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Binance has launched Agent OS, a platform that allows AI agents to access market data, monitor account balances and execute cryptocurrency trades. Users can set which operations agents are allowed to perform, along with limits and the amount of funds they can access.
The platform supports AI tools including ChatGPT, Claude Code, Codex and Cursor. In addition to trading, agents can make payments and interact with wallets and other Binance onchain services.
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Account holders can give an agent access to account information and authorize it to execute trades within predefined limits. Access can be revoked at any time.
For additional separation of funds, Binance allows users to assign a dedicated subaccount to an AI agent. This makes it possible to isolate the agent’s trading activity and available capital from the user’s main account.
Binance can monitor trades executed through Agent OS but will not be able to see the external information sources used by an agent or the logic behind its decisions. These processes take place within the AI application selected by the user.
Agent OS also provides access to the exchange’s payment and onchain infrastructure. This allows agents not only to trade but also to independently pay for services and interact with blockchain applications.
Binance is not the first major platform to open its trading infrastructure to AI.
In June, Coinbase introduced Coinbase for Agents, allowing models such as ChatGPT and Claude to connect to user accounts and autonomously execute trading strategies. The service also supports automated payments through the x402 protocol.
Kraken has taken a more limited approach. Its AI assistant, introduced in July, analyzes markets and suggests trades based on users’ goals and risk tolerance, but requires human approval before execution.
The development of such services could create a major new use case for blockchain technology. Franklin Templeton’s head of digital assets and industry advisory services, Sandy Kaul, believes the AI agent economy will increase demand for networks capable of processing large volumes of small payments between software applications.
The Trump administration has also faced growing pressure over AI oversight following incidents in which autonomous agents gained unauthorized access to corporate systems. The cases have intensified debate over security requirements for AI systems capable of independently taking actions through external services.