Getting Started with Fleek AI Agent Hosting and the Eliza Framework

Natalia Dulapchi
2 min readJan 25, 2025

In this guide, we’ll walk you through how to deploy and scale AI agents using Fleek’s innovative hosting platform, powered by the Eliza Framework. With seamless deployment, robust security, and scalable infrastructure, you’ll be able to launch AI-driven applications with ease. Let’s dive in.

What You’ll Learn

  • An introduction to the Eliza Framework and Fleek Machines.
  • How to deploy an AI agent in Fleek’s environment.
  • Best practices for leveraging Trusted Execution Environments (TEEs).

Understanding the Eliza Framework

The Eliza Framework, developed by a16z, is a toolset that simplifies the creation and deployment of autonomous AI agents. It allows agents to interact and operate autonomously while maintaining secure communication protocols. Paired with Fleek Machines, the framework becomes a powerful foundation for privacy-first AI deployment.

Key Features:

  1. Agent Configuration: Flexible JSON-based configurations make setup fast and intuitive.
  2. Secure Execution: All operations run within TEEs, ensuring data privacy.
  3. Seamless Integration: Easily connects with other decentralized applications and tools.

Step-by-Step Deployment Guide

1. Set Up Your Fleek Account

  1. Go to fleek.xyz and create an account.
  2. Navigate to the AI Agent Hosting dashboard.

2. Configure Your AI Agent

  • Use a JSON configuration file to define your agent’s behavior, logic, and parameters.

Example JSON Configuration:

{
"agent_name": "CustomerSupportAI",
"behavior_model": "gpt-4",
"permissions": {
"data_access": "read-only",
"api_integration": ["CRM", "KnowledgeBase"]
},
"scaling": {
"min_instances": 1,
"max_instances": 10
}
}

3. Upload and Deploy

  1. Upload the JSON file through the dashboard.
  2. Select your hosting environment and preferred scaling parameters.
  3. Click “Deploy” — your agent will be live within seconds.

4. Monitor and Manage

  • Use the Fleek dashboard to:
  • Track performance metrics.
  • Adjust scaling limits.
  • Update configurations as needed.

Leveraging Trusted Execution Environments (TEEs)

Fleek Machines utilize TEEs to guarantee that all operations are:

  1. Encrypted: Data remains secure during execution.
  2. Isolated: Preventing unauthorized access or interference.
  3. Verifiable: Ensuring operations comply with expected behavior.

Best Practices

  1. Optimize JSON Configurations:
  • Clearly define permissions to minimize unnecessary access.
  • Use descriptive agent names for easy identification.

2. Plan for Scalability:

  • Set realistic scaling parameters based on expected traffic.
  • Monitor usage patterns to optimize resource allocation.

3. Regularly Update Agents:

  • Keep your behavior models and integrations up to date.
  • Leverage Fleek’s version control for safe updates.

Real-World Applications

Customer Support Automation

Deploy AI agents that can handle customer inquiries, integrate with CRM systems, and provide instant support.

Data Analysis Tools

Run AI agents to process sensitive data securely and generate actionable insights.

Autonomous Assistants

Create personalized assistants that interact securely with user data and applications.

Fleek’s AI Agent Hosting, powered by the Eliza Framework, offers an unparalleled combination of ease, security, and scalability. Whether you’re deploying a single AI agent or scaling a complex AI ecosystem, Fleek provides the tools you need to succeed.

Start building your next AI-driven application today: fleek.xyz/guides/eliza-guide.

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