BlickState
AI Agents: Stop guessing why they fail. Rewind memory.
BlickState launched on January 6, 2026 with 5 votes, #3,400 of 14,584 launches that month and more than 75% of that year's launches.
What it does
Stop guessing why your agents failed. Restore memory state to the exact millisecond of failure — inspect variables, check objects, and debug like you're in a Jupyter notebook at the moment of crash. Agent tool execution is a blackbox. LLMops / tracing only logs inputs and output, not state. Code runs in secure VMs — Your functions execute in isolated Firecracker microVMs with automatic checkpointing Add @tool decorator — Mark functions that should run in BlickState's secure environment
When your AI agent crashes, time-travel back to any checkpoint and inspect variables exactly as they were. No more re-running 20-minute workflows.
Stop guessing why your agents failed. Restore memory state to the exact millisecond of failure — inspect variables, check objects, and debug like you're in a Jupyter notebook at the moment of crash. We've all been told that LLMops is about 'Observability.' But lately, observability has become a synonym for just 'Logging.' We log the inputs and the outputs. But when you are building agentic workflows in a sandboxed tool execution environment, logs aren't enough. BlickState changes the fundamental unit of agent tool call tracing. Instead of just logging text, we capture the entire memory of the agent tool execution. We run these tools on Firecracker VMs, allowing us to take low-overhead…from blickstate.com
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