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OWL

OWL (Optimized Workforce Learning) is an open-source framework for multi-agent collaboration and task automation, supporting tool invocation, browser automation, and multimodal processing.

Introduction

OWL is a framework for building multi-agent collaboration systems, emphasizing task automation, parallel execution, and tool invocation. It supports a variety of toolkits such as browser automation, document parsing, and image/video processing, making it suitable for constructing complex agent-based applications and workflow automation scenarios.

Key Features

  • Multi-agent orchestration and parallel execution.
  • Rich toolkits (search, browser, document processing, code execution, etc.).
  • Extensible model backends and multimodal support.

Use Cases

  • Automated workflows and assistant systems.
  • Research and development of multi-agent collaboration strategies.
  • Building task-oriented agents with tool invocation capabilities.

Technical Highlights

  • Primarily implemented in Python, supporting Gradio/Web UI and local deployment.
  • Focus on privacy and local operation options, with support for Docker and virtual environment installation.

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OWL
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