MediaClaw统一多模态AIGC能力，实现插件化扩展与可复用工作流。
MediaClaw: Multimodal Intelligent-Agent Platform Technical Report
- 三层架构整合抽象、插件扩展与流程编排
- 将复杂生产流程封装为可复用的技能模块
- 适合构建可复用的多模态生成平台
MediaClaw 是基于 OpenClaw 生态构建的多模态智能体平台，采用统一抽象、插件化扩展和工作流编排的三层架构。旨在解决 AIGC 应用落地中的能力碎片化、接口异构、流程割裂及高质量工作流复用难等实际问题。系统将全类别 AIGC 能力抽象为统一调用模型，通过插件支持热插拔式能力扩展，并利用面向任务的 Skills 将复杂生产流程转化为可复用的工作流资产。本报告聚焦 MediaClaw 的架构设计哲学、核心能力模型设计逻辑及关键工程权衡，旨在为构建多模态能力平台提供可复用的实践参考。
原文摘要 · Abstract (English)
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.
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