Cleo
Repository
  • Getting Started
    • System Requirements & Dependencies
    • Project Structure & Key Components
  • Agent Creation
  • Memory & Storage
  • Running Cleo
    • Server & Container Environments
    • Local Deployment
    • Scheduled & Background Execution
  • Integration with External APIs
  • Data Storage and Management
  • Task Scheduling and Execution
  • Logging and Monitoring
  • Advanced Agent Configuration and Customization
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On this page
  • Modes of Operation
  • Initial Setup
  • Running Cleo Locally
  • Logging and Debugging
  • Subpages

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:

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

bashCopyEditpython main.py

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

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

Method 2: Load a Specific Agent

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.


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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.

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Last updated 1 month ago