# Social Agents

Social Agents are specialized AI-driven accounts that can engage on behalf of your project across major platforms. They help you **automate community management, amplify your reach, and keep engagement consistent**.

Unlike trading agents in the terminal, **social agents are currently managed through our web UI**. This gives you a simple interface for connecting accounts, setting up behavior, and monitoring engagement.

### **Current Capabilities**

#### **Twitter/X Integration**

* Make posts directly from your agent.
* Automatically reply to mentions.
* Schedule recurring updates (e.g., daily stats).
* Amplify token launches and community news.

#### **Telegram & Discord**

* Agents will join your community chats.
* Answer FAQs, provide updates, and moderate discussions.
* Deliver scheduled content (e.g., token stats, event reminders).

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### **Why Social Agents Matter**

* **Consistency**: Keep your community engaged 24/7.
* **Scalability**: Handle larger audiences without scaling your human team.
* **Personalization**: Agents can adopt specific tones and personalities to reflect your project’s brand.

***

### **How They Relate to the Terminal**

While social agents are currently managed through the UI, they are being built to **eventually connect seamlessly into the terminal**.\
This means in the near future you’ll be able to:

* Type in the terminal: *“Have my agent post daily updates on X.”*
* Or: *“Summarize our community sentiment from Telegram this week.”*

For now, setup and management are done via the UI, but all roads lead toward **a single command center in the terminal**.


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# Agent Instructions: 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:

```
GET https://docs.aigent.run/ai-agent-terminal/social-agents.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.