Agently is a Python framework designed for rapid development of Generative AI applications, enabling developers to build and interact with AI agents using structured data and a fluent, chained-call syntax. It simplifies complex AI workflows and allows seamless switching between different LLM models without code rewrites, targeting developers who want to integrate AI agent capabilities into their applications efficiently.

How It Works

Agently abstracts the complexities of LLM interaction by providing a unified interface for agent creation and management. It uses a plugin-based architecture, allowing core agent functionality to be extended with specialized components like "Role" for character definition or "Workflow" for managing complex logic. This modular design facilitates easier maintenance, updates, and the development of reusable agent capabilities.

Quick Start & Requirements

• Install via pip: pip install -U Agently
• Requires Python. Specific version not stated.
• OpenAI API key is used in examples, but other models are supported.
• Official Documentation: Agently.cn
• Code Examples: GitHub Repository

Highlighted Details

• Model Agnosticism: Easily switch between different LLM providers (e.g., OpenAI) without modifying application code.
• Structured Interaction: Define expected input and output formats for agents, facilitating integration with existing codebases.
• Plugin Architecture: Extensible design allows for modular enhancement of agent capabilities, simplifying development and maintenance.
• Workflow Management: Supports chaining agent calls and managing complex AI logic through a dedicated workflow system.

Maintenance & Community

• Active development indicated by recent updates and a forthcoming homepage rewrite.
• Community channels include Discord and WeChat groups.
• Contact via email: developer@agently.cn

Licensing & Compatibility

• License type is not explicitly stated in the README. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

• Some documentation, particularly for plugin development, is still in progress.
• The README does not specify Python version requirements or provide explicit licensing details, which may impact adoption decisions.