> For the complete documentation index, see [llms.txt](https://docs.automatos.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.automatos.app/overview/readme.md).

# Welcome

Automatos AI is a platform for building, deploying, and managing autonomous AI agent teams. Create specialised agents, equip them with tools and knowledge, schedule their work, and let them operate — reporting back through a unified command centre.

## What can you do with Automatos?

| I want to...                       | Go to                                                        |
| ---------------------------------- | ------------------------------------------------------------ |
| Talk to my AI agents               | [Chat](/user-guides/chat.md)                                 |
| Create or manage agents            | [Agents](/user-guides/agents.md)                             |
| See what my agents are doing       | [Activity](/user-guides/activity.md)                         |
| Connect tools like GitHub or Slack | [Tools & Integrations](/user-guides/tools.md)                |
| Upload documents for RAG           | [Knowledge Bases](/user-guides/knowledge.md)                 |
| Browse plugins, skills, and LLMs   | [Marketplace](/user-guides/marketplace.md)                   |
| Add team members                   | [Team Management](/user-guides/team.md)                      |
| Track costs and performance        | [Analytics](/user-guides/analytics.md)                       |
| Configure the platform             | [Settings](/user-guides/settings.md)                         |
| Connect Telegram, Slack, WhatsApp  | [Channels](/user-guides/tools/channels.md)                   |
| Use voice chat                     | [Voice Chat](/user-guides/chat/voice.md)                     |
| Run autonomous missions            | [Missions](/user-guides/activity/missions.md)                |
| Explore the knowledge graph        | [Knowledge Graph](/user-guides/knowledge/knowledge-graph.md) |
| Use the REST API                   | [API Reference](/reference/api-reference.md)                 |

## Quick start

### 1. Sign in

Create your account or sign in with your workspace credentials. A personal workspace is created automatically on first login.

### 2. Create your first agent

Head to [Agents](/user-guides/agents.md) and click **+ Create Agent**. Pick a template like Code Reviewer or start from scratch.

### 3. Give it tools

Go to [Tools](/user-guides/tools.md) to connect apps like GitHub, Jira, or Slack. Assign them to your agent.

### 4. Add knowledge

Upload documents in [Knowledge Bases](/user-guides/knowledge.md) so your agents can search and reference them.

### 5. Start chatting

Open [Chat](/user-guides/chat.md) and ask a question. The platform automatically routes your message to the best agent.

{% hint style="info" %}
Need help? Click the chat icon in the sidebar to talk to your agents at any time.
{% endhint %}


---

# 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.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.automatos.app/overview/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.