Agency Swarm vs TaskWeaver

Side-by-side comparison of two AI agent tools

Short answer

  • TaskWeaver has had no commit in 6 months; Agency Swarm is actively maintained (103 commits in the last 90 days).
  • Agency Swarm is growing faster: +74 GitHub stars in the last 30 days vs +6 for TaskWeaver.
  • Pick Agency Swarm for: reliable Multi-Agent Orchestration Framework. Pick TaskWeaver for: the first "code-first" agent framework for seamlessly planning and executing data analytics tasks.

From GitHub data refreshed daily.

Agency Swarmopen-source

Reliable Multi-Agent Orchestration Framework

TaskWeaveropen-source

The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.

Metrics

Agency SwarmTaskWeaver
Stars4.6k6.2k
Star velocity /mo73.809523809523815.555555555555555
Commits (90d)1030
Releases (6m)100
Overall score0.63470287977086710.19893719692131817

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
  • +Stateful code execution that preserves in-memory data and execution history across interactions, enabling complex multi-step data analysis workflows
  • +Code-first approach that generates actual executable code rather than just text responses, providing transparency and repeatability in data analytics tasks
  • +Strong plugin ecosystem with function-based architecture that allows easy extension and coordination of various data processing tools

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
  • -Complexity overhead compared to simple chat agents, requiring more setup and understanding of the multi-role architecture
  • -Primarily focused on data analytics use cases, limiting applicability for general-purpose AI agent applications
  • -Container mode execution, while secure, may introduce performance overhead and deployment complexity

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
  • •Multi-step data analysis workflows where intermediate results need to be preserved and referenced across different analytical operations
  • •Complex tabular data processing tasks involving high-dimensional datasets that require stateful manipulation and transformation
  • •Automated report generation and data visualization pipelines that combine multiple data sources and analytical functions
View Agency Swarm DetailsView TaskWeaver Details

FAQ

Which is more popular, Agency Swarm or TaskWeaver?
TaskWeaver has more GitHub stars (6,168 vs 4,587).
Which is more actively developed, Agency Swarm or TaskWeaver?
Agency Swarm had more commits in the last 90 days (103 vs 0).
Should I use Agency Swarm or TaskWeaver?
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.