How I Built an Autonomous AI Agent That Earns USDC While I Sleep

说明与用途

一个使用LLM规划和执行任务的自治代理，通过x402协议支付工具调用费用，并在无人干预的情况下赚取USDC。

问题

Large language models can answer questions but lack autonomous execution and compensation mechanisms for unattended operation.

结果

The agent autonomously completes tasks, pays for tool usage via USDC micropayments, and logs results, achieving unattended operation and earning while running.

工作流

• 1. External service pushes JSON task to Task Queue (Redis/SQS).
• 2. Agent Core reads task, asks LLM for a JSON plan of tool calls.
• 3. Tool Executor iterates over plan steps, each HTTP request intercepted by Payment Guard.
• 4. Payment Guard parses x402 header, transfers required USDC to payee, then forwards request.
• 5. Results are stored in Result Store (Postgres/IPFS).
• 6. Agent checks for FINISH token or step limit to terminate loop.

证据

Combining those pieces gave me a scaffolding for an agent that can earn while it works.

来源

The loop repeats until the LLM signals “task complete” (by returning a special FINISH token) or a step limit is hit.

来源