> ## Documentation Index
> Fetch the complete documentation index at: /llms.txt
> Use this file to discover all available pages before exploring further.

# Agent Control

> An open‑source control plane for centralized agent governance and guardrails.

[Agent Control Demo](https://www.youtube.com/embed/_0F91yBrRa0)

**Agent Control** provides a centralized control layer that evaluates inputs and outputs against configurable rules to block harmful content, prompt injections, PII leakage, and more—without changing agent code.

Choose your next step: follow the quickstart, explore examples, or head to the repo:

> [card] [Quickstart](/core/quickstart.md)
>
> Install, run, and protect your first agent in minutes.

> [card] [Examples](/examples/overview.md)
>
> Real-world use cases and end-to-end integrations.

> [card] [Agent Control Repo](https://github.com/agentcontrol/agent-control)
>
> Browse the source, contribute, or star the project.

## Why It Matters

Traditional guardrails embedded inside your agent code have critical limitations:

* **Scattered Logic:** Control code is buried across your agent codebase, making it hard to audit or update
* **Deployment Overhead:** Changing protection rules requires code changes and redeployment
* **Limited Adaptability:** Hard-coded checks can’t adapt to new attack patterns or production data variations

**Agent Control gives you runtime control over what your agents can and cannot do:**

* **For developers:** Centralize safety logic and adapt to emerging threats without redeployment
* **For non-technical teams:** Configure and monitor agent safety without touching code
* **For organizations:** Reuse controls across agents with audit-ready traces

Explore the core building blocks:

> [card] [Concepts](/concepts)
>
> Controls, selectors, evaluators, and actions.

> [card] [Architecture](/concepts/architecture.md)
>
> Component overview, data flow, and system design.


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