Coze 2.5 Turns AI Agents into On-Floor Operators

Coze 2.5 turns AI assistants into on-floor operators.

In its latest release, Coze folds personalized AI agents, workflow automation, and long-term memory into a single conversational workspace. Users can manage schedules, files, emails, and devices without leaving a chat, a design that directly targets the frictions Chinese factories feel when switching between dozens of apps to track a single order or issue a line-stop.

The update centers on长上下文记忆—long-context memory—that lets agents recall past interactions across sessions. In practice, that means a single conversational thread can reference prior approvals, supplier negotiations, or maintenance histories, reducing the need to re-summarize every time a task resumes. The company also introduces云端设备 (cloud-based devices), including virtual computers and smartphones, allowing AI agents to perform tasks that ordinarily require real-world interfaces: browsing supplier portals, filling forms, or interacting with mobile apps. The result is a more fluid, end-to-end workflow where the AI can operate a browser, click through screens, and pull data from multiple sources without a human intermediary.

A standout element is the Agent World, the Skill ecosystem where functional modules—Skills—can be installed and shared. In Mandarin-language descriptions, Skills are designed to standardize recurring workflows and push efficiency gains across teams. The platform’s emphasis on continuous learning suggests these agents will adapt to individual user preferences over time, refining task execution with more context and fewer prompts.

This is not abstract dreamwork. For managers wrestling with the repetitive drudgery of factory coordination, Coze 2.5 promises a practical layer that sits atop existing systems rather than forcing a wholesale replacement. By unifying scheduling, document handling, and device control under one conversational umbrella, the system aims to shorten decision cycles on the shop floor and between procurement, production, and logistics teams. The cloud-based devices also hint at new modes of work: an operator could instruct the AI to pull real-time MES data, place a bulk order with a supplier portal, or assign task tickets to maintenance crews—all through a single chat window.

From a policy and ecosystem perspective, this update lands at a moment when China’s manufacturing sector is converging AI-driven efficiency with data governance and cybersecurity concerns. cloud-enabled AI workflows require clear data stewardship rules and compliant storage strategies, particularly as long-context memory aggregates cross-functional information. In practice, manufacturers will want to define what constitutes sensitive data in memory, how long it is retained, and how information is accessed by different user roles.

What to watch next, from a practitioner’s lens:

Integration gatekeeping: the true test will be how easily Coze 2.5 can plug into existing MES/ERP and procurement platforms. Without clean integrations, the “one interface” promise risks becoming a glorified chatbot that shuffles tasks rather than accelerates them.

Memory management and governance:长上下文记忆 is powerful, but it creates data-privacy and audit trails that require disciplined policies. Companies should establish retention windows, access controls, and sandboxed contexts so past conversations don’t leak into unrelated workflows.

Skills marketplace dynamics: Agent World’s shared Skills could become a rapid-integration highway or a vendor-locking trap. Buyers should assess the openness of the ecosystem, version control, and support for custom, industry-specific Modules.

Security and localization: cloud-based tasks cross borders into cloud infrastructure and API surfaces. Expect closer attention to domestic cloud partnerships, language-tuned models, and compliance with China’s data-security regime as adoption scales.

In short, Coze 2.5 codifies a concrete, on-floor operator mindset for AI in China’s factories: fewer clicks, more memory, and a shared ecosystem of reusable tasks. If manufacturers meaningfully control the integration and governance of this AI layer, the platform could translate into tangible gains in throughput and visibility across the supply chain. If not, it risks becoming another interface that promises speed but delivers inconsistent results.

Sources

Coze 2.5 Enhances AI Agent Personalization and Workflow Integration