A simple AI agent CLI built in about 150 lines
A developer shared a short Go example for building an AI agent CLI. The idea is to connect small tools so the agent can do useful work from the command line. This can help teams learn the structure and avoid spending tokens on features they do not need.
Key points
- The example shows an AI agent CLI made with very little code.
- It reuses a Go microservices setup as tools for the agent.
- It is useful for learning how agents call tools step by step.
- A smaller custom setup can reduce extra calls and save tokens.
Quick term guide
- share
- A server folder made available to apps or other devices.
- AI agent CLI
- A command-line program where AI can use tools to complete tasks.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- command line
- A text-based screen where you type text to run programs instead of clicking buttons.
- tokens
- Tokens are small pieces of text that AI systems count when reading or writing.
- token
- A small piece of text used to measure AI input, output, and cost.
- microservices
- A way to build software as many small services instead of one large system.
- agents
- AI helpers that follow your instructions and make changes for you.