Detailed Introduction
Maintained by JD’s open source team, OxyGent provides a framework for orchestrating multiple agents in cooperative workflows. It focuses on a local-first, composable approach that lets developers define agents, tools, and permission boundaries, while a runtime engine handles task scheduling and inter-agent communication. The project includes example repositories and onboarding documentation to help enterprises pilot the framework in controlled environments.
Main Features
- Local-first workflow engine supporting hybrid offline/online execution.
- Multi-agent collaboration model with task distribution, shared context, and callback mechanisms.
- Plugin-based tool integration for connecting databases, APIs, and external services.
- Built-in permissioning and audit capabilities to support compliance and traceability.
Use Cases
OxyGent is suitable for enterprise scenarios that require coordination across multiple models or services, such as automated customer support, cross-system data processing, business process orchestration, and intelligent operations. Organizations can run small-scale pilots before expanding to production.
Technical Features
- Implemented in the Python ecosystem for easy integration with backend systems.
- Supports composable agent definitions and finite-state control for testability and replayability.
- Exposes runtime metrics and audit logs for monitoring and compliance reviews.
- Open source license with an active community for extensibility and enterprise customization.