Memory/recall database with previous experiences (successes, failures, solutions, ...)

[maciejmajek]

Is your feature request related to a problem? Please describe.
The agent can retrieve valuable information from past experiences (e.g., failures, successes, solutions, etc.) using n-shot or fine-tuning. Without the ability to train the model or search for similar problems during runtime, the agent may end up solving the same set of problems repeatedly.

Describe the solution you'd like
Database storing previous experiences.
Problem example:
There is a problem with robot's navigation. The robot can't reach the final position.
Agent reasons and finds the solution in 10 steps, which took considerable amount of time.

The problem could be added to the db as:

problem:
 title: nav2 problem, can't reach the final step
 description: ...
 solution: ...

[maciejmajek]

One of the possible solutions could rely on using external RAG vendor such as https://github.com/EmbeddedLLM/JamAIBase.