Agency Swarm vs workgpt
Side-by-side comparison of two AI agent tools
Short answer
- workgpt has had no commit in 39 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 +-0 for workgpt.
- Pick Agency Swarm for: reliable Multi-Agent Orchestration Framework. Pick workgpt for: a GPT agent framework for invoking APIs.
From GitHub data refreshed daily.
Agency Swarmopen-source
Reliable Multi-Agent Orchestration Framework
workgptopen-source
A GPT agent framework for invoking APIs
Metrics
| Agency Swarm | workgpt | |
|---|---|---|
| Stars | 4.6k | 731 |
| Star velocity /mo | 73.57894736842105 | -0.4736842105263158 |
| Commits (90d) | 104 | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | 3.3K | — |
| Overall score | 0.6399585851872038 | 0.12103254904665364 |
Pros
- +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
- +支持任何OpenAPI格式的API，具有出色的扩展性和兼容性
- +智能身份验证处理，自动识别和配置API认证方式
- +集成OpenPM包管理器，简化API发现和集成流程
Cons
- -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
- -依赖OpenAI API调用，产生持续的使用成本
- -主要基于文本交互，对于需要复杂UI操作的场景支持有限
- -执行效果高度依赖外部API的可用性和响应质量
Use Cases
- •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
- •自动化网络研究和数据收集，如基于IP地址查询地理信息和人口统计
- •网站内容爬取和结构化数据提取，利用Puppeteer进行智能网页解析
- •多API协作的业务流程自动化，如集成多个服务完成复杂任务链
FAQ
- Which is more popular, Agency Swarm or workgpt?
- Agency Swarm has more GitHub stars (4,588 vs 731).
- Which is more actively developed, Agency Swarm or workgpt?
- Agency Swarm had more commits in the last 90 days (104 vs 0).
- Should I use Agency Swarm or workgpt?
- 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.