Want to build your first research agent? Here's the no-BS approach:
Start dead simple. Create an Agent that actually does something predictable - nail down its behavior patterns and what comes out the other end. Then layer in your search and extraction capabilities. Hook up both flavors of memory: the quick-recall stuff and the long-term database storage.
Once it's running? Test the hell out of it. Run multiple cycles, check if outputs make sense. Don't overthink version one - just make sure the foundation works before adding complexity.
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YieldWhisperer
· 12-13 23:02
I really didn't expect it to be this simple. First, get the basics solid...
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GateUser-40edb63b
· 12-13 16:58
Ha, you're right. Just don't start with all those flashy things.
This part really needs to focus on building a solid foundation; otherwise, it'll all be pitfalls later.
It's basically about MVP thinking—quickly validating feasibility and then iterating, to avoid wasting time on unnecessary tinkering.
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CryingOldWallet
· 12-12 04:02
Haha, really, don't mess around with those fancy tricks. Simplicity and straightforwardness are the most reliable.
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DaoDeveloper
· 12-10 23:50
ngl the memory layer design here is kinda the crux... stateless agents r just vibes, but once u add that dual-memory composability? suddenly ur looking at smth w real game-theoretic implications. curious what tradeoffs they're making between latency vs consistency tho
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bridgeOops
· 12-10 23:43
Haha, I just like this no-nonsense style. Let's get the basics solid first before talking.
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GasFeeNightmare
· 12-10 23:42
Haha, it's the same story again. First, get the basics solid, or else you won't be able to make changes later.
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MetaMuskRat
· 12-10 23:41
Don't mess around; first, get the basics steady. The logic is sound. Just worry about trying to do everything at once from the start.
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BearMarketMonk
· 12-10 23:38
Another myth of "starting from zero." The simplest things often fail due to details, and the real test lies in the market validation of the second version.
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GasFeeCrier
· 12-10 23:32
That's right, it still has to start with the simplest. Too many people want to build a comprehensive agent right from the start, but end up with nothing to show for it.
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CantAffordPancake
· 12-10 23:20
ngl this approach is about doing less fuss and getting more done, I like it
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Ah, it's this again. First get the basics sorted, don't start with a bunch of flashy stuff
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How to choose the memory module? I keep feeling that short-term and long-term might conflict here
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Simple and straightforward, I support it—that is, whether the testing cycle will be too long
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Really, don’t aim for perfection in the first version; just get it running
Want to build your first research agent? Here's the no-BS approach:
Start dead simple. Create an Agent that actually does something predictable - nail down its behavior patterns and what comes out the other end. Then layer in your search and extraction capabilities. Hook up both flavors of memory: the quick-recall stuff and the long-term database storage.
Once it's running? Test the hell out of it. Run multiple cycles, check if outputs make sense. Don't overthink version one - just make sure the foundation works before adding complexity.