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ReadMetaMask has launched Agent Wallet, a self-custodial wallet designed to let AI agents execute on-chain crypto trades within limits set by users. The move extends MetaMask’s push into AI-powered trading tools while keeping user controls at the center of the product.
MetaMask has launched Agent Wallet, a self-custodial wallet designed to let AI agents execute on-chain crypto trades within limits set by users. The move extends MetaMask’s push into AI-powered trading tools while keeping user controls at the center of the product.
The development matters because it brings autonomous trading tools closer to everyday wallet infrastructure, while still framing control around parameters set by the user. For crypto users, that distinction is important: the wallet is described as self-custodial, meaning the product is built around users retaining control rather than handing assets to a centralized trading service.
MetaMask has launched Agent Wallet, a self-custodial AI wallet that allows AI agents to carry out on-chain crypto trades within user-defined limits. The product is positioned as part of MetaMask’s broader expansion into AI-powered crypto trading.
The development matters because it brings autonomous trading tools closer to everyday wallet infrastructure, while still framing control around parameters set by the user. For crypto users, that distinction is important: the wallet is described as self-custodial, meaning the product is built around users retaining control rather than handing assets to a centralized trading service.
Agent Wallet also reflects a wider shift in crypto product design, where wallets are moving beyond simple storage and transaction signing. By giving AI agents a role in executing trades on-chain, MetaMask is leaning into a model where wallet software can become more active, automated, and programmable.
The launch comes as AI-driven tools increasingly intersect with crypto trading and blockchain applications. MetaMask’s approach, based on the supplied details, focuses on autonomy within user-defined boundaries rather than unrestricted automated activity.
As with any automated trading feature, the key questions for users will be how limits are configured, how actions are monitored, and how much discretion the AI agent is allowed to exercise. The source material does not specify further product mechanics, supported networks, or rollout timing.