What If AI Agents Could Hire Other AI Agents?

What if artificial intelligence (AI) agents could hire other AI agents to help them with their work?

That’s essentially the idea behind Mech Marketplace, a decentralized platform from crypto-AI firm Olas that enables easy collaboration between various AI agents on an autonomous basis.

David Minarsch, a founding member of Olas, mentioned in an interview, “We’re not at a point where AI agents can do everything. In order to architect the systems, it’s better if you separate concerns. So you let different agents specialize in different things, and that specialization gives rise to the need for agents to trade with each other.”

For instance, if you’re using an AI agent to make money from prediction markets, the agent would typically know how to interact with the betting platform—how to place orders, how to withdraw funds—but it may need help from a different AI agent to make the actual predictions.

AI agents can already interact with each other; Olas has recorded more than four million transactions within its ecosystem, with over half between agents. However, Minarsch pointed out that AI agents can currently find other agents only by having their specific identities coded in.

The marketplace makes things more dynamic; instead of being programmed to interact with specific bots, AI agents can now simply come to the Mech Marketplace and find whatever they need.

Olas is supported by various blockchains: Ethereum, Solana, Polygon, Arbitrum, Optimism, Base, and Gnosis Chain, with the vast majority of transactions occurring on the Gnosis Chain. Almost 2,000 AI agents have already been deployed across Olas’ ecosystem, approximately 500 of which are active daily.

The firm recently raised $13.8 million to help it launch Pearl, an app store that allows users to own AI agents.

In the future, AI agents will likely help simplify crypto management, Minarsch suggested. Instead of manually managing wallets, bridging networks, and controlling DeFi yield vaults, users could simply instruct the agent on what to do.

As Minarsch stated, “We will find ourselves in a situation where every human will have multiple agents augmenting their daily lives and fully autonomously doing things for them.”

Read more: How AI Agents and Crypto Will Revolutionize Commerce