Shanghai Piaoshi Network's DPE Fuxing Joins the WorkBuddy and DeepSeek Harness Agent Ecosystems
Shanghai Piaoshi Network's AI-native Web3D digital twin development platform DPE Fuxing has officially integrated with Tencent's WorkBuddy open platform and the DeepSeek Harness open-source framework, allowing users to directly invoke DPE Fuxing from the chat interface to complete digital twin development tasks. DPE Fuxing enters both ecosystems with three layers of capabilities—experts, skills, and connectors—and supports natural language-driven STP assembly import, disassembly and assembly animation generation, and section view output; results can be exported as engineering packages for further development in CIMPro Twin Master.
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Recently, Shanghai Piaoshi Network Co., Ltd. announced that its AI-native Web3D digital prototype and digital twin development platform DPE Fuxing has completed formal integration with two major agent ecosystems: the Tencent WorkBuddy open platform and the DeepSeek Harness open-source framework. Starting today, users invoking agents in these two ecosystems can directly dispatch DPE Fuxing to complete tasks related to digital twin platform development, without leaving the conversation interface.
I. One integration, covering the two current mainstream agent entry points
This integration covers the two agent pathways currently used most frequently by developers and business personnel.
WorkBuddy is a full-scenario AI office workbench launched by Tencent. On September 2, 2026, the WorkBuddy open platform was officially launched, initially bringing in more than 100 partners and opening agent capabilities to hardware manufacturers, industry applications and developers. On the developer side, it opened three types of capability integration: Skill, Expert and Connector.
DeepSeek Harness is an agent runtime framework open-sourced by DeepSeek in August 2026. It released the v0.1 developer preview on the evening of August 13 and adopted the MIT license. It is built on Cordis's "everything is a plugin" architecture, with capabilities such as models, tools, skills, sessions, sandboxes, storage, scheduling and interfaces all provided by plugins. It can run as a desktop application or launch a web interface through code.
DPE Fuxing enters both ecosystems simultaneously with three layers of capability: expert, skill and connector. For developers, this means the 3D content production chain can for the first time be fully closed-loop under agent scheduling, and users no longer need to switch back and forth between the conversation window and professional 3D software.
II. What is DPE Fuxing: a Web3D digital twin development platform you can start working with in the browser
DPE Fuxing is an AI-native Web3D digital twin development platform independently developed by Piaoshi Network. Based on a B/S architecture, users can start producing and publishing 3D content as soon as they open a browser, without installing a client on every terminal.
The platform supports import and assembly hierarchy management for mainstream 3D model formats such as glb, gltf, fbx, obj, ply, stp and stl; it provides a conversational AI assistant to assist with model editing and content production, and supports AI image-to-3D, AI visual recognition and automatic modeling; its zero-code interaction system can configure events, conditions and actions through visual rules, completing interaction effects such as pop-ups, labels and page jumps without writing code; the platform also opens public APIs, SDKs and MCP interfaces, and can connect to CIMPro TwinMaster and various business systems.
In terms of product positioning, DPE Fuxing and CIMPro TwinMaster both belong to Piaoshi Network's product system and share the same underlying capabilities, but have different emphases: CIMPro TwinMaster uses a C/S architecture and is oriented toward high-performance local editing, complex scene construction and engineering-grade delivery; DPE Fuxing uses a B/S architecture and is oriented toward lightweight browser-side operations, rapid collaboration and agent scheduling. The two interoperate on engineering data: digital prototype results completed in DPE Fuxing can be imported into CIMPro TwinMaster for further development, and CIMPro TwinMaster's model assets can also be lightly edited and shared in DPE Fuxing.
III. After integration, what exactly can agents do
After integration, DPE Fuxing plays the "hands-on" role in the agent ecosystem: the agent is responsible for understanding intent, breaking down tasks and scheduling tools, while DPE Fuxing is responsible for executing modeling and production actions in 3D space.
Users can directly drive DPE Fuxing with natural language instructions to complete operations such as STP assembly import, assembly hierarchy parsing, disassembly animation generation and section view output; agents can also understand business-oriented task descriptions such as "turn this equipment into an interactive disassembly training courseware" and autonomously dispatch DPE Fuxing to complete the production; the generated results can be exported as standard engineering packages, further developed in CIMPro TwinMaster, or delivered directly to end users.
