> For the complete documentation index, see [llms.txt](https://alludium.gitbook.io/alludium-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alludium.gitbook.io/alludium-docs/administration/2.-agents.md).

# Agents

Agents are the core operational units behind many Alludium workflows. This section explains how agents work, how they move through their lifecycle, and how Admins and Owners manage direct agent surfaces.

Most Members interact with agents indirectly through tasks, projects, files, and configured workspace assistants. If you are building, deploying, sharing, or managing agents directly, this section gives the deeper model.

### What You'll Learn

**What Is an Agent** — The technical definition of agents, how they differ from chatbots, and what makes them reliable for business workflows.

**Agent Lifecycle** — How agents move from In Development to Deployed, and what each state means for your operations.

**Agent Types** — The difference between custom agents, template-based agents, and system agents.

**My Agents** — The execution environment where you interact with deployed agents, review outputs, and maintain conversation history.

**Agent Visibility and Status** — How to monitor agent performance, track usage, and understand what each agent is doing across your workspace.

***

### Who Should Read This Section

**If you're building or configuring agents:** This section explains the architecture and design patterns that make agents effective.

**If you're managing a team using agents:** This section shows you how to monitor agent activity and maintain quality standards.

**If you're a Member using agent-assisted workflows:** Start with Inbox, Projects, and Files first. Return here when you need to understand the agent model behind those workflows.

***

### How This Section Connects

You've already learned the platform fundamentals in **Getting Started**. This section assumes you understand the difference between everyday Member work and Administration, and focuses specifically on agent architecture and operation.

After this section, move to Agent Builder for hands-on configuration, then to Files, Integrations, and Automations for the supporting platform surfaces agents rely on.

***

Ready to understand agents at a deeper level? Start with **What Is an Agent** for the technical foundation.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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