Story Announces New Standard for Transactions Between AI Agents

IP blockchain platform Story announced today the unveiling of the Agent Transact Control Protocol for Intelligence Property (ATCP/IP), a protocol for transactions between AI agents.

AI agents are intelligent systems that autonomously perform tasks, make decisions, and achieve goals through data processing and learning. For agents, IP is not merely an asset or property right but the DNA that constitutes their essential identity. Every dataset AI agents train on and every output they generate are essentially IP assets with economic implications, creating new forms of economies.

Previously, agents were isolated with limited interaction due to the lack of a standard protocol for interaction. Just as the internet connected people through TCP/IP, ATCP/IP connects AI agents, providing a foundation for free transactions and collaboration. Through this protocol, agents can efficiently exchange, negotiate, and contract IP without intermediaries, enabling true interaction and economic activity between agents.

For example, an agent with a machine learning model can engage in data transactions by providing it to an autonomous vehicle development agent. This creates benefits for both parties and contributes to forming an IP economy among agents.

Story has released a white paper in collaboration with ai16z, Zerebro, and Virtual Protocol, presenting a new comprehensive framework to enhance AI agents' capabilities. Currently, the AI agent-centric economy is a key focus in the crypto space, with agents created based on ai16z's Eliza framework and Virtual Protocol already numbering in the hundreds and thousands, with the market capitalization of these projects surpassing $1 billion within two months of launch.

ATCP/IP is available as a plugin and module, supporting integration with various agent frameworks. Developers can design and deploy agents using existing infrastructure without additional work. Notably, ATCP/IP simplifies contract negotiation, token issuance, and on-chain verification, enabling developers with limited technical knowledge to easily participate in the agent ecosystem.

Jason Zhao, co-founder of PIP Labs and co-author of ATCP/IP, stated, "We aim to fully unlock the potential of AI agents by providing a platform where agents can safely and autonomously trade IP, creating a new form of agent internet."

He added, "Every dataset AI agents train on and every output they generate are essentially IP assets with economic value. By creating an open standard where AI can autonomously collaborate, innovate, and create value, we are laying the foundation for a new knowledge economy without intermediaries, enabling direct and trustless agent interactions."

Meanwhile, Story completed the development of a plugin to support ElizaOS, a framework for AI agents, on the 15th. Integration with various frameworks such as GOAT and ZerePy is also planned.