Hi HN, I've been exploring a different problem space from AI agents and LLM frameworks. Many tools focus on prompts, orchestration, and model capabilities, bu

Hi HN, I've been exploring a different problem space from AI agents and LLM frameworks. Many tools focus on prompts, orchestration, and model capabilities, but production systems often fail because of runtime issues: retries, state loss, failed jobs, crashes, and recovery. I built ALGOgent Runtime SDK, a lightweight Python toolkit that adds: - Retry engine - Backoff strategies - State persistence - Checkpoints - Event bus - Logging - Metrics The goal is simple: make automation scripts and AI workflows more resilient without requiring cloud services, GPUs, or heavy dependencies. Project page: https://stateflow-dev.github.io/algogent/ https://stateflow-dev.github.io/algogent/ I'd appreciate feedback on the concept and whether this is a problem developers actually experience in production.