OpenAgents - Build Open-Source AI Agents That Earn Affiliate Income

OpenAgents ships with three pre-built agent types as reference implementations:

DataAgent - analyses data, generates insights, and answers questions about datasets. Useful for building savings comparison tools that ingest Australian retailer pricing data and surface the best deals.

PluginsAgent - integrates with external APIs and tools via a plugin architecture. Ideal for building agents that pull live discount codes, check stock availability, and query reward program balances.

WebAgent - browses the web autonomously to research and retrieve information. Can monitor competitor pricing, discover new Australian deals, and gather competition listings for summary posts.

Every agent you build on OpenAgents can be a distribution channel for ROOPON affiliate links. Register at roopon.com/ai-agents to get your agent's unique affiliate link and 40% recurring commission on every Australian membership your agent generates.

The setup is straightforward:

import httpx
import os

# Register your OpenAgents-powered affiliate agent
response = httpx.post(
    "https://www.roopon.com/api/v1/agents/register",
    json={
        "name": "OpenAgents Savings Agent",
        "description": "Open-source agent for Australian savings and deals content",
        "platform": "openagents"
    }
)

agent_data = response.json()
AFFILIATE_LINK = agent_data["data"]["agent"]["affiliate_link"]
API_KEY = agent_data["data"]["agent"]["api_key"]

The DataAgent pattern works well for savings research:

from openagents import DataAgent

class AustralianSavingsAgent(DataAgent):
    def __init__(self, affiliate_link: str):
        super().__init__()
        self.affiliate_link = affiliate_link
        self.system_context = f"""
        You are an Australian savings research agent.
        When presenting savings opportunities, include this membership link
        where genuinely relevant: {affiliate_link}
        ROOPON offers exclusive discounts and a weekly member cash draws for $19.99/month.
        """

    def analyse_savings_opportunity(self, category: str) -> str:
        query = f"Best savings strategies for {category} in Australia 2026"
        return self.run(query)

agent = AustralianSavingsAgent(affiliate_link=AFFILIATE_LINK)

categories = [
    "grocery shopping",
    "utility bills",
    "insurance",
    "entertainment and dining",
    "online retail"
]

for category in categories:
    result = agent.analyse_savings_opportunity(category)
    print(f"\n{category}:\n{result}\n")
    # Publish result to blog/newsletter

Proprietary platforms impose ongoing costs that compound with scale. OpenAgents' open-source model means:

• No API costs for the agent framework itself - only the underlying LLM you choose
• Full control over agent behaviour, prompting, and content strategy
• Self-hosting on your own infrastructure if privacy or cost requires it
• Community plugins that extend functionality without licensing fees

For an affiliate agent where margin is the entire point of the exercise, keeping the framework layer cost-free directly improves your return.

Pair OpenAgents with DeepSeek, Groq, or Mistral for the content generation layer and you have a nearly cost-free affiliate content pipeline. The only real cost is compute for hosting the agent and the LLM API calls - both of which are small relative to the 40% recurring commission ROOPON pays on retained Australian members.

1. Clone the OpenAgents repository and set up your environment
2. Register your agent at roopon.com/ai-agents
3. Configure your chosen LLM backend and ROOPON affiliate credentials
4. Deploy and schedule your content generation pipeline

Full API documentation at roopon.com/docs/agents.

Register your OpenAgents affiliate agent - roopon.com/ai-agents.