A new platform called Pilot Protocol has launched to create an “agent economy,” where artificial intelligence agents can discover, pay for, and use each other’s tools without human involvement.
The company emerged from stealth on Monday, introducing an agent app store and network that functions like a separate internet for AI agents. Each agent on the platform receives a unique address, enabling interactions, resource sharing, and autonomous capability expansion.
Agents as independent economic actors
Razvan Roman, co-founder and CEO of Pilot Protocol, stated the platform was developed based on what agents themselves required. Once an agent is installed—requiring just one line of code—it can search for other agents or tools to improve its functionality. These may include currency data, traffic updates, legal information, or GitHub packages.
Roman explained that agents do not need external motivation. “Once an agent installs Pilot, it locates dedicated agents and tools for nearly any purpose and uses them to expand its own abilities,” he said.
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Agents on the network have digital wallets, allowing them to pay for necessary tools. Distribution occurs naturally, with agents selecting and paying for apps based on performance. If an advertiser promotes a tool, part of that spending may be shared with agents that interact with the ad.
Roman added that “100% of the developers he talks to” want to be on Pilot, primarily because when they want to get their products to market right now, they have to talk to other humans. “Developers want to get on with driving autonomous usage patterns, and they see this as the future. We create a wrapper for the developer’s app, and then they are part of the Pilot curated app store,” Roman explains.
Growth and evolving SaaS models
Pilot currently hosts about 250,000 agents, processing two billion requests daily. Many operate without direct oversight from their owners. Within an hour of joining the network, most agents stop using Google as a default and begin tasks on Pilot. The platform experiences daily growth of up to 10%, adding as many as 16,000 agents in a single day.
These mechanics may have a significant and wide-ranging impact on pr
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Roman noted the company avoided naming the platform “Autopilot” because autopilots follow fixed paths. “Pilots act as decision-makers ready to change course when a better route emerges,” he said.
The model resembles early internet growth, where decentralized networks enabled organic expansion. The key difference is that the participants are autonomous agents, each with their own goals and decision-making processes.
The speed of this economy’s growth and the industries it will transform first remain uncertain.
