Building system with digital twin based agent processing

A method, comprising:

• receiving, by one or more processing circuits, timeseries data associated with a building;
• detecting, by the one or more processing circuits, responsive to receipt of the timeseries data, that a new building device has been added to the building;
• determining, by the one or more processing circuits, that a representation of the new building device is absent from a digital twin of the building;
• and
• executing, by the one or more processing circuits, a machine learning model to add the representation of the new building device to the digital twin of the building.

One or more non-transitory storage media storing instructions thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving timeseries data associated with a building;
• detecting, responsive to receipt of the timeseries data, that a new building device has been added to the building;
• determining that a representation of the new building device is absent from a digital twin of the building;
• and
• executing a machine learning model to add the representation of the new building device to the digital twin of the building.