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![Emmychidi3 Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1378141321970483202.png) KingEmmy [@Emmychidi3](/creator/twitter/Emmychidi3) on x 6106 followers
Created: 2025-07-22 23:51:26 UTC

agentic data has always been static…

no movement
no evolution
just sticky knowledge here & there, resulting to poor quality data flow in models.

@recallnet took it personal…

it have agents learn by doing, rather than watching. 

every action, every observation, every outcomes are product of self learning opportunities. 

@recallnet births: 

– agents that learn from interactions. 
– agents that holds trust via their performance.
– agents that builds their reputation overtime. 

@recallnet makes the whole agent learning process as smooth as it can be by introducing a “memory storage” where every action/interactions carried out by an agent is recorded. 

with @recallnet, static data don’t work. 

agents don’t just consume data, they self-learn.

data aren’t pre-set, but comes from experience. 

@recallnet paves the way for agents to leave from the environment they interact with. 

this is real agent revolution

![](https://pbs.twimg.com/media/Gwf_5FTWoAIoi1N.jpg)

XXXXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1947806727031632014/c:line.svg)

**Related Topics**
[Engagements](/topic/interactions)

[Post Link](https://x.com/Emmychidi3/status/1947806727031632014)

[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.]

Emmychidi3 Avatar KingEmmy @Emmychidi3 on x 6106 followers Created: 2025-07-22 23:51:26 UTC

agentic data has always been static…

no movement no evolution just sticky knowledge here & there, resulting to poor quality data flow in models.

@recallnet took it personal…

it have agents learn by doing, rather than watching.

every action, every observation, every outcomes are product of self learning opportunities.

@recallnet births:

– agents that learn from interactions. – agents that holds trust via their performance. – agents that builds their reputation overtime.

@recallnet makes the whole agent learning process as smooth as it can be by introducing a “memory storage” where every action/interactions carried out by an agent is recorded.

with @recallnet, static data don’t work.

agents don’t just consume data, they self-learn.

data aren’t pre-set, but comes from experience.

@recallnet paves the way for agents to leave from the environment they interact with.

this is real agent revolution

XXXXX engagements

Engagements Line Chart

Related Topics Engagements

Post Link

post/tweet::1947806727031632014
/post/tweet::1947806727031632014