> For the complete documentation index, see [llms.txt](https://quackai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://quackai.gitbook.io/docs/agent-infrastructure-and-economy/overview.md).

# Overview

The Agent Infrastructure Layer is the foundation of the AI Economy.\
It defines how autonomous agents operate, collaborate, and earn within the Quack Stack.

Agents serve as the active participants who connect intelligence, liquidity, and compliance into one operational network.\
They analyze governance data, verify policy compliance, sponsor transactions, and maintain network reliability.\
In return, they earn execution yield, reputation scores, and market participation rights within the AgentFi economy.

This layer transforms blockchain from a passive transaction ledger into a living coordination network where every action, rule, and outcome is mediated by intelligent agents.

### What Agents Do in the Quack Stack

Agents are programmable, autonomous entities operating within the Quack AI ecosystem.\
They perform a wide range of tasks that bridge decision logic, financial execution, and real-world compliance.\
Each agent is designed to operate as a self-contained operational node with its own configuration, wallet, and role set.

#### Agent Functions Across Layers

| Layer                   | Agent Role        | Description                                                                 |
| ----------------------- | ----------------- | --------------------------------------------------------------------------- |
| Governance Intelligence | Evaluator Agent   | Reviews proposals, scores risk, and drafts automated governance actions     |
| Q402 Execution          | Facilitator Agent | Sponsors gas, verifies signatures, and executes transactions                |
| RWA Integration         | Compliance Agent  | Monitors NAV updates, validates PoR feeds, and triggers compliance alerts   |
| Policy Engine           | Regulatory Agent  | Enforces policy checks, risk thresholds, and jurisdiction gating            |
| Marketplace Layer       | AgentFi Trader    | Participates in yield and reputation markets tied to governance performance |

#### Operational Model

1. Registration – Agents are deployed by users, institutions, or Quack AI itself through smart contracts.
2. Configuration – Each agent receives logic templates such as risk appetite, jurisdiction, or treasury control level.
3. Delegation – Users can assign decision or execution authority to selected agents.
4. Execution – Agents act based on predefined triggers or signed intent from users.
5. Reward Distribution – Facilitators and evaluators earn $Q-denominated yield based on verified activity.

#### Agent Advantages

* 24/7 governance participation without manual input
* Autonomous treasury management with policy controls
* Real-time compliance enforcement
* Machine-to-machine coordination between agents across chains

Agents are the connective tissue of the AI Economy.\
They allow governance, execution, and compliance to occur automatically and transparently across the Quack Stack.