Big new memory tool with local benchmarks

NOT MINE: https://github.com/rtk-ai/icm

Knowledge retention: Agent recalls specific facts from a dense technical document across sessions. Session 1 reads and memorizes; sessions 2+ answer 10 factual questions without the source text.

Model	Params	No ICM	With ICM	Delta
qwen2.5:14b	14B	4%	97%	+93%
mistral:7b	7B	4%	93%	+89%
llama3.1:8b	8B	4%	93%	+89%
qwen2.5:7b	7B	4%	90%	+86%
phi4:14b	14B	6%	79%	+73%
llama3.2:3b	3B	0%	76%	+76%
gemma2:9b	9B	4%	76%	+72%
qwen2.5:3b	3B	2%	58%	+56%

Note that this memory tool also supports documentation, not just code search. The model agents got 10x-20x smarter because they were able to get useful info out of the documentation database before they were tested. This ability is crucial for making all AI tools smarter.

AI companies don’t want you to do this because they prefer your AI tools burning tokens on wild goose chases.