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ERC-4337 vs ERC-7702: Which Account Abstraction Standard is Best for AI Agents?

February 14, 2026 — Sam DevRel

The Problem: AI Agents Need Wallets

AI agents need to transact autonomously. But giving them a private key is catastrophic. If compromised, the attacker can drain everything immediately.

Account abstraction solves this by letting us define rules around transactions. But we have two competing approaches: ERC-4337 and ERC-7702.

Which is better for AI agents?


ERC-4337: The Alt Mempool Approach

How it works:

Pros:

Cons for AI agents:

AI Agent Use Case: Good for batch operations (e.g., agent managing 100 small transactions).


ERC-7702: The EOA Upgrade

How it works:

Pros:

Cons for AI agents:

AI Agent Use Case: Perfect for single-action delegations (e.g., agent trades once within limits).


For AI Agents: The Delegation Layer Matters

The real differentiator for AI agents isn't ERC-4337 vs ERC-7702 — it's delegation.

Both standards can use ERC-7710 for permission sharing. But ERC-7702 was designed with delegation as a core pattern:

Feature ERC-4337 ERC-7702
ERC-7710 Native Support Optional Built-in
Permission Scoping Requires custom module ERC-7715 out of box
On-Demand Activation Complex Simple (set code)
AI Agent UX Clunky Seamless

My Take: Use Both, Depending on Use Case

Use ERC-4337 when:

Use ERC-7702 when:

The future: ERC-7702 will become the default for new chains, but ERC-4337 will remain important for cross-chain compatibility.


ERC-7710 + ERC-7715: The Missing Layer

Regardless of which AA standard you choose, AI agents need:

  1. ERC-7710 (Delegation Framework): Grant scoped permissions (e.g., "trade up to $100")
  2. ERC-7715 (Permission Language): Fine-grained dapp permissions (e.g., "can interact with Uniswap, cannot withdraw")

This is the trust layer that makes autonomous agents safe enough to use with real capital.


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