Trust Wallet has launched AI agents that automate trading across more than 25 blockchain networks, enabling autonomous execution of real trades based on user-defined rules.

Key capabilities include multi-chain execution, automated cross-crypto swaps (for example, BTC to SOL), recurring buys, rule-based trading, and real-time execution.

An upcoming Agent Marketplace will let developers publish reusable agent strategies and trading bots, which users can deploy directly from their wallets later this year.

Security and user protection are central, with permission controls and risk mitigation designed to address automation risks and maintain transparency.

Disclaimer notes independent editorial stance and financial disclosures by The Block, but it is not part of Trust Wallet’s announcement.

The solution emphasizes self-custody, with users retaining control of keys and assets even as AI assists trading.

Context mentions a Bitcoin Policy Institute study suggesting frontier AI models favor digitally-native money like Bitcoin as a store of value in AI-enabled scenarios, contrasting with stablecoins and fiat.

FAQ outlines how this differs from traditional bots: wallet-integrated, multi-chain, with security controls, cross-chain swaps, congestion handling and potential premium features while standard network fees apply.

Wallet security remains central, with operations designed to run in WalletConnect mode so AI can research, propose, and execute actions without ever holding users’ keys.

The initiative aims to democratize access to automated trading, addressing accessibility barriers for non-technical users and tapping rising DeFi automation demand.

Market context shows competition from MetaMask and Phantom, with Trust Wallet’s AI automation representing a distinctive direction to improve retention and attract new users amid growing demand for automated trading.

Agents operate under user-defined permissions and integrate with the Model Context Protocol to enable safe, wallet-connected actions via a developer CLI.