AI Agent Memory and Data control app output [530]

💬┃General
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:one: What’s the feature?
:bulb: 1. The agent should have a memory of its own that can be populated so it can remember the past runs or interactions, so it can be trained, and users can get better results out of it.

  1. Data Control actions/app should have the functionality to run individually, so users can test and see the output they will be getting, instead of testing/running the entire workflow. The AI in data controls also needs to be refined. Just an example. I ran the word count function, and it returned 7 words, and my input just had 2 words.

:two: What’s the goal?
:dart: 1. This will help train the agent accurately and get better results from it.

  1. It will make sure that the user can test and see the output they will be getting.

:three: Why is it important?
:fire: It saves time. Improves the quality of the automation and builds trust in using native modules.

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It looked like memory was working, but it was workign in a bad way.

Once it was incorrect once, it would remember it like it was a good thing and keep being wrong after that,.

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