For non-professional users, the change in this chain is even more direct. In the past, completing a disassembly training courseware required personnel with 3D software operation skills to click through step by step; now, users can describe the goal in natural language, and the agent handles tool selection and parameter scheduling.
IV. Division of labor with CIMPro TwinMaster: not a replacement, but completing a link
Piaoshi Network makes clear in its product planning that DPE Fuxing's ecosystem integration is not a replacement for CIMPro TwinMaster, but rather completes the link of "lightweight, browser-side, agent-callable."
Daily quick editing, remote collaboration and training courseware production can be completed in DPE Fuxing; complex scene construction, high-performance rendering and engineering-grade delivery continue to be handled by CIMPro TwinMaster; the two interoperate on engineering, so assets are built once and reused across multiple ends.
The head of Piaoshi Network's digital twin product line said:
"The significance of this integration is not having one more entry point, but that 3D content can for the first time be directly driven by agents. In the past, making a disassembly training courseware required someone who understood 3D software to click through it step by step in the software; now, business personnel can explain the requirements clearly, and the agent can put them into 3D space. For enterprises, the most direct change is that 3D content production no longer depends on a small number of professional positions."
V. Why now: agent standards implementation and the digital twin market are accelerating in sync
Integrating professional software into the agent ecosystem is moving from technical demos toward routine product configuration.
In May 2026, the Cyberspace Administration of China, the National Development and Reform Commission, and the Ministry of Industry and Information Technology jointly issued the "Implementation Opinions on Standardized Application and Innovative Development of Agents," proposing to actively and steadily promote the application of typical agent scenarios, drive the optimization and upgrading of technology products, and explore and form replicable and scalable models for agent deployment.
Expansion on the market side is equally evident. According to the China Academy of Information and Communications Technology's "Digital Twin City Research Report (2026)," from January to November 2025, the number of digital twin-related projects nationwide exceeded 2,000, an increase of about 33% compared with the full year of 2024; during the same period, total winning bid amounts reached 17.5 billion yuan, an increase of about 34% compared with the full year of 2024. The report predicts that in 2026 the scale of China's digital twin market will further exceed 22 billion yuan. Among these, urban parks and campuses, industrial manufacturing, and water affairs and water conservancy are the three core application areas at present, together accounting for more than 50% of the market share.
The threshold for 3D content production is also declining in tandem. AI-assisted modeling is compressing modeling cycles that originally required days or even weeks down to the hour level, and the most time-consuming steps, such as model import and hierarchy management, are beginning to be taken over by conversational tools. DPE Fuxing chose this point in time to complete dual-ecosystem integration, precisely targeting the automation upgrade of the 3D content production process.
VI. How to get started?
Users of the WorkBuddy and DeepSeek Harness ecosystems can directly search for and invoke DPE Fuxing's related skills and expert capabilities within the corresponding platforms; CIMPro Luandashi users can obtain DPE Fuxing's trial access and integration guide through official channels.
In terms of product cadence, on October 23, the DPE Digital Prototype Technology Open Day was held in Shanghai, where live hands-on demonstrations showed the complete pipeline of agents orchestrating DPE Fuxing, including model import, assembly hierarchy management, AI-native feature demonstrations, and zero-code interaction configuration. Earlier, on October 22, the first session of the DPE open class completed a full-process demonstration from model import to interaction deployment via online livestream.
Going forward, Piaoshi Network will continue to update integration tutorials and scenario cases, and advance the building of skills and expert capabilities in more industry scenarios.
About Piaoshi Network
Shanghai Piaoshi Network Co., Ltd. was founded in 2015 and is headquartered in Songjiang District, Shanghai. It is a software and information technology services enterprise focused on digital twin technology, a national high-tech enterprise, and a specialized, refined, distinctive and innovative SME. Its product system includes the CIMPro Luandashi digital twin development platform, the DPE Fuxing Web3D digital twin development platform, and the PLW Qinggou industrial model lightweighting platform, with business covering fields such as military simulation, intelligent manufacturing, energy and power, ships and marine, infrastructure, smart cities, and smart parks.