BlickState – Rewind AI agent memory to debug failures precisely

Summary: BlickState enables restoring AI agent memory to the exact moment of failure, allowing inspection of variables and objects for detailed debugging. It runs functions in isolated Firecracker microVMs with automatic checkpointing, overcoming limitations of traditional LLMOps that only log inputs and outputs.

What it does

BlickState captures and restores the full memory state of AI agents at failure points, enabling variable inspection similar to Jupyter notebooks. It uses a @tool decorator to mark functions for execution within secure microVMs with automatic checkpointing.

Who it's for

It is designed for developers and data scientists working with complex multi-agent AI systems who need deeper debugging beyond input/output logs.

Why it matters

It solves the problem of limited visibility in agent tool execution by providing precise state inspection, reducing time spent diagnosing failures in agent workflows.