Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. It is licensed under Apache-2.0, allowing commercial use and modification. Because it's built in Python, it integrates easily with existing data pipelines, databases, and agent architectures.

Features

  • Python framework for building agentic GenAI workflows with minimal code
  • Support for event-driven triggers (TriggerFlow) and chaining model calls
  • Easy model switching with unified interface (swap APIs/models without rewriting logic)
  • Built-in examples for news collection, chat-to-control, workflow automation
  • Integration with data pipelines, tool invocations, and task planning logic
  • Apache-2.0 license enabling use in enterprise and research contexts

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Artificial Intelligence Software

Registered

2025-11-24