AgentScope
Multi-agent platform for building agents you can see, understand, and trust.
About
AgentScope is an Alibaba-originated multi-agent framework built around message-based communication between agents, with an emphasis on observability: the project describes itself as a way to build and run agents you can see, understand, and trust. It supports tool use, long-running multi-agent conversations, and distributed deployment via an actor-based runtime, and it is documented by an accompanying arXiv paper (2402.14034). The project maintains English and Chinese documentation at docs.agentscope.io and ships as a Python 3.11+ package.
With over 33k GitHub stars it is one of the most-starred agent frameworks, positioned as infrastructure for production multi-agent systems rather than single-agent demos. Details of advanced capabilities (monitoring studio, RAG integrations) are provider-claimed in the official docs; the core message-passing multi-agent model is well documented in the paper and README.
What it can do
- Multi-agent orchestration with message-based communication
- Tool use and function calling for agents
- Actor-based distributed deployment
- Observability for inspecting agent behavior (provider-claimed)
- RAG and knowledge integrations (provider-claimed)
Setup
- pip install agentscope (Python 3.11+)
- Set your model API keys
- Follow the quickstart at docs.agentscope.io to define agents and message flows
Prerequisites
Python 3.11+; API keys for your chosen model providers.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via official GitHub repo + docs.agentscope.io + arXiv paper 2402.14034, batch277; GitHub 33,322 stars; advanced features (Studio, RAG) are provider-claimed; Trending score 89/100 from researcher assessment. License: Apache-2.0.
★ 33,322 GitHub stars
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.