How to Build a Custom AI Agent With Your Own Tools and APIs (No Bloated Plugins)
The developer's guide to building powerful, modular web agents.
Core Insights
Modular tools prevent the 'bloated plugin' problem common in traditional AI platforms.
Support for OpenAPI and TypeScript function definitions.
Agents only have access to the specific tools they need for their goal.
Most AI platforms force you into rigid plugin ecosystems that are slow, insecure, and hard to customize. Maedo allows you to define custom tool signatures using standard OpenAPI or TypeScript definitions. This ensures your agents are lightweight and secure.
The Plugin Problem vs The Tool Solution
When you give an AI 50 plugins, it gets confused, stays slow, and creates a massive security surface area. In Maedo, you enable only the specific tools an agent needs to achieve its goal. If an agent is for support, it gets a 'Knowledge Base Lookup' tool. If it's for sales, it gets a 'CRM lookup' tool.
{
"name": "get_inventory_status",
"description": "Checks real-time stock levels for a given SKU",
"parameters": {
"type": "object",
"properties": {
"sku": { "type": "string" }
}
}
}Implementing Your First Custom Tool
To connect your backend API, you simply specify the endpoint and the JSON schema for the request. Maedo's reasoning loop handles the 'when' and 'how' of the call, allowing your agent to interact with your real-world data in real-time.
"Custom tools are the bridge between a talking AI and a doing AI."
— Maedo Technical Lead
