AgentForge vs OpenHuman
Side-by-side comparison of two AI agent tools
Short answer
- OpenHuman is growing faster: +2,510 GitHub stars in the last 30 days vs +13 for AgentForge.
- Pick AgentForge for: extensible AGI Framework. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.
From GitHub data refreshed daily.
AgentForgeopen-source
Extensible AGI Framework
O
OpenHumanopen-source
OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust
Metrics
| AgentForge | OpenHuman | |
|---|---|---|
| Stars | 850 | 40.5k |
| Star velocity /mo | 12.789473684210526 | 2.5k |
| Commits (90d) | 4 | 22.8k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 784 | — |
| Overall score | 0.30870816273678475 | 0.9308227395695856 |
Pros
- +声明式Cogs工作流:使用YAML文件即可编排复杂的多代理系统,无需编写大量胶水代码
- +真正的LLM无关性:支持OpenAI、Google、Anthropic等商业API及Ollama本地模型,可为不同代理分配不同模型
- +集成内存系统:提供开箱即用的上下文记忆功能,代理能够维持连贯的对话和任务执行状态
Cons
- -工具系统已弃用:Actions和tools功能已废弃,等待基于MCP标准的新系统替换
- -相对较新的项目:769 GitHub stars表明社区规模有限,可能缺乏成熟的生态系统和第三方插件
- -学习曲线:需要掌握YAML配置、Cogs工作流和Personas概念才能充分发挥框架优势
Use Cases
- •多代理协作系统:构建需要多个AI代理协同工作的复杂业务流程,如客服、销售和技术支持的协作场景
- •有状态的AI助手:开发需要记住历史对话和用户偏好的智能助手,提供个性化的连续服务体验
- •快速原型验证:使用低代码方式快速构建和测试不同的代理架构,验证AI解决方案的可行性
FAQ
- Which is more popular, AgentForge or OpenHuman?
- OpenHuman has more GitHub stars (40,486 vs 850).
- Which is more actively developed, AgentForge or OpenHuman?
- OpenHuman had more commits in the last 90 days (22,774 vs 4).
- Should I use AgentForge 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.