Limioryn
Limioryn 是面向端云协同 AI、多 Agent 与真实设备接入的分层 Python API。它统一设备 Capability、多 Agent 协作、受约束物理执行、状态确认与恢复，帮助开发者把智能应用构想落地为可连接真实设备、可验证、可恢复的工程系统。
当前版本：
0.39.0。项目处于公开预览阶段。涉及人身、财产或工业安全的系统，仍需独立风险评估、硬件联锁和现场验证。
安装
python -m pip install limioryn
Python 版本要求：3.11 或更高版本。
按需安装可选能力：
python -m pip install "limioryn[cli,mqtt]"
python -m pip install "limioryn[redis,sentinel-security]"
python -m pip install "limioryn[langgraph]"
几行代码建立概念化场景
from limioryn import create_demo
system = create_demo("智慧温室")
soil = system.sensor(
"soil", capability="sensor.moisture", initial=55, unit="%",
)
pump = system.actuator("pump", capability="actuator.relay")
system.agent(lambda soil: pump.on() if soil < 30 else pump.off())
system.scene("干燥", soil=22)
system.scene("湿润", soil=80)
system.run()
默认模式不需要模型密钥。开发者也可以在同一设备合同上接入云端模型、多 Agent Team、Runtime、Device SDK 和长期 Agent Workspace。
四层能力
- Demo Builder：用少量声明生成业务场景、交互控制台和状态投影。
- Framework：定义 Agent Team、Capability 权限、验证者和执行策略。
- Runtime：处理命令白名单、风险边界、Outbox、ACK、对账与恢复。
- Harness / Device SDK：验证设备协议合同，并提供 ESP32-S3、STM32 与 Linux SBC 参考实现。
Limioryn 的熵模型用于约束可能产生不可逆物理后果的执行。模型评分不能绕过 Capability、Schema、权限、命令白名单或硬件联锁。
发布与来源说明
代码采用 Apache-2.0 许可证，原始作者为 Xuchen Zhang。项目不会设置打赏渠道；欢迎体验、提交问题和参与开发。如果它对你有帮助，也欢迎在 GitHub 上点一个免费的 Star。
1 maintainer
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