--- title: "AutoGPT vs zeno" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/significant-gravitas-autogpt-vs-zeno-ml-zeno" tools: ["significant-gravitas-autogpt", "zeno-ml-zeno"] --- # AutoGPT vs zeno *GraphCanon updated Jul 11, 2026* ## Verdict Pick AutoGPT when autoGPT is primarily Python; zeno is Svelte; pick zeno when zeno is primarily Svelte; AutoGPT is Python. [AutoGPT](https://agpt.co) reports 185k GitHub stars, 46k forks, and 494 open issues, last pushed Jul 11, 2026. [zeno](https://zenoml.com) has 214 stars, 11 forks, and 45 open issues, last pushed Oct 5, 2023. Figures are from public GitHub metadata via [AutoGPT's repository](https://github.com/Significant-Gravitas/AutoGPT) and [zeno's repository](https://github.com/zeno-ml/zeno). | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [zeno](/tools/zeno-ml-zeno.md) | | --- | --- | --- | | Tagline | AutoGPT is the vision of accessible AI for everyone, to use and to build on. | AI Data Management & Evaluation Platform | | Stars | 185,464 | 214 | | Forks | 46,111 | 11 | | Open issues | 494 | 45 | | Language | Python | Svelte | | 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 | Other | MIT | | Categories | LLM Frameworks, AI Agents | LLM Frameworks, Speech & Audio, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoGPT](/tools/significant-gravitas-autogpt.md) | [zeno](/tools/zeno-ml-zeno.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 1010d | | Archived on GitHub | No | Yes | | Open issues (now) | 494 | 45 | | Security scan | No lockfile | 58 low (58 low) | | Full report | [trust report](/tools/significant-gravitas-autogpt/trust.md) | [trust report](/tools/zeno-ml-zeno/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 AutoGPT if… - AutoGPT is primarily Python; zeno is Svelte. - License: AutoGPT is Other, zeno is MIT. - Tags unique to AutoGPT: agents, llm, artificial-intelligence, agentic-ai. - Also covers AI Agents. - When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise. ### Choose zeno if… - zeno is primarily Svelte; AutoGPT is Python. - License: zeno is MIT, AutoGPT is Other. - Tags unique to zeno: svelte, data-science, evaluation, machine-learning. - Also covers Speech & Audio, Computer Vision. ## 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. ## When NOT to use zeno - zeno is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between AutoGPT and zeno? AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoGPT over zeno? Choose AutoGPT over zeno when AutoGPT is primarily Python; zeno is Svelte; License: AutoGPT is Other, zeno is MIT; Tags unique to AutoGPT: agents, llm, artificial-intelligence, agentic-ai; 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 choose zeno over AutoGPT? Choose zeno over AutoGPT when zeno is primarily Svelte; AutoGPT is Python; License: zeno is MIT, AutoGPT is Other; Tags unique to zeno: svelte, data-science, evaluation, machine-learning; Also covers Speech & Audio, Computer Vision. ### 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. ### When should I avoid zeno? zeno is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is AutoGPT or zeno more popular on GitHub? AutoGPT has more GitHub stars (185,464 vs 214). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoGPT and zeno open source? Yes - both are open-source projects on GitHub (AutoGPT: Other, zeno: MIT). ### Where can I find alternatives to AutoGPT or zeno? GraphCanon lists graph-backed alternatives at [AutoGPT alternatives](/tools/significant-gravitas-autogpt/alternatives) and [zeno alternatives](/tools/zeno-ml-zeno/alternatives) ([AutoGPT markdown twin](/tools/significant-gravitas-autogpt/alternatives.md), [zeno markdown twin](/tools/zeno-ml-zeno/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/significant-gravitas-autogpt-vs-zeno-ml-zeno.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoGPT or zeno? AutoGPT: Very active. zeno: Archived. 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 AutoGPT and zeno? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoGPT trust report](/tools/significant-gravitas-autogpt/trust); [zeno trust report](/tools/zeno-ml-zeno/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=significant-gravitas-autogpt`](/api/graphcanon/graph?tool=significant-gravitas-autogpt) - 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/_