MOOF
  • Introduction
    • MOOF: Build Your Agentic AI Universe - powered by MCP, A2A, and TEE
    • Official Links
  • About MOOF (Video)
  • About MOOF
    • Problem Statement
    • Solution: The MOOF System
  • MOOF Features
  • MOOF Playground (A2A, MCP and TEE supported)
  • MOOF TEE MCP Hosting
  • MOOF Marketplace
  • MOOF Multi-agent Development Kit (MMDK)
  • MOOF Evolution Engine
  • MOOF Memory Network
  • MOOF Knowledge Graph
  • MOOF Governance Hub
  • MOOF Launchpad
  • How to use MOOF
    • Create Basic AI Agents
  • Create Google A2A-compatible AI Agents with MOOF
  • Public Cloud MCP Hosting
  • Private Cloud TEE MCP Hosting (backed by Phala)
  • MOOF Marketplace
  • MMDK
  • $MOOF token
    • $MOOF Tokenomy
    • MOOF Acceleration Program
  • Roadmap
    • Keep MOOFing!
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  • Prerequisites
  • Build from Scratch
  1. How to use MOOF

Create Basic AI Agents

PreviousMOOF LaunchpadNextCreate Google A2A-compatible AI Agents with MOOF

Last updated 7 days ago

Prerequisites

  • Ensure that you are logged in to the MOOF application via before proceeding.

  • For optimal performance, we recommend using modern web browsers based on Chromium (e.g., Google Chrome) or Mozilla Firefox.

Build from Scratch

Step 1: Create a New Folder

This folder will serve as the storage location for all project files associated with this course.

Step 2: Create Your Own Flow

Begin by designing a new custom assistant by creating your own flow. This will serve as the foundation for your AI Agent's behavior and responses.

Step 3: Choose a Template to Get Started

MOOF offers three sample templates to help you begin the journey. For a basic introduction, we recommend starting with the Simple Agent template. Once you become more familiar with the platform, you may opt to build from scratch using the Blank Flow.

Step 4: Customize Your AI Agent

The Simple Agent template includes a set of foundational modules to help you get started:

  • Agent: The core Large Language Model (LLM) responsible for receiving user input, reasoning, and generating appropriate responses.

  • User Input: The interface module through which users provide commands or queries.

  • User Output: The interface module responsible for displaying the agent’s responses to the user.

  • Calculator: A basic utility module that can be added to extend the agent’s functionality. While primarily used for demonstration purposes, note that the LLM itself is capable of handling basic arithmetic operations without this tool.

Note: Select an LLM model that best aligns with the objectives of your AI agent. At this stage, users have free access to available MOOFAI_API_KEY for experimentation and development.

Step 5: Demo!

Click on the Playground to begin interacting with your AI agent.

Your AI agent is now ready to use - start by assigning it a task of your choice.

From here, the final part of the journey is yours to explore!

https://app.moof.fun/login