AgentScope vs AutoGen

Side-by-side comparison of two AI agent tools

Short answer

  • AgentScope is growing faster: +1,829 GitHub stars in the last 30 days vs +782 for AutoGen.
  • Pick AgentScope for: build and run agents you can see, understand and trust. Pick AutoGen for: a programming framework for agentic AI.

From GitHub data refreshed daily.

AgentScopeopen-source

Build and run agents you can see, understand and trust.

A programming framework for agentic AI

Metrics

AgentScopeAutoGen
Stars32.7k61.2k
Star velocity /mo1.8k781.8947368421053
Commits (90d)3040
Releases (6m)100
Downloads (30d, npm + PyPI)296.7K—
Overall score0.82942033818210880.3844257679182666

Pros

  • +Production-ready with multiple deployment options including local, serverless, and Kubernetes with built-in observability
  • +Comprehensive built-in features including ReAct agents, memory, planning, voice interaction, and model finetuning capabilities
  • +Flexible multi-agent orchestration through message hub architecture with support for complex workflows and agent communication
  • +支持多代理协作,可以创建复杂的 AI 交互系统
  • +提供 AutoGen Studio 无代码界面,降低使用门槛
  • +强大的模型集成能力,支持多种主流大语言模型和 MCP 服务器

Cons

  • -Python-only framework limits usage for teams working in other programming languages
  • -Requires Python 3.10+ which may not be compatible with all existing environments
  • -As a comprehensive framework, may have a steeper learning curve compared to simpler agent libraries
  • -需要 Python 3.10 或更高版本,对环境有一定要求
  • -项目处于维护模式,新用户被建议使用 Microsoft Agent Framework
  • -从 v0.2 升级需要遵循迁移指南,存在向后兼容性问题

Use Cases

  • •Building production AI agent systems that require transparency, debugging capabilities, and human oversight
  • •Developing multi-agent workflows where agents need to collaborate, communicate, and orchestrate complex tasks
  • •Creating conversational AI applications with realtime voice interaction and custom model finetuning requirements
  • •构建多代理对话系统,让不同角色的 AI 代理协作解决复杂问题
  • •创建自动化工作流程,通过代理协作完成数据分析、内容生成等任务
  • •开发具有网络浏览能力的智能助手,结合 MCP 服务器实现外部工具集成

FAQ

Which is more popular, AgentScope or AutoGen?
AutoGen has more GitHub stars (61,248 vs 32,703).
Which is more actively developed, AgentScope or AutoGen?
AgentScope had more commits in the last 90 days (304 vs 0).
Should I use AgentScope or AutoGen?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.