--- title: "openagent vs Open-AutoGLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/haohao-end-openagent-vs-zai-org-open-autoglm" tools: ["haohao-end-openagent", "zai-org-open-autoglm"] --- # openagent vs Open-AutoGLM *GraphCanon updated Aug 21, 2026* ## Verdict Pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license; 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 control the device and visual models for screen感知与操作. [openagent](https://openllm.cloud) reports 792 GitHub stars, 80 forks, and 46 open issues, last pushed Jul 17, 2026. [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 [openagent's repository](https://github.com/Haohao-end/openagent) and [Open-AutoGLM's repository](https://github.com/zai-org/Open-AutoGLM). | | [openagent](/tools/haohao-end-openagent.md) | [Open-AutoGLM](/tools/zai-org-open-autoglm.md) | | --- | --- | --- | | Tagline | Harness architecture for rapidly building vertical AI agents | An Open Phone Agent Model & Framework. Unlocking the AI Phone for Everyone | | Stars | 792 | 26,040 | | Forks | 80 | 4,016 | | Open issues | 46 | 262 | | Language | Python | Python | | Adopt for | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | 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, Data & Retrieval, Vector Databases | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openagent](/tools/haohao-end-openagent.md) | [Open-AutoGLM](/tools/zai-org-open-autoglm.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 34d | 165d | | Open issues (now) | 46 | 262 | | Stars delta | +21 (30d) | +220 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/haohao-end-openagent/trust.md) | [trust report](/tools/zai-org-open-autoglm/trust.md) | ## Decision facts: openagent - **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. ## 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 openagent if… - License: openagent is MIT, Open-AutoGLM is Apache-2.0. - Tags unique to openagent: ai, celery, deepagents, deepresearch. - Also covers Data & Retrieval, Vector Databases. - Need integration of OpenAI and Dify functionalities. ### Choose Open-AutoGLM if… - License: Open-AutoGLM is Apache-2.0, openagent 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 openagent - Projects requiring only basic AI functionality without deep reasoning loops or RAG. - Teams preferring non-Python environments for AI agent development. ## 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 openagent and Open-AutoGLM? openagent: Harness architecture for rapidly building vertical AI agents. 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 openagent over Open-AutoGLM? Choose openagent over Open-AutoGLM when License: openagent is MIT, Open-AutoGLM is Apache-2.0; Tags unique to openagent: ai, celery, deepagents, deepresearch; Also covers Data & Retrieval, Vector Databases; Need integration of OpenAI and Dify functionalities. ### When should I choose Open-AutoGLM over openagent? Choose Open-AutoGLM over openagent when License: Open-AutoGLM is Apache-2.0, openagent 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 openagent? Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development. ### 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 openagent or Open-AutoGLM more popular on GitHub? Open-AutoGLM has more GitHub stars (26,040 vs 792). Stars measure visibility, not whether either tool fits your constraints. ### Are openagent and Open-AutoGLM open source? Yes - both are open-source projects on GitHub (openagent: MIT, Open-AutoGLM: Apache-2.0). ### Where can I find alternatives to openagent or Open-AutoGLM? GraphCanon lists graph-backed alternatives at [openagent alternatives](/tools/haohao-end-openagent/alternatives) and [Open-AutoGLM alternatives](/tools/zai-org-open-autoglm/alternatives) ([openagent markdown twin](/tools/haohao-end-openagent/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/haohao-end-openagent-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, openagent or Open-AutoGLM? openagent: Steady. 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 openagent and Open-AutoGLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openagent trust report](/tools/haohao-end-openagent/trust); [Open-AutoGLM trust report](/tools/zai-org-open-autoglm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=haohao-end-openagent`](/api/graphcanon/graph?tool=haohao-end-openagent) - 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/_