Agency vs OpenHuman
Side-by-side comparison of two AI agent tools
Short answer
- Agency has had no commit in 21 months; OpenHuman is actively maintained (22,774 commits in the last 90 days).
- OpenHuman is growing faster: +2,510 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 OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.
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.
O
OpenHumanopen-source
OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust
Metrics
| Agency | OpenHuman | |
|---|---|---|
| Stars | 515 | 40.5k |
| Star velocity /mo | 1.4210526315789471 | 2.5k |
| Commits (90d) | 0 | 22.8k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.1597572661325154 | 0.9308227395695856 |
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
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
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
FAQ
- Which is more popular, Agency or OpenHuman?
- OpenHuman has more GitHub stars (40,486 vs 515).
- Which is more actively developed, Agency or OpenHuman?
- OpenHuman had more commits in the last 90 days (22,774 vs 0).
- Should I use Agency or OpenHuman?
- 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.