AgentScope is a Python framework for building and running multi-agent systems powered by large language models.
The framework addresses the challenge of creating agents that remain interpretable and controllable as LLM capabilities advance. Rather than imposing rigid prompts and orchestration patterns, AgentScope leverages the reasoning and tool-use abilities that modern language models provide. The system is designed around essential abstractions that allow agents to operate with increasing autonomy while maintaining visibility into their behavior and decision-making processes.
Developers should choose AgentScope for projects requiring multi-agent coordination, particularly those involving multi-modal interactions or complex reasoning tasks. The framework supports ReAct-style agents and integrates with the Model Context Protocol. It suits teams building production systems where understanding agent behavior is critical, as the framework prioritizes transparency alongside capability.
The project maintains active development with regular updates to its documentation and roadmap. Development activity shows consistent engagement with the codebase and community interaction through multiple communication channels.
