This Web3 intelligent agent project on Solana is a bit different. Traditional intelligent agents have obvious shortcomings—each run resets the state, and optimizations are only one-time. This project's intelligent agents are designed completely differently: they can remember every transaction history, learn and accumulate across different sessions, support unlimited recursive optimization, and the entire agent network can share memories. The result is seamless 24/7 operation. This architectural design indeed has promising potential in the field of DeFi automated trading.

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BTCWaveRidervip
· 01-11 11:26
Bro, this memory mechanism is pretty impressive. It's definitely much better than those one-time-use agents that are discarded after use.
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PseudoIntellectualvip
· 01-10 07:17
Wow, being able to remember history and learn across sessions? This is what an agent should be like. Finally, someone has figured it out.
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ArbitrageBotvip
· 01-08 16:49
Wow, this architecture design really looks solid, not just theoretical. Memory stacking + recursive optimization feels way better than those one-time tools used before.
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SnapshotStrikervip
· 01-08 16:49
Oh no, now I really understand traditional agents. I need to see if I can actually make memory overlay learning work.
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MainnetDelayedAgainvip
· 01-08 16:43
According to the database, another so-called "different" intelligent agent. How many days have passed since the last similar promise? Please feel free to add data. The term "24/7 seamless operation" is recommended for inclusion in the Guinness World Records.
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wrekt_but_learningvip
· 01-08 16:43
Memory + recursive optimization is indeed excellent, far superior to those one-time intelligent agents, but how many projects can truly run stably 24/7?
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DuckFluffvip
· 01-08 16:27
Wow, this is what a real agent should do. The set of recursive memory techniques is truly excellent.
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