Developer Builds Autonomous AI Agent That Accepts Crypto Payments on Base L2

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A software developer has published a detailed walkthrough on DEV Community describing how they built an autonomous AI agent capable of completing micro-tasks and receiving USDC payments via the x402 payment standard on the Base Layer 2 blockchain. The system runs on a modest cloud virtual machine with 2 vCPUs and 8 GiB of RAM, using an LLM as a planner that decomposes goals into steps and selects tools to execute them. It is structured into four layers — a planner, an executor, a payment handler, and a scheduler — all communicating within a single long-lived Python service built with libraries like transformers, web3.py, and FastAPI. The agent idles in a low-power wait state between tasks, only activating the LLM when a new task and payment are detected. The author frames the project not as a breakthrough but as a practical engineering reference, sharing code and performance trade-offs for developers building similar on-chain AI agent systems.

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