🤠 @TheoriqAI released a live demo, showcasing the entire process of their OLP Swarm. The core is how a group of agents can automatically handle "market watching + placing orders + adjusting positions" on-chain. After watching it, all I can say is that this project is really serious about getting things done.

How does this Swarm work? It starts by reading pool data from Uniswap v3, such as price fluctuation pulses. Then it hands over to the Statistical Agent for analysis, calculating key indicators like recent averages and volatility. Next, the Policy Agent decides whether to adjust the strategy based on the volatility, such as changing the position width or switching to a different trading range.

The most critical aspect is the actions of the LP Agent, which directly opens positions on-chain, performs swaps, and mints liquidity positions upon receiving strategy signals. The entire process has transaction hashes returned to confirm completion. This is no longer a project that "only does research"; it is a true automated strategy robot that can operate on-chain.

Moreover, this Swarm is capable of perceiving market changes in real time. When we give it a natural language command, such as "Help me check how the market is doing right now, do we need to adjust the parameters?" it can automatically analyze the current market situation and then adjust the existing position strategies in real time, such as tightening or loosening the position range. This is true Agent collaborative execution.

In simple terms, Theoriq is not just promoting the concept of AI + DeFi, but has already equipped a group of agents with the basic ability to "observe the market + make judgments + perform on-chain operations." The next step should see them open this system for more developers to use, at which point the entire agent network's activity will truly take off.