AgentScope

Sweet spot: a team that needs real multi-agent production features (retries, monitoring, distributed runs) and is willing to commit to a slightly less-adopted framework for those gains. If you are on Alibaba Cloud or primarily use Qwen, AgentScope is an easier bet than LangGraph. Failure modes. Community size matters when you hit a bug — LangGraph issues get answered faster than AgentScope issues, simply because more people use LangGraph. Distributed execution is a double-edged sword: powerful when you need it, extra operational surface when you don't. If your workloads fit on one machine, the distributed features are complexity you pay for without benefit. What to pilot. Build a two-agent pipeline with one flaky external tool. Kill that tool mid-run. AgentScope's retry and fault-isolation behaviour should be observable — if it recovers cleanly and you can see the failure in Studio, the framework is earning its place; if not, a lighter-weight framework with custom retry logic may be simpler.

AgentScope is Alibaba's open-source framework for multi-agent systems, positioned as a production-oriented alternative to research-first frameworks. It emphasises three properties: reliability (built-in retries, exception handling, fault-isolation), developer experience (clean Python API, a visual "AgentScope Studio" for inspection and debugging), and scalability (distributed execution across machines via RPC). The core abstractions are agents with tools, pipelines for composition, and a message-passing runtime. Beyond the basics, AgentScope ships a monitor dashboard for live agent runs, a visual workflow builder, support for local / hosted / distributed execution, and native integrations with Alibaba's DashScope and Qwen models — plus OpenAI, Anthropic, and Ollama. For teams that want a multi-agent framework engineered for production rather than for academic papers, AgentScope is one of the more pragmatic choices available in 2026. The documentation is bilingual (English / Chinese) and the community contributes example agents weekly.