OpenTinker is a framework for agentic reinforcement learning, offering a range of training scenarios and environments. It features both data-dependent and data-free paradigms, with single-turn and multi-turn interaction modes for various use cases. The setup involves cloning the repository, installing dependencies, and configuring an authentication system for API access.

AgentScope is a developer-centric framework designed for building agentic applications, emphasizing transparency, real-time interaction, and modularity. It supports multi-agent communication and offers various tools for customization and state management, fostering a flexible environment for both beginners and experts in AI development. Recent updates include the release of new modules and open-source resources for enhanced agent deployment and interaction.