Recently, Midnight released Midnight City Simulation, which is actually easier to understand this project than a bunch of lengthy explanations.
Imagine a bunch of AI agents buying things, settling, and collaborating on the chain by themselves.
When it comes to this scenario, the biggest fear is not that the transactions won't run, but that every agent's path, quotes, inventory, and strategies are all exposed. The system needs to verify that these actions are real, but it cannot broadcast every step live.
The focus of this demonstration, @MidnightNetwork , is right here. The official directly combined selective disclosure, zero-knowledge proofs, AI agent interaction, and L2 scaling in the same scenario, clearly indicating that it's not just about discussing privacy concepts, but rather pushing a set of underlying systems that can run real automated collaboration.
This aligns well with its recent mainnet rhythm.
At the end of February, the official confirmed that the mainnet will launch in late March 2026, and at the beginning of March, they released a developer guide before the mainnet launch, encouraging teams to migrate to Preprod, prepare DUST, and move towards the formal environment.
The meaning is very direct; Midnight is no longer just telling stories, but is pushing the batch of applications that can go live on the mainnet forward.
The token layer is not just a decoration.
$NIGHT is positioned in governance and capital layers. Holding NIGHT will generate DUST, and what is consumed during actual transactions and contracts is DUST.
For a system like AI agents that need to run continuously and settle continuously, this kind of layering is crucial; resources are more stable, and costs are easier to control.
Many people still consider Midnight as an old-fashioned privacy narrative, but I actually feel that it is already moving towards the next stage of on-chain automated collaborative entry.
@MidnightNetwork $NIGHT #night
