[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  KingEmmy [@Emmychidi3](/creator/twitter/Emmychidi3) on x 6091 followers Created: 2025-07-21 12:54:38 UTC most agents operates like chess players in a sandbox. they are predictable, confined & pre-scripted. real world problems doesn’t work that way… they are rather dynamic & unpredictable. this is where @recallnet comes in handy. instead of having agents follow preset instructions or run on just codes, @recallnet have them adapt, remember previous interactions & evolve in experience. while the typical agents forgets everything once it is done with tasks, @recallnet makes agents remember the previous play. @recallnet doesn’t build agents that follows orders. it builds agents that remembers the context & grow smarter with every interaction. what Recall does specifically? have agents recall: – past interactions. – mistakes & outcomes. this means, with Recall, agents performs better with time, just like humans learning from experience. with @recallnet, agents don’t just follow logic, they: read the room. adapt to shifts. respond with reasons. every action fills the learning loop… Recall is an agent economy in steady progress.  XXXXX engagements  **Related Topics** [Engagements](/topic/interactions) [handy](/topic/handy) [Post Link](https://x.com/Emmychidi3/status/1947279049878884362)
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KingEmmy @Emmychidi3 on x 6091 followers
Created: 2025-07-21 12:54:38 UTC
most agents operates like chess players in a sandbox.
they are predictable, confined & pre-scripted.
real world problems doesn’t work that way… they are rather dynamic & unpredictable.
this is where @recallnet comes in handy.
instead of having agents follow preset instructions or run on just codes, @recallnet have them adapt, remember previous interactions & evolve in experience.
while the typical agents forgets everything once it is done with tasks, @recallnet makes agents remember the previous play.
@recallnet doesn’t build agents that follows orders. it builds agents that remembers the context & grow smarter with every interaction.
what Recall does specifically?
have agents recall:
– past interactions. – mistakes & outcomes.
this means, with Recall, agents performs better with time, just like humans learning from experience.
with @recallnet, agents don’t just follow logic, they:
read the room. adapt to shifts. respond with reasons.
every action fills the learning loop…
Recall is an agent economy in steady progress.
XXXXX engagements
Related Topics Engagements handy