There are too many projects on the market claiming to be "AI + Crypto", with a wide variety of courses and node sales. Initially, I had no good feelings about these types of projects until one day I delved into the SDK of a certain project.

What surprises me is that the codebase of this project actually exists and is not simply a fork of someone else's code. Most projects are playing the "UI financing" trick, but this project clearly aims to address deeper issues: the two core pain points of current AI Agents—interaction latency and decentralized storage of contextual memory.

The current situation of on-chain AI is quite awkward. Either the performance is inadequate and causes delays, or it is a centralized service disguised in a decentralized guise. This project's approach is quite interesting; it slices reasoning tasks, which can both improve efficiency and enhance storage distribution.

I tried to deploy a simple arbitrage monitoring Agent myself for testing. The most impressive thing is that their Docker packaging quality is good; it can run with just two commands, saving a lot of hassle with environment configuration. Of course, the experience is not perfect. When synchronizing historical data, I encountered a situation where the progress was stuck at 99%, and I waited for ten minutes before realizing that there was a problem with the network handshake. While these small bugs do not directly lead to system crashes, they do affect the overall user experience.