jan vs langgraph
Side-by-side comparison of two AI agent tools
janopen-source
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
langgraphopen-source
Build resilient language agents as graphs.
Metrics
| jan | langgraph | |
|---|---|---|
| Stars | 41.4k | 28.0k |
| Star velocity /mo | 982.5 | 2.5k |
| Commits (90d) | — | — |
| Releases (6m) | 9 | 10 |
| Overall score | 0.7620294017197415 | 0.8081963872278098 |
Pros
- +完全离线运行，确保数据隐私和安全，信息不会泄露到外部服务器
- +开源软件，用户拥有完全控制权，可自定义和审查代码
- +支持多平台部署，无需订阅费用，一次安装终身使用
- +Durable execution ensures agents automatically resume from exactly where they left off after failures or interruptions
- +Comprehensive memory system with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions
- +Seamless human-in-the-loop capabilities allow for inspection and modification of agent state at any point during execution
Cons
- -需要足够的本地计算资源（CPU/GPU/内存）来运行大型语言模型
- -模型性能可能不如云端商业服务（如 ChatGPT）的最新版本
- -缺乏云端服务的实时更新和最新功能支持
- -Low-level framework requires more technical expertise and setup compared to high-level agent builders
- -Graph-based agent design paradigm may have a steeper learning curve for developers new to agent orchestration
- -Production deployment complexity may be overkill for simple chatbot or single-turn use cases
Use Cases
- •企业内部 AI 助手，处理敏感数据时确保信息不外泄
- •个人隐私保护，在处理私人文档或敏感信息时使用本地 AI
- •网络受限环境下的 AI 应用，如飞行途中或网络不稳定区域
- •Long-running autonomous agents that need to persist through system failures and operate over days or weeks
- •Complex multi-step workflows requiring human oversight, approval, or intervention at specific decision points
- •Stateful agents that must maintain context and memory across multiple sessions and interactions