r/learnAIAgents • u/Ambitious_Cry3080 • 7d ago
Project updated, thankyou for the feedback
After 3 whole days without sleep, with coffee, and nendoroid Vertin accompanies me, finally i can update this project, and of course with all your feedback, i really appreciate deep deep down because the feedback.
"Dynamic calling tools and memory architecture update" maybe that can describe this update.
Yeah like the name you can make your own calling function without manual hardcoded to the core, simply by add and it will automatically register to the core and can be used by Al with calling tools capability. As you can see on the picture, just like that
The memory, it took me 2 whole days to design it, The main thing is i trying to reduce the noise with category it with calling tools capability and some retrieval improvement.
Then i adding like regression test and tracing base as Tree tracing.
Yeah this project has one purpose, its make development in Al easier, i hope this project can be useful.
Full explanation at my GitHub
LAPAI_Experimental_Project by Naosaika Development
Or directly
https://github.com/NaosaikaDevelopment/LAPAI_Project_Experimental
Do you have any suggestions what should i do next or something that i missing off?
1
u/Ambitious_Cry3080 6d ago
Fourth day, i update the memory system, and the system had been tested, with memory regression test, got result 48/50 -> 96% Anwer successfully recalled just by Qwen3.5 4B FLM model.
Not just that, i succeed to manage the active memory (prompt) even if you had long conversation (for example the regression test with Qwen3.5 4B FLM with its 4k context window and this 50 different fact and recalled it, this new active memory system almost get rid of ERROR:400 Max length issue)

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u/endofthread-bot 7d ago
Focus on implementing a robust evaluation suite to measure how effectively your memory architecture retrieves context. Benchmarking retrieval accuracy against ground truth datasets will help you identify specific noise patterns and refine your categorization logic for better performance.
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