# Running Cleo

Cleo is designed to operate in flexible environments — from local terminals to remote servers and containerized deployments. Whether you're experimenting with agent behavior or integrating Cleo into a production system, this guide walks through the key steps to get Cleo running cleanly and consistently.

***

### Modes of Operation

Cleo can be run in several modes depending on your environment and needs:

1. **Interactive Terminal**: Default CLI-based interaction loop.
2. **Scripted Execution**: Batch tasks fed via code or external scripts.
3. **Daemonized Agent Loop**: Background service for persistent agents.
4. **API-Based Operation** *(coming soon)*: REST interface for remote communication.

***

### Initial Setup

Ensure Python 3.10+ is installed. Then:

```bash
bashCopyEditgit clone https://github.com/HUADA999/Cleo.git
cd Cleo
pip install -r requirements.txt
cp .env.example .env
```

Edit `.env` with your desired configuration for memory backend, agent defaults, and other runtime options.

***

### Running Cleo Locally

#### Method 1: Launch Default Agent

```bash
bashCopyEditpython main.py
```

This will load the default agent defined in `main.py` and enter an interactive task loop:

```bash
bashCopyEdit>>> Find the latest updates on solar energy innovation.
```

#### Method 2: Load a Specific Agent

```bash
bashCopyEditpython -m cleo.run --agent lex
```

Add a CLI interface to support flexible agent selection and task chaining (if not already implemented).

***

### Logging and Debugging

Cleo includes structured logging (in `logs/`) and agent-specific transcripts.

You can add runtime debug flags via `.env`:

```
iniCopyEditCLEO_DEBUG=true
CLEO_LOG_LEVEL=info
```

Logging output includes timestamps, task IDs, selected tools, and memory hits.

***

### Subpages

To better support diverse workflows, this section includes three detailed subpages:

* **1. Local Deployment**
  * For users developing and testing on their own machines.
* **2. Server & Container Environments**
  * Deploying Cleo to a Linux server, Docker, or cloud instance.
* **3. Scheduled & Background Execution**
  * Setting up persistent agents and CRON/daemon workflows.

***

Would you like to begin with the **Local Deployment** subpage?

4o

**You said:**

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**ChatGPT said:**

Here is the **Local Deployment** subpage under the “Running Cleo” section. This page walks users through setting up, running, and testing Cleo on their local machine in a stable and development-ready environment.