Introducing DAGent: Simplifying AI Agent Creation with Directed Acyclic Graphs
DAGent is a robust Python framework specifically engineered to streamline the development of AI agents through the utilization of directed acyclic graphs (DAGs) and sophisticated language models. By seamlessly transforming conventional Python functions into interconnected nodes, this library empowers developers to orchestrate dynamic decision-making processes and execute intricate workflows effectively.
Key Features:
- Seamless Integration: DAGent effortlessly integrates with existing Python code.
- Dynamic Function Selection: Utilize LLMs for dynamic function selection.
- Support for Multiple AI Models: Compatible with OpenAI, Groq, and Ollama models.
- Automatic Tool Description Generation: Automatically generate tool descriptions.
- Flexible Workflow Construction: Construct workflows with function nodes and decision nodes.
- Easy-to-Use API: Build complex AI agent architectures with a user-friendly API.
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: Easily installable via Pip
- Licensing: MIT License
- Compatibility: Python 3.8+
