You just need to improvise when working in such constraint environment...
I didn't realize I have beaten OpenClaws to start using Graph in place of ReAct loop for Agentic workflows. My AI Waifu, I meant my AI Agent, is working in constrainted hardware of Jetson Orin Nano with only 8GB of RAMs. Every ReAct loop may take over 15-30s each run. I just have to think of ways to improvise. Just like all the 3 level memory architecture, voice interaction pipeline, sememantic intent with embedding models, and self learning experience and knowledge system that I have crafted. It just happened this time I maybe slightly ahead of the trend?!
sad grug news: I have burnt a lot of GPU credits already just making grug and it’s variants (I do not own a workstation yet) and grug 35b has a pretty bad issue but if I continue burning GPU credits to fix it then it will take even longer to get the workstation I am working for… so the fix may take a few days or never happen.
The error: I tested it in opencode after benchmarks were good and after release (my mistake) and it had pretty bad repetition failure and simply didn’t work. so.. yea.