MediaClaw: Multimodal Intelligent-Agent Platform Technical Report
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arXiv
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866913129166798848 |
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| author | Zhao, Shaoan Gao, Huanlin Hui, Qiang Lu, Ting Guo, Xueqiang Li, Yantao Su, Xinpei Shi, Fuyuan Tan, Chao Zhao, Fang Wang, Kai Lian, Shiguo |
| author_facet | Zhao, Shaoan Gao, Huanlin Hui, Qiang Lu, Ting Guo, Xueqiang Li, Yantao Su, Xinpei Shi, Fuyuan Tan, Chao Zhao, Fang Wang, Kai Lian, Shiguo |
| contents | MediaClaw is a multimodal agent platform built on the OpenClaw ecosystem. Its core design follows a three-layer architecture of unified abstraction, pluginized extension, and workflow orchestration. The system is intended to address practical deployment pain points in AIGC adoption, including fragmented capabilities, heterogeneous interfaces, disconnected production processes, and limited reuse of high-quality production workflows. \system{} abstracts full-category AIGC capabilities into a unified invocation model, uses plugins to support hot-pluggable capability expansion, and uses task-oriented Skills to turn complex production processes into reusable workflow assets. This report focuses on the architectural design philosophy of MediaClaw, the design logic of its core capability model, and the key engineering trade-offs in implementation. It aims to provide reusable practical reference for building multimodal capability platforms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_14771 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | MediaClaw: Multimodal Intelligent-Agent Platform Technical Report Zhao, Shaoan Gao, Huanlin Hui, Qiang Lu, Ting Guo, Xueqiang Li, Yantao Su, Xinpei Shi, Fuyuan Tan, Chao Zhao, Fang Wang, Kai Lian, Shiguo Artificial Intelligence MediaClaw is a multimodal agent platform built on the OpenClaw ecosystem. Its core design follows a three-layer architecture of unified abstraction, pluginized extension, and workflow orchestration. The system is intended to address practical deployment pain points in AIGC adoption, including fragmented capabilities, heterogeneous interfaces, disconnected production processes, and limited reuse of high-quality production workflows. \system{} abstracts full-category AIGC capabilities into a unified invocation model, uses plugins to support hot-pluggable capability expansion, and uses task-oriented Skills to turn complex production processes into reusable workflow assets. This report focuses on the architectural design philosophy of MediaClaw, the design logic of its core capability model, and the key engineering trade-offs in implementation. It aims to provide reusable practical reference for building multimodal capability platforms. |
| title | MediaClaw: Multimodal Intelligent-Agent Platform Technical Report |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2605.14771 |