--- title: "AutoAgent vs Open-AutoGLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-autoagent-vs-zai-org-open-autoglm" tools: ["hkuds-autoagent", "zai-org-open-autoglm"] --- # AutoAgent vs Open-AutoGLM *GraphCanon updated Aug 19, 2026* ## Verdict Pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments; pick Open-AutoGLM if open-AutoGLM is a framework and model for creating intelligent assistants capable of automating tasks on mobile phones via natural language interaction, using ADB to. [AutoAgent](https://arxiv.org/abs/2502.05957) reports 9.7k GitHub stars, 1.4k forks, and 68 open issues, last pushed Oct 16, 2025. [Open-AutoGLM](https://autoglm.z.ai/blog) has 26k stars, 4.0k forks, and 262 open issues, last pushed Mar 6, 2026. Figures are from public GitHub metadata via [AutoAgent's repository](https://github.com/HKUDS/AutoAgent) and [Open-AutoGLM's repository](https://github.com/zai-org/Open-AutoGLM). | | [AutoAgent](/tools/hkuds-autoagent.md) | [Open-AutoGLM](/tools/zai-org-open-autoglm.md) | | --- | --- | --- | | Tagline | Fully-Automated and Zero-Code LLM Agent Framework | An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone | | Stars | 9,738 | 26,040 | | Forks | 1,357 | 4,016 | | Open issues | 68 | 262 | | Language | Python | Python | | Adopt for | AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments | Open-AutoGLM is a framework and model for creating intelligent assistants capable of automating tasks on mobile phones via natural language interaction, using ADB to control the device and visual models for screen感知与操作. | | Persona | - | - | | Runtime | - | - | | License | MIT | The Apache-2.0 license allows for free use, distribution, and modification of the software provided that these actions maintain attribution to the original authors. | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoAgent](/tools/hkuds-autoagent.md) | [Open-AutoGLM](/tools/zai-org-open-autoglm.md) | | --- | --- | --- | | Days since push | 307d | 165d | | Open issues (now) | 68 | 262 | | Stars delta | +242 (30d) | +220 (30d) | | Open issues delta | -1 (30d) | +1 (30d) | | Full report | [trust report](/tools/hkuds-autoagent/trust.md) | [trust report](/tools/zai-org-open-autoglm/trust.md) | ## Shared compatibility - **Python**: [AutoAgent](/tools/hkuds-autoagent.md) - Python runtime; [Open-AutoGLM](/tools/zai-org-open-autoglm.md) - Python runtime ## Decision facts: AutoAgent - **Adopt for:** AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments ## Decision facts: Open-AutoGLM - **Requirements:** Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions. - **Adopt for:** Open-AutoGLM is a framework and model for creating intelligent assistants capable of automating tasks on mobile phones via natural language interaction, using ADB to control the device and visual models for screen感知与操作. - **License detail:** The Apache-2.0 license allows for free use, distribution, and modification of the software provided that these actions maintain attribution to the original authors. ## Choose when ### Choose AutoAgent if… - License: AutoAgent is MIT, Open-AutoGLM is Apache-2.0. - Tags unique to AutoAgent: llms. - Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience. ### Choose Open-AutoGLM if… - License: Open-AutoGLM is Apache-2.0, AutoAgent is MIT. - Requirements: Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions.. - Tags unique to Open-AutoGLM: phone-use-agent. - When you need an open-source solution for developing multi-modal AI phone agents that can be controlled through natural language. ## When NOT to use AutoAgent - Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. - Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment. ## When NOT to use Open-AutoGLM - If your project requires support for more sophisticated user interface interactions beyond the basic automation capabilities provided by Open-AutoGLM. - When developing for non-Android or non-HarmonyOS devices, as Open-AutoGLM specifically leverages ADB and HDC tools which are primarily designed for these platforms. ## Common questions ### What is the difference between AutoAgent and Open-AutoGLM? AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. Open-AutoGLM: An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoAgent over Open-AutoGLM? Choose AutoAgent over Open-AutoGLM when License: AutoAgent is MIT, Open-AutoGLM is Apache-2.0; Tags unique to AutoAgent: llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience. ### When should I choose Open-AutoGLM over AutoAgent? Choose Open-AutoGLM over AutoAgent when License: Open-AutoGLM is Apache-2.0, AutoAgent is MIT; Requirements: Requires Python 3.10 or above, ADB for Android devices, and potentially HDC for HarmonyOS NEXT versions.; Tags unique to Open-AutoGLM: phone-use-agent; When you need an open-source solution for developing multi-modal AI phone agents that can be controlled through natural language. ### When should I avoid AutoAgent? Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment. ### When should I avoid Open-AutoGLM? If your project requires support for more sophisticated user interface interactions beyond the basic automation capabilities provided by Open-AutoGLM. When developing for non-Android or non-HarmonyOS devices, as Open-AutoGLM specifically leverages ADB and HDC tools which are primarily designed for these platforms. ### Is AutoAgent or Open-AutoGLM more popular on GitHub? Open-AutoGLM has more GitHub stars (26,040 vs 9,738). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoAgent and Open-AutoGLM open source? Yes - both are open-source projects on GitHub (AutoAgent: MIT, Open-AutoGLM: Apache-2.0). ### Where can I find alternatives to AutoAgent or Open-AutoGLM? GraphCanon lists graph-backed alternatives at [AutoAgent alternatives](/tools/hkuds-autoagent/alternatives) and [Open-AutoGLM alternatives](/tools/zai-org-open-autoglm/alternatives) ([AutoAgent markdown twin](/tools/hkuds-autoagent/alternatives.md), [Open-AutoGLM markdown twin](/tools/zai-org-open-autoglm/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/hkuds-autoagent-vs-zai-org-open-autoglm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoAgent or Open-AutoGLM? AutoAgent: Slowing. Open-AutoGLM: Slowing. 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 AutoAgent and Open-AutoGLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoAgent trust report](/tools/hkuds-autoagent/trust); [Open-AutoGLM trust report](/tools/zai-org-open-autoglm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-autoagent`](/api/graphcanon/graph?tool=hkuds-autoagent) - 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/_