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AI Agent OS

Relayers in the Agent OS Execution Path

Understand the relayer’s role in submitting authorized agent actions without becoming the owner of the agent’s funds.

In this guide

Practical outcomes

  • Separate relayer and owner
  • Validate meta-transactions
  • Monitor submission health

How this works in practice

Understand the relayer’s role in submitting authorized agent actions without becoming the owner of the agent’s funds.

A controlled agent separates the controller from the runtime. The controller owns the agent identity and defines policy, while a smart wallet, permission rules, quotas, relayer and scheduler constrain what the runtime can actually execute.

Implementation sequence

Turn the topic into a controlled implementation rather than a one-off transaction. Each step below should leave evidence a teammate, user or auditor can independently review.

  1. 01. Separate relayer and owner. Define the expected result, capture the relevant onchain or operational evidence, and stop for review if the result differs from the plan.
  2. 02. Validate meta-transactions. Define the expected result, capture the relevant onchain or operational evidence, and stop for review if the result differs from the plan.
  3. 03. Monitor submission health. Define the expected result, capture the relevant onchain or operational evidence, and stop for review if the result differs from the plan.

Evidence to retain

Record the .rama identity, controller, wallet, policy version, approval event, task identifier and resulting transaction hash. This makes a decision traceable without giving the agent unrestricted custody.

Control point

Start with small allocations, explicit recipient and contract allowlists, bounded session keys and a tested pause path. An automated workflow must never be the only place where authority or recovery knowledge exists.

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Related guides

What Is Ramestta AI Agent OS?

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Onchain AI Agents: A Practical Architecture

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Use readable .rama names to make agent ownership, discovery and wallet relationships understandable across the ecosystem.