The post Trust Wallet starts building the agent layer for self-custody appeared on BitcoinEthereumNews.com. AI agents are beginning to trade, stake, and move fundsThe post Trust Wallet starts building the agent layer for self-custody appeared on BitcoinEthereumNews.com. AI agents are beginning to trade, stake, and move funds

Trust Wallet starts building the agent layer for self-custody

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AI agents are beginning to trade, stake, and move funds autonomously. Have you ever wondered which wallet they’d use to sign transactions?

Trust Wallet is making a strong case to be that wallet. One of the most widely used self-custody platforms in crypto is now pushing further into AI with the launch of the Trust Wallet Agent Kit, a developer toolkit that lets AI agents carry out wallet-connected crypto actions within permissions defined by the user.

The release follows the launch of Trust Wallet’s developer portal last week, which gave AI agents read-only access to crypto data across more than 100 chains and set the stage for more interactive agent workflows.

The move targets two groups at once: the developers building AI-powered crypto applications and the millions of users who may soon rely on AI agents to manage on-chain activity.

AI tools for developers

The first pieces of this strategy arrived at the end of February, when Trust Wallet released a set of AI-focused developer tools.

One of them is Claude Code Skills, an open-source skills marketplace on GitHub that extends Anthropic’s Claude coding assistant with native knowledge of Trust Wallet’s architecture and APIs. Instead of developers constantly feeding documentation into AI assistants, the system already understands how Trust Wallet works.

Five specialized skill modules are available at launch. These cover wallet creation and transaction signing across more than 100 blockchains, integration with Web3 providers such as Ethereum, Solana, Cosmos, and Bitcoin, token metadata management, Trust Wallet’s smart contract wallet (Barz), and developer utilities like deep links and WalletConnect integrations.

Alongside this, Trust Wallet introduced an MCP server, which connects its entire developer documentation library directly to AI coding tools such as Claude, Cursor, and VS Code. The goal is to make building AI-powered applications around wallets easier and faster.

That push is now expanding beyond documentation and coding support. With the launch of the Trust Wallet Agent Kit, the company is giving developers an AI-powered toolkit for wallet-connected actions, including built-in DeFi features such as swaps, automations, and alerts.

Trust Wallet AI: X

Giving AI agents their own wallets

The Trust Wallet Agent Kit gives developers two ways to connect AI to crypto activity. 

One model uses a dedicated wallet built for AI agent activity, where users can set permissions and boundaries in advance for automations such as DCA, alerts, and limit-based strategies.

That agent can then send transactions, trade tokens, or interact with DeFi protocols programmatically within the rules defined by the user. The setup works similarly to giving an employee a company payment card with a spending limit. The AI agent can operate independently, but its permissions and funds remain controlled by the developer or user.

The kit is advertised as multi-chain, covering major ecosystems such as EVM networks, Solana, Bitcoin, TON, Cosmos, Tron, NEAR, Aptos, and Sui.

AI working inside existing wallets

The second model is aimed at users who want AI assistance without handing over direct control. 

Instead of creating a separate wallet for agent activity, an AI agent can connect to an existing Trust Wallet through WalletConnect, propose transactions, and leave the final approval to the user.

This approach keeps custody with the user throughout while still allowing more interactive AI-driven workflows. It also addresses one of the biggest friction points in AI-powered crypto products, where users are often asked to move funds into a new system before automation can begin.

DeFi automation without moving funds

One of the potential applications is automated portfolio management.

Users could set rules once, such as compounding staking rewards or rebalancing between assets, and allow an AI agent to handle the execution. Instead of manually signing dozens of transactions, the AI would carry out those tasks within predefined limits.

The wallet effectively becomes a signing hub where humans define rules and agents execute them.

This model could also extend to broader Web3 interactions. AI agents might manage liquidity positions, execute trades based on predefined signals, or handle routine transactions across multiple chains.

The next phase of crypto wallets

Trust Wallet’s AI push isn’t surprising given the current direction of crypto, where wallets are becoming more than just key storage tools. They increasingly act as gateways to DeFi, cross-chain ecosystems, staking systems, and on-chain identity.

Adding AI layers could turn them into something closer to financial operating systems, where users define goals and automated agents handle the execution.

Trust Wallet is also pointing to an Agent Marketplace expected in about two months, where developers will be able to publish reusable agent strategies and bots for users to discover inside the wallet. It is still an early roadmap item, but it shows where the company wants this AI-wallet model to go next.

With its large installed user base and multi-chain support, Trust Wallet is now testing whether the next generation of wallets will include an AI assistant working alongside the user.

The post Trust Wallet starts building the agent layer for self-custody appeared first on BeInCrypto.

Source: https://beincrypto.com/trust-wallet-agent-kit-ai-crypto/

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