Baidu has upgraded its “Da Zai” (搭子) agent platform, adding an enterprise version and announcing a Skill access standard for connecting enterprise AI systems. The move is part of a broader pattern in 2026 of Chinese tech companies pushing into agent infrastructure.
For developers and businesses looking at the Chinese agent ecosystem, Baidu’s Skill standard is a development worth understanding, even if the details are still emerging.
What Baidu Announced
Baidu upgraded “Da Zai” (搭子), its general-purpose AI agent, and launched an enterprise version. The enterprise version includes a Skill access standard — a way for enterprise AI systems to expose capabilities that other agents can use.
The Skill standard is the more interesting part. It is Baidu’s attempt to define how agents and enterprise systems should talk to each other. The model is similar to function-calling interfaces in the LLM world — a way to declare what capabilities are available and how to invoke them.
For developers building agents, a standard from a major platform matters. If Baidu’s Skill standard gains adoption, agents that connect to Baidu’s ecosystem can use enterprise capabilities through a consistent interface.
The Pattern: Agent Infrastructure Competing
Baidu’s move is part of a pattern in 2026: Chinese tech companies are pushing into agent infrastructure as a competitive space.
The pattern includes Tencent’s agent products, Alibaba’s Qwen Office, and others. Each is building both the models and the agent infrastructure — the platforms on which AI agents are deployed and connected to enterprise systems.
The competition is not just about the models. It is about the surrounding infrastructure: the standards, the integrations, the platforms. Whoever defines the standard wins the agent ecosystem.
For developers, this is a landscape to watch. Multiple competing standards means you may have to choose which ecosystem to invest in. The right choice depends on which platforms your enterprise customers use.
What It Means for Developers
For developers building AI agents, the Skill standard is a tool to understand.
If your agents need to connect to enterprise systems — pulling data, triggering actions, integrating with business workflows — a standard interface helps. Rather than building custom integrations for each enterprise, a Skill standard allows for a consistent approach.
The honest take: standards are only as good as their adoption. If Baidu’s Skill standard gains traction, it is a real tool. If other platforms go their own way, developers end up maintaining multiple integrations.
The right approach is to wait and see which standards gain adoption, then build accordingly. Early commitment to a single standard is a bet on that platform’s ecosystem.
What to Watch
A few things will determine how significant Baidu’s move is.
Adoption. Skill standard is only useful if other platforms and developers build for it. Adoption over the next 6-12 months is the test.
Enterprise uptake. If Baidu’s enterprise customers use the Skill standard, that is a meaningful signal.
Competing standards. Other Chinese platforms are likely to define their own agent standards. The consolidation or competition among them is the bigger picture.
Bottom Line
Baidu’s Da Zai upgrade and Skill standard are a meaningful development in the Chinese agent ecosystem. The standard itself is worth understanding, though its long-term importance depends on adoption.
For developers, the practical takeaway is to watch which standards gain adoption, rather than committing early. For businesses, the takeaway is that agent infrastructure is becoming a competitive space, and the right platform choice matters.
The honest take: this is a development worth tracking, not one that requires immediate action. The Skill standard is a signal, and signals become meaningful only with adoption.