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DAGent

Transform Python functions into intelligent, interconnected AI agents

DAGent is an opinionated Python library for rapidly creating AI agents using directed acyclic graphs. It enables developers to transform existing Python functions into intelligent, workflow-driven AI agents with minimal overhead and maximum flexibility.

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Overview

DAGent is a powerful Python framework designed to simplify the creation of AI agents by leveraging directed acyclic graphs (DAGs) and large language models. The library allows developers to convert existing Python functions into intelligent, interconnected nodes that can make dynamic decisions and execute complex workflows.

Key Features

  • Seamless integration with existing Python code
  • Dynamic function selection using LLMs
  • Support for multiple AI models (OpenAI, Groq, Ollama)
  • Automatic tool description generation
  • Flexible workflow construction through function nodes and decision nodes
  • Easy-to-use API for building complex AI agent architectures

Use Cases

  • Automated task management
  • Complex problem-solving workflows
  • Research and analysis assistants
  • Intelligent process automation
  • Multi-step computational tasks
  • AI-driven decision-making systems

Technical Specifications

  • Language: Python
  • Model Support: OpenAI, Groq, Ollama
  • Dependencies: Minimal external requirements
  • Deployment: Pip installable
  • Licensing: MIT License
  • Compatibility: Python 3.8+
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