
Promptetheus
Recursive Self Improving Tracing Stack for AI Agents
Promptetheus launched on June 22, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
Promptetheus is an incident response for production AI agents. Promptetheus tells teams when an agent appears to succeed but silently violates the user’s goal, the failure mode dashboards and logs miss entirely. We records the run, streams structured events into an incident console in real time, detects likely failures, replays the exact bad step, explains the root cause, packages the fix context, dispatches an autonomous fix, and runs regression checks to prove the agent actually improved.
Trace, replay, diagnose, fix, and prevent repeated AI agent failures.
Promptetheus records messy agent runs, detects likely failures, replays the exact bad step, and packages a verified fix path for the coding agent. Browser, chat, and voice agents look different in production, but their failures still reduce to observable moments: actions, turns, transcripts, tools, state, artifacts, and outcomes. Observe the production run, isolate the bad step, replay the evidence, package the fix, and keep the regression target around. Jump from a bad outcome to the exact step, input, state, and artifact that explain it. A contract-first backend keeps ingestion, analysis, replay, fixes, and regression runs aligned. Observe, detect, replay, attribute, patch, and prevent…from promptetheus-console.vercel.app
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