Agency vs Agency Swarm

Side-by-side comparison of two AI agent tools

Short answer

  • Agency has had no commit in 21 months; Agency Swarm is actively maintained (104 commits in the last 90 days).
  • Agency Swarm is growing faster: +74 GitHub stars in the last 30 days vs +1 for Agency.
  • Pick Agency for: ‍ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other. Pick Agency Swarm for: reliable Multi-Agent Orchestration Framework.

From GitHub data refreshed daily.

Agencyopen-source

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

Agency Swarmopen-source

Reliable Multi-Agent Orchestration Framework

Metrics

AgencyAgency Swarm
Stars5154.6k
Star velocity /mo1.421052631578947173.57894736842105
Commits (90d)0104
Releases (6m)010
Downloads (30d, npm + PyPI)—3.3K
Overall score0.15975726613251540.6399585851872038

Pros

  • +纯Go实现提供卓越性能和类型安全,无需Python或JavaScript依赖
  • +支持清洁架构原则,业务逻辑与实现分离,代码可维护性高
  • +易于扩展的接口设计,可创建自定义操作并组合成复杂AI流程
  • +基于OpenAI Agents SDK的生产就绪架构,确保稳定性和可扩展性
  • +完全控制代理提示和指令,实现精确的行为定制
  • +类型安全的工具系统和自动参数验证,减少运行时错误

Cons

  • -相对较新的库,GitHub星数较少(506),社区规模有限
  • -Go生态系统中AI库相对稀缺,可能缺乏一些成熟Python库的高级功能
  • -文档和示例相对有限,学习资源可能不如主流AI库丰富
  • -依赖OpenAI API,可能产生持续的使用成本
  • -复杂多代理系统的调试和监控可能具有挑战性
  • -需要深入理解代理编排概念才能有效使用

Use Cases

  • •构建高性能的AI聊天机器人和对话系统
  • •开发复杂的数据分析和处理管道,利用LLM进行智能分析
  • •创建自主AI代理系统,实现多步骤推理和决策流程
  • •构建企业级AI助手团队,如CEO、开发者、虚拟助理协作处理业务流程
  • •创建客户服务自动化系统,多个专业代理处理不同类型的询问和任务
  • •开发内容生成工作流,编排研究、写作、编辑代理完成复杂项目

FAQ

Which is more popular, Agency or Agency Swarm?
Agency Swarm has more GitHub stars (4,588 vs 515).
Which is more actively developed, Agency or Agency Swarm?
Agency Swarm had more commits in the last 90 days (104 vs 0).
Should I use Agency or Agency Swarm?
Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.