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AgentBay:Service support

Last Updated:Jun 02, 2026

Frequently asked questions about AgentBay, including product overview, integration, privacy, and capabilities.

FAQ

Q1: What is AgentBay? Is it a virtual machine?

AgentBay is more than a virtual machine. It is a cloud infrastructure platform purpose-built for AI Agents.

  • Positioning: AI Agent cloud infrastructure by Alibaba Cloud, serving enterprises, developers, and AI vendors.

  • Core features:

    • Standard runtime: Pre-integrated tools for Agent task execution, encapsulated as MCP services for rapid enterprise integration.

    • User state persistence: A proprietary architecture saves user profiles, cookies, and other data in isolation, then dynamically mounts it so the cloud environment mirrors the local one.

    • Real-time client-cloud interaction: The proprietary Alibaba Cloud Adaptive Streaming Protocol (ASP) streams the cloud display to the local device in real time. Both the user and the AI can take turns controlling the cloud environment. ASP also supports network and peripheral redirection, allowing the cloud to sense and control local devices.

  • Technical architecture:

    • Proprietary persistent file system that dynamically retains user states and files on demand.

    • Proprietary ASP protocol for real-time client-cloud communication, enabling the cloud to sense and control the local environment.

    • Built on globally deployed Alibaba Cloud Workspace resource pools for low-latency access.

    • Serverless session scheduling — allocate an environment with a single click.

    • Integrated MCP toolsets: Browser, File, and Terminal.

    • Integration via SDK/API or MCP Server — both fully supported and compatible.

Q2: How can AI Agent products on the market connect to AgentBay?

AI Agent products connect to AgentBay through the following flow and methods:

  1. Basic connection flow:

    1. Request an API key.

    2. Create a custom image and configure the resource pool definition.

    3. (Optional) Configure the MCP service.

    4. (Optional) Integrate the Alibaba Cloud Workspace web SDK.

    5. Initiate a tool use request (session scheduling) from the client or server.

  2. Connection types:

    • Alibaba Cloud Workspace server-side SDK and API.

    • MCP Server.

  3. Access methods:

    • Stream the cloud environment through an embedded WebView in the client.

    • Redirect to a browser.

    • Access URL format: https://wuying.aliyun.com?mcp.html?authcode=<authCode>&resourceId=<resourceId>

      Note

      When you initiate a tool call, the MCP Server returns this URL.

Q3: AgentBay supports the MCP protocol. What is its relationship with MCP Servers on the market?

AgentBay relates to MCP Servers in three ways:

  • Protocol support:

    • Fully supports the MCP protocol.

    • Provides standardized MCP interfaces compatible with the existing ecosystem.

  • Tool integration:

    AgentBay provides mainstream MCP toolsets, including but not limited to:

    • Browser: Browser automation.

    • File: File system operations.

    • Terminal: Command-line operations.

  • Ecosystem engagement:

    • Seamless integration with existing MCP Server ecosystems.

    • Feature extensions for existing MCP Servers.

    • Unified interface standards for easy management and integration.

Q4: When using an AI Agent, I do not want to leak my personal data. How does AgentBay protect my private data?

AgentBay protects user privacy through multiple layers:

  • Isolation mechanism:

    • Each user gets a completely isolated virtual machine environment.

    • The environment resets after each session ends — no data is retained.

  • Access control:

    • API key-based identity authentication.

    • Secure access control mechanisms.

  • Data processing:

    • Local data is not uploaded to the cloud, and cloud data is not retained, unless you explicitly grant authorization and make a request.

    • Secure channel for data transmission.

    • Encrypted data storage.

Q5: Can AgentBay offload Agent tasks from my local machine?

Yes. AgentBay runs Agent tasks in the cloud:

  • Cloud execution:

    • Tasks run in Alibaba Cloud resource pools — no local resources consumed.

    • Serverless on-demand resource allocation.

    • Auto-scaling based on task requirements.

  • Resource optimization:

    • Cloud-based distributed computing architecture.

    • Parallel task processing.

    • Automatic resource scaling.

  • Performance guarantee:

    • Professional cloud computing resource pools.

    • Efficient task execution in the cloud.

    • Local devices handle only basic interactive operations.

Q6: What Desktop Auto capabilities does AgentBay offer? Can I use custom images?

AgentBay provides the following Desktop Auto capabilities:

  • Basic automation capabilities:

    • Browser: Full browser automation.

    • File: File system automation.

    • Terminal: Command-line automation.

    • Python: Secure code execution within the environment.

  • Advanced automation capabilities:

    • GUI Agent: Understands real-time screen content and executes interactive instructions.

    • Custom knowledge space: Supports automatic accumulation of user knowledge and custom saving of user states.

    • Custom application interface development.

  • Image support:

    • Built-in Linux base image.

    • Custom images based on the base image are supported.

Third-party open-source software checklist

Open-source component

License agreement

Code modified

URL

Modified code

mcp server

MIT License

No

https://github.com/modelcontextprotocol/servers

None

mcp typescript sdk

MIT License

No

https://github.com/modelcontextprotocol/typescript-sdk

None

axios

MIT License

No

https://github.com/axios/axios

None

playwright

MIT License

No

https://github.com/executeautomation/mcp-playwright?tab=MIT-1-ov-file

None

filesystem

MIT License

No

https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem

None

iterm

MIT License

No

https://github.com/ferrislucas/iterm-mcp

None

zod-to-json-schema

ISC License

No

https://github.com/StefanTerdell/zod-to-json-schema

None

commander.js

MIT License

No

https://github.com/tj/commander.js

None

dayjs

MIT License

No

https://github.com/iamkun/dayjs

None

zod

MIT License

No

https://github.com/colinhacks/zod

None