Python; License: parlor is Apache-2.0, AutoGPT is Other; Tags unique to parlor: gemma, litert-lm, kokoro, on-device-ai; Also covers Speech & Audio, Computer Vision. ### When should I choose AutoGPT over parlor? Choose AutoGPT over parlor when AutoGPT is primarily Python; parlor is HTML; License: AutoGPT is Other, parlor is Apache-2.0; Tags unique to AutoGPT: agents, llm, ai, artificial-intelligence; Also covers AI Agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### When should I avoid parlor? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid AutoGPT? Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools. ### Is parlor or AutoGPT more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 1,894). Stars measure visibility, not whether either tool fits your constraints. ### Are parlor and AutoGPT open source? Yes - both are open-source projects on GitHub (parlor: Apache-2.0, AutoGPT: Other). ### Where can I find alternatives to parlor or AutoGPT? GraphCanon lists graph-backed alternatives at [parlor alternatives](/tools/fikrikarim-parlor/alternatives) and [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) ([parlor markdown twin](/tools/fikrikarim-parlor/alternatives.md), [AutoGPT markdown twin](/tools/significant-gravitas-autogpt/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/fikrikarim-parlor-vs-significant-gravitas-autogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, parlor or AutoGPT? parlor: Very active. AutoGPT: 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 parlor and AutoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [parlor trust report](/tools/fikrikarim-parlor/trust); [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fikrikarim-parlor`](/api/graphcanon/graph?tool=fikrikarim-parlor) - 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/_