AgentScope

Overview

AgentScope is a Python framework for building and orchestrating multi-agent systems with built-in observability. It provides tools to construct agent workflows, manage communication between agents, and inspect execution flows in real time to understand agent behavior and decision-making.

Best for

Best for
Teams building multi-agent systems who prioritize understanding and debugging agent interactions over rapid deployment.

Use cases

• Debugging multi-agent conversations and interactions
• Building collaborative agent systems with transparent execution paths
• Prototyping agent workflows with visibility into each step

Notes

AgentScope is a Python framework for building and orchestrating multi-agent systems with built-in observability. It provides tools to construct agent workflows, manage communication between agents, and inspect execution flows in real time to understand agent behavior and decision-making.

25,983 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Debugging multi-agent conversations and interactions
• Building collaborative agent systems with transparent execution paths
• Prototyping agent workflows with visibility into each step

Pros

• Strong focus on observability and debugging, making agent behavior transparent
• Active community project with 25k+ stars indicating adoption and maintenance
• Python-native, integrating with existing Python ML/AI ecosystems

Cons

• Community-maintained rather than backed by a commercial vendor, affecting support guarantees
• Limited to Python, restricting use in polyglot environments
• Orchestration-focused, requiring integration with separate LLM providers and tools

Indexed from awesome-langchain and enriched against its public facts.