
Trust Wallet launches Agent Kit, enabling AI agents to execute swaps, transfers, & strategies across 25+ chains while preserving self-custody
Author: Akshat Thakur
Steady attention without excessive speculation.
March 27, 2026- Trust Wallet launches Agent Kit, giving AI agents the ability to execute real crypto transactions across more than 25 blockchains while maintaining full self-custody. The release moves AI in crypto from analysis to execution, but it also raises questions around control, security boundaries, and how much autonomy users are willing to hand over.
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Daniel Kirste
@danielkirste_
@TrustWallet What about spending limits? Agents not only need wallets, but they also need governance!
Last week, AI got eyes on crypto. Today, it gets hands 🤖👐 Trust Wallet Agent Kit is live ↓🧵 https://t.co/dppEJonniq https://t.co/x8oBGncrju
07:50 AM·Mar 27, 2026
Orin
@OrinBase
@TrustWallet this is where agent utility starts
Last week, AI got eyes on crypto. Today, it gets hands 🤖👐 Trust Wallet Agent Kit is live ↓🧵 https://t.co/dppEJonniq https://t.co/x8oBGncrju
02:18 PM·Mar 26, 2026
Falcon
@FalconyFalcon
@TrustWallet Now you can blame the AI for your shitty trades instead of yourself
Last week, AI got eyes on crypto. Today, it gets hands 🤖👐 Trust Wallet Agent Kit is live ↓🧵 https://t.co/dppEJonniq https://t.co/x8oBGncrju
01:44 PM·Mar 26, 2026
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.
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.
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.
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.
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.
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