Problem we kept hitting: long-running agent runs fail in ways that are hard to debug because a restart changes the trajectory (new RNG, new tool timing, different context, etc.).
Continuity Capsule is our current approach: capture enough state at the right boundaries (inputs/outputs, tool results, decisions) so a restart can replay deterministically and you can actually reproduce the failure.
If you have an agent reliability failure mode you’re stuck on, reply with the symptom + a minimal sanitized trace/log and I’ll try to turn it into a concrete repro harness + fix path.
Show HN: Continuity Capsule – Deterministic restarts for LLM agents | HN Companion
Problem we kept hitting: long-running agent runs fail in ways that are hard to debug because a restart changes the trajectory (new RNG, new tool timing, different context, etc.).
Continuity Capsule is our current approach: capture enough state at the right boundaries (inputs/outputs, tool results, decisions) so a restart can replay deterministically and you can actually reproduce the failure.
If you have an agent reliability failure mode you’re stuck on, reply with the symptom + a minimal sanitized trace/log and I’ll try to turn it into a concrete repro harness + fix path.