Agent Run Replay Sandbox
Records real agent runs in production and replays any failed run locally with the exact recorded inputs and mocked tool responses, so a one-off failure can be reproduced deterministically and fixed instead of guessed at.
- Target market
- Solo and small-team developers running LLM agents in production (support bots, research agents, workflow automations) who cannot reliably reproduce intermittent failures.
Problem snapshot
What this solves
Agents fail non-deterministically. A run that worked 99 times mangles the 100th, the user reports it, and the solo dev cannot reproduce it because the model is stochastic and the external tools (search, DB, third-party APIs) returned different data in that moment. So they sprinkle print statements, rerun blind, and hope it happens again. There is no 'git…
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