{"slug": "built-a-runtime-layer-so-automation-scripts-and-ai-systems-don-t-forget-state", "title": "Built a runtime layer so automation scripts and AI systems don't forget state", "summary": "Stateflow Labs has released two open-source Python SDKs, ALGOgent Runtime and Adaptive Runtime, designed to solve state persistence and recovery problems in AI and automation systems. The lightweight ALGOgent Runtime provides synchronous retry logic and checkpoint recovery without external services, while the full async Adaptive Runtime adds SQLite-based state persistence, confidence scoring, and crash recovery for production AI workloads. Both SDKs run without GPU or cloud dependencies and are available under MIT license on GitHub.", "body_md": "Two open-source SDKs built around one belief — the biggest AI problems in production are not model problems. They are runtime problems.\n\n// open source sdks\n\nStart lightweight, go deeper when you need to. Both are free, open source, and production-ready.\n\nA self-contained SDK for building resilient automation scripts and AI pipelines. Synchronous, plug-and-play, zero configuration. Drop it into any Python project and get retry logic, state persistence, checkpoint recovery, and confidence scoring without any external services or async overhead.\n\nA full async runtime intelligence layer built for production AI systems that need to survive real conditions. Five core engines work together to analyze context, score confidence, make decisions, persist state to SQLite, and recover from crashes automatically — without GPU, without cloud, without heavy ML frameworks.\n\n// side by side\n\n| Feature | ALGOgent Runtime | Adaptive Runtime ★ |\n|---|---|---|\n| Target use case | Automation, simple AI pipelines | Long-running AI systems and automation workloads |\n| Execution model | Synchronous | Full async (asyncio) |\n| State persistence | JSON file | SQLite (async) |\n| Checkpoint recovery | Built-in | Built-in |\n| Confidence scoring | Basic | Adaptive (decay + history) |\n| Context engine | — | Risk + stability analysis |\n| Decision engine | — | Rule-based action selection |\n| Event bus | Sync pub/sub | Async pub/sub |\n| Structured logging | Color-coded | |\n| Setup complexity | Zero config | Minimal (pydantic, aiosqlite) |\n| GPU required | Never | Never |\n| Runs on $5 VPS | Designed for it | |\n| License | MIT | MIT |\n\n// real world experiments\n\nThese SDKs are not theoretical concepts.\n\nThe following examples were executed using real Python code and runtime scenarios.\n\nA third-party Gmail automation script was executed through ALGOgent Runtime without modification.\n\nThe same automation workflow was executed after removing Gmail credentials.\n\nMultiple runtime events were injected into the system to observe contextual decision making.\n\n// open development\n\nStateflow Labs is developed openly on GitHub.\n\nEvery feature, experiment, and iteration is visible to the community.\n\n// runtime philosophy", "url": "https://wpnews.pro/news/built-a-runtime-layer-so-automation-scripts-and-ai-systems-don-t-forget-state", "canonical_source": "https://stateflow-dev.github.io/stateflowlabs/", "published_at": "2026-06-05 03:56:29+00:00", "updated_at": "2026-06-05 04:16:05.611913+00:00", "