Show HN: StaleTrace – A temporal ledger that catches stale-state agent bugs

StaleTrace, a new tool that uses deterministic temporal logic to catch stale-state bugs in AI agents, launched on Hacker News. It reconstructs what facts were valid at the time of an agent's action, surfacing stale or conflicting state without LLM calls or graph databases. The tool generates incident reports and is currently onboarding early teams by hand.

StaleTrace When an agent fails in production, it usually isn't a reasoning bug — it acted on a fact that had already changed. StaleTrace reconstructs what was true at the time, finds the stale or conflicting fact, and generates an incident report. No LLM call. No graph database. Deterministic temporal logic. Reconstructed incident · customer 123 How it works Feed it your agent's tool calls and the facts your systems already record. It does the rest — deterministically. Replays your fact events into a temporal ledger, so every value has a window of when it was actually valid. Checks what the agent used against what was valid at that moment — surfacing stale, conflicting, or closed-account state. Produces a plain-language root cause, a blast radius, and a copyable incident report your team can act on. Why it's different No guesses, no embeddings, no second LLM to audit the first. The same inputs always produce the same verdict — which is what you want when you're explaining a production failure. The engine is ValidMemory , a zero-token temporal fact ledger. Pricing No card required yet — we're onboarding early teams by hand. Join the waitlist for a hosted workspace, or book a 20-minute walkthrough with your data. We'll only email you about early access.