Most Developers Are Building AI Agents Wrong

说明与用途

开发者常常将 AI 代理限制在预定义工具中，导致需要手动扩展工具。Ailoy 通过为代理提供独立的 Linux VM，允许其自行安装软件并编写代码来解决此问题，示例展示了 CAD 设计。

问题

Developers often design AI agents with limited toolsets, requiring manual extension when new capabilities are needed.

结果

The agent successfully designed a gear bearing in one piece, demonstrating that VM‑based agents can autonomously write and test code for complex tasks.

工作流

• 1. Create a VM image with required software (e.g., CadQuery).
• 2. Build an agent with a console client pointing to the VM.
• 3. Attach system tools (shell, read, write, edit) and task‑specific skills.
• 4. Run the agent with a user prompt to perform the task.
• 5. Agent writes, executes, and tests code inside the VM, producing the final output.

证据

When an agent needs capabilities your tools don’t expose, you have to extend the toolset yourself.

来源

Ailoy is a library for building AI agents with their own computers.

来源

Each agent gets an isolated Linux VM, regardless of your host OS, where it can install packages, write code, and run tasks.

来源

The agent writes and tests the code needed to complete the task.

来源