Yomo — AI skill for Claude Code

YoMo [](https://codecov.io/gh/yomorun/yomo)

YoMo is an open-source LLM Function Calling Framework for building scalable and ultra-fast AI Agents. 💚 We care about: **Empowering Exceptional Customer Experiences in the Age of AI**

We believe that seamless and responsive AI interactions are key to delivering outstanding customer experiences. YoMo is built with this principle at its core, focusing on speed, reliability, and scalability.

🌶 Features

	Features
⚡️	Serverless LLM Tools	Deploy and Manage LLM Tools / Skills seamlessly.
🔐	Enhanced Security	TLS v1.3 encryption is applied to every data packet by design, ensuring robust security for your AI agent communications.
📸	Effortless Agents DevOps	Streamline the entire lifecycle of your LLM tools, from development to deployment. Significantly reduces operational overhead, allowing you to focus exclusively on creating innovative AI agent functionalities.
🌎	Geo-Distributed Architecture	Bring AI inference and tools closer to your users with our globally distributed architecture, resulting in significantly faster response times and a superior user experience for your AI agents.

🚀 Getting Started

Let's build a simple AI agent with LLM Function Calling to provide weather information:

Step 1. Install CLI

curl -fsSL https://get.yomo.run | sh

Verify the installation:

yomo --version

Step 2. Start the server

Use Ollama as the LLM provider:

ollama pull ornith

Launch the server:

yomo serve

You can also use the `--config` flag to specify a custom coniguration yaml file.

Step 3. Implement the LLM Function Calling

yomo init

Finished, now, let's run it:

yomo run