Trust Wallet Launches Agent Kit for AI Execution

Trust Wallet launches Agent Kit for on-chain execution

Trust Wallet confirmed the rollout through its official X, introducing the Trust Wallet Agent Kit as a developer toolkit for AI-driven transaction execution.

The official blog explains that the kit allows agents to perform swaps, transfers, DCA strategies, and limit orders across multiple chains. Developers can either deploy a dedicated agent-controlled wallet or connect directly to a user’s existing wallet through WalletConnect.

From read-only AI to full execution layer

Trust Wallet has been gradually expanding its AI capabilities.

Earlier tools focused on read-only functions such as price tracking, trend analysis, and token risk checks. Those features helped users make decisions but stopped short of acting on them.This release completes that gap.

AI agents can now move from observing markets to executing real transactions, turning wallets into active financial interfaces rather than passive storage.

Why this shift matters now

AI agents are no longer experimental. They are already handling payments, API calls, and automated workflows across multiple platforms.

The missing piece has been execution tied to real user funds without forcing custody compromises. Trust Wallet launches Agent Kit at a moment when that demand is growing fast.

With more than 220 million users already using the wallet, this creates immediate distribution for agent-based financial activity at scale.

How the Agent Kit operates

Developers access the system through the Trust Wallet developer portal and generate an API key. From there, two modes define how control is handled.

Agent Wallet mode gives the AI its own wallet with predefined rules. Users set limits, asset scope, and strategies, allowing the agent to operate autonomously within those boundaries.

WalletConnect mode keeps the user fully in control. The agent proposes actions, but every transaction requires manual approval. Private keys never leave the user’s device.

The system supports a wide range of functions out of the box, including cross-chain swaps, automated DCA, limit orders, portfolio tracking, and token risk analysis. It operates across more than 25 chains, covering EVM networks, Solana, Bitcoin, Cosmos, TON, and others without requiring separate integrations.

Where the risks begin to appear

Execution introduces a different level of risk compared to read-only AI. Even with guardrails, automated agents interacting with real funds increase the surface area for mistakes, misconfigurations, or unexpected behavior.

The design tries to limit this through permission settings and approval flows, but the responsibility still shifts toward the user and developer. There is also a behavioral risk.

Users may over-rely on automation without fully understanding how strategies perform under changing market conditions. At scale, poorly configured agents could amplify volatility rather than reduce it.