Recently, I added some new branch-related features to the system. On the surface, there's no noticeable change to the UI, but the backend's automatic learning agent has undergone a major upgrade—it can now patternize failure cases and learn autonomously.



Next, I plan to do two things: first, add a memory sub-agent to handle parallel processing; second, visualize the ideas module at the UI level so that the entire thought process can be seen.
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HackerWhoCaresvip
· 1h ago
The backend is secretly upgraded, and users can't tell at all, haha. This is the real sneaky move.
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WalletAnxietyPatientvip
· 12-05 02:56
Damn, digging patterns from failed cases through autonomous learning... that's impressive. Running memory sub-agents in parallel, this architecture is really about to take off. I'm most looking forward to the idea visualization part—finally, we can see how the agent thinks. Backend upgrades like this are the best, quietly getting stronger without making a fuss. Will we be able to use it soon? Can't wait to try it out.
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LiquidityLarryvip
· 12-05 02:56
That's something! It can even learn from failed cases on its own? That logic is pretty impressive.
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ChainProspectorvip
· 12-05 02:54
Damn, a failed case of autonomous learning? Has this thing secretly gotten smarter?
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Fren_Not_Foodvip
· 12-05 02:43
Damn, this self-learning logic is impressive. Being able to extract patterns from failures is really hardcore. Will there be any synchronization issues with parallel memory sub-agents? How did you implement the visualization of ideas? Come and show it off! Tell me honestly, how long did this upgrade take? The visualization of ideas is really necessary. Being able to see the thinking process is what makes it reliable.
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