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Bring AI Agents to industrial control via "SDK-style" real-time engine
by ulfaric·Apr 8, 2026·2 points·0 comments
AI Analysis
●MidBold BetNiche Gem
MCP-enabled industrial control engine, but access requires a LinkedIn message.
Strengths
- •OPC UA connectivity allows bridging legacy industrial hardware to modern AI agents.
- •Auto-generated REST APIs and MCP servers reduce integration boilerplate significantly.
- •Claims sub-millisecond jitter in Python, which is ambitious for soft real-time tasks.
Weaknesses
- •No public repository or documentation, access gated behind direct author contact.
- •Python's GIL makes hard real-time guarantees under 1ms skeptical without C extensions.
Category
Target Audience
Industrial automation engineers, IIoT developers
Similar To
Ignition SCADA · Node-RED · LangChain
Post Description
Hi
Just want to showcase this new real-time engine I built in Python.
It can achieve precise real-time task execution with a jitter of less than 1ms, suitable to be used as a vPLC.
It has a built-in auto-generation of RESTful APIs and MCP, which allows direct integration with other systems and LLM agents.
It also allows you to connect with real PLCs, industrial gateways, or edge units via the OPC UA protocol. So you can use it for backup.
The URL links to a demo in action with Ignition SCADA and Cursor.
If you are interested and would like to try it, please contact me on LinkedIn: https://www.linkedin.com/in/yifei-ren-8b021311a/
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