Hosting Agents

Autonome by AltLayer provides a managed platform specifically designed for hosting crypto AI agents. It offers:

• Simple deployment process
• Built-in monitoring and management
• Team collaboration features
• Support for multiple agent frameworks including AgentKit

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Quick Setup

1. Visit apps.autono.meme
2. Log in and create an organization
3. Click ”+” to deploy a new agent
4. Select “AgentKit” as your framework
5. Enter required API keys (OpenAI, CDP, etc.)
6. Deploy your agent

For detailed instructions, see the Autonome deployment guide.

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Custom Framework Upload

If you have a custom AgentKit implementation, you can upload it as a new framework:

1. Package your agent as a Docker image
2. Click “Upload New Framework” in Autonome
3. Configure the framework details including:
   • Framework name
   • Description
   • Docker image URL
   • Chat endpoint and port
   • Environment variables

See the framework upload guide for complete details.

NEAR AI provides a platform for building and hosting AI agents with built-in support for various frameworks including AgentKit.

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Requirements

• Python 3.9 - 3.11 (3.12 - 3.13 is not supported)
• NEAR Account (can be created at wallet.near.org)
• Virtual environment (recommended)

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Quick Setup

1. Create and activate a Python virtual environment:

# Using venv
python -m venv .venv
source .venv/activate

# Or using conda
conda create -n nearai python=3.11
conda activate nearai

2. Install the NEAR AI CLI:

pip install nearai

3. Login to NEAR AI:

nearai login

4. Create a new agent:

nearai agent create

5. Configure your agent’s framework in metadata.json:

{
  "details": {
    "agent": {
      "framework": "agentkit"
    }
  }
}

For detailed setup instructions, see:

• NEAR AI CLI Guide
• NEAR AI Quickstart Guide
• Framework Support Documentation

You can host your AgentKit agent on any major cloud platform. Here’s a general approach:

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AWS Setup

1. Create an ECS cluster or EKS cluster
2. Build and push your agent’s Docker image to ECR
3. Deploy using ECS tasks or Kubernetes deployments

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Google Cloud Setup

1. Create a GKE cluster or Cloud Run service
2. Push your Docker image to Container Registry
3. Deploy using Cloud Run or Kubernetes