BlickState: AI Agents: Stop guessing why they fail. Rewind memory.

Thanks for visiting my page. I built BlickState due to my own frustration working with existing LLMOps solutions for tracing. LLMOps basically just logs inputs/outputs. This was fine for GenAI v1 for simple prompts / summarisations. However we are now in the next phase of Agentic AI where there are multiple tool calls and multiple Agents. Rather than spending a day digging through traces to pinpoint a tool call execution failure or a context pass failure between agents, I wanted something intuitive to what data scientists would commonly use within a Jupyter notebook or RStudio whereby the memory state (variable objects) are present and inspectable leading to faster resolution times in agent debugging. I launched BlickState (technical preview) to see if there are others who are building agents with existing LLMOps/tracing platforms are experiencing similar problems.