Description
Agentic AI needs more than inference — it needs file access, storage, and other capabilities that fall outside typical LLM inference or what specialized hardware like Groq LPUs provide.
NimsForest is well-positioned here. We should map how open-source agentic code works and identify where the NimsForest architecture (sources, rivers, trees, wind, nims) can augment those patterns — providing the runtime, storage, and orchestration layer that agentic AI needs.
This is a strategic exploration to define how NimsForest differentiates in the agentic AI space.
Nebula's reasoning: This was submitted as a bug but is actually a strategic feature exploration — reclassified accordingly. The project was set to cindy which doesn't match any known project; the content is clearly about the nimsforest architecture so reassigned to nimsforest2. The original title was truncated auto-generated text from the description. Rewrote both title and description to clearly frame the ask: mapping NimsForest's architectural strengths to the agentic AI space. Medium priority as this is strategic thinking, not an operational need.