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

# Eigent (Desktop Agent)

> Route your Eigent desktop agent through LLM Router to automatically prune context, redact local secrets, and leverage model fallbacks.

***

> ## Documentation Index
>
> Fetch the complete documentation index at: [https://docs.llmrouter.app/llms.txt](https://docs.llmrouter.app/llms.txt)
> Use this file to discover all available pages before exploring further.

# Eigent & LLM Router

[Eigent](https://eigent.ai/) is an open-source "coworker" agent that runs directly on your desktop. It uses a multi-agent architecture to perform browser automation, terminal automation, and file system operations, acting much like a human worker operating in a real desktop environment.

Because Eigent interacts heavily with your local machine, routing its traffic through **LLM Router** is highly recommended. It ensures that any local `.env` files or API keys it accidentally reads are **redacted** before reaching external LLM providers, and it **compresses** bloated terminal/browser outputs to save you massive amounts of input tokens.

<Warning>
  **Important:** When using LLM Router with Eigent, you must configure the
  Custom API Host to point to `https://api.llmrouter.app/v1` to ensure API
  compatibility.
</Warning>

## Step 1: Installing Eigent

Choose the installation method that best suits your needs:

<Tabs>
  <Tab title="Official Download (Recommended)">
    ### 1. Download Eigent

    Visit [eigent.ai](https://eigent.ai/) and download the latest version for your platform (macOS 11+ or Windows).

    ### 2. Install the Application

    * **macOS**: Open the downloaded `.dmg` file and drag Eigent into your Applications folder.
    * **Windows**: Run the downloaded `.exe` installer and follow the on-screen instructions.

    ### 3. Launch Eigent

    Open the application to get started.
  </Tab>

  <Tab title="Run from Source">
    For developers who want to run Eigent locally from source code.

    **Prerequisites:**

    * Node.js >= 18.0.0
    * Python >= 3.12
    * Docker (recommended) or PostgreSQL 15

    ### 1. Clone the Repository

    ```bash theme={null} theme={null}
    git clone https://github.com/eigent-ai/eigent.git
    cd eigent
    ```

    ### 2. Start Backend Services

    ```bash theme={null} theme={null}
    cd server
    cp .env.example .env
    docker compose up -d
    ```

    ### 3. Start Frontend Service

    ```bash theme={null} theme={null}
    npm install
    npm run dev
    ```
  </Tab>
</Tabs>

## Step 2: Configuring LLM Router in Eigent

Eigent allows you to configure custom API endpoints. We will set this up to point directly to your LLM Router instance.

### 1. Access Application Settings

Launch Eigent and navigate to the **Home Page**, then click on the **Settings** tab (usually a gear icon).

### 2. Locate Model Configuration

In the Settings menu, find and select the **Models** section. Scroll down to the **Custom Model** area and look for the configuration card (often labeled as Custom OpenAI Config or similar).

### 3. Enter Configuration Details

Click on the custom configuration card and fill in the following information to connect to LLM Router:

* **API Key**: Enter your LLM Router API Key (obtain from the [LLM Router Dashboard](https://llmrouter.app/dashboard)). It usually starts with `sk-router-`.
* **API Host / Base URL**: Enter `https://api.llmrouter.app/v1` (Make sure not to include `/chat/completions` at the end).
* **Model Type**: Enter the specific model you want Eigent to use, prefixed with the provider slug.
  * *Example 1:* `anthropic/claude-3-5-sonnet` (Best for complex desktop automation).
  * *Example 2:* `openai/gpt-4o`

Click **Save** to apply your changes.

### 4. Set as Default

Once saved, click the **"Set as Default"** button on the configuration card to ensure Eigent routes all its agentic tasks through LLM Router.

## Step 3: The LLM Router Advantage

With the configuration complete, your Eigent agents are now powered by LLM Router.

Because Eigent executes tasks autonomously on your machine, the safety and cost-saving layers of LLM Router become critical:

* **Zero-Trust PII Redaction:** If an Eigent agent reads a local config file containing your AWS keys or Stripe tokens while trying to debug a project, LLM Router will automatically mask them into `[TOKEN_REDACTED]` before sending the context to Claude or GPT-4o.
* **Context Pruning:** Agents often "loop" and read the same files multiple times. LLM Router will intelligently compress the middle of these repetitive file reads, saving you thousands of tokens per task.
* **Provider Resilience:** If Anthropic goes down while Eigent is in the middle of a complex multi-step browser automation task, LLM Router will seamlessly fall back to OpenAI, preventing the agent from crashing and losing its progress.