Introduction to OxyGent
OxyGent is an open source Python framework launched by Jingdong Open Source (JD Open Source), focusing on helping developers rapidly build production-ready intelligent systems. It achieves unified management of tools, models and intelligences through modular Oxy components, providing end-to-end development process support.
Core design objectives
- Simplified development:Enables developers to focus on business logic rather than infrastructure
- Modular Architecture:Lego-like componentized design with hot-swap support
- Smart Collaboration:Realizing dynamic task decomposition and negotiation among multiple intelligences
- Highly scalable:Supporting Large-Scale Real-Time Decision Making with Distributed Schedulers
Framework Features
The latest version scored 59.14 on the GAIA benchmark (close to 60.8 for the top open source system, OWL) with the following key technical capabilities:
- Elastic architecture supports multiple topologies such as ReAct and hybrid planning
- Built-in evaluation engine for continuous evolution capability
- Provide visual debugging tools to assist development
This answer comes from the articleOxyGent: Python open source framework for rapidly building intelligent systemsThe
May not be reproduced without permission:AI productivity tools " What is OxyGent and what are its main design goals?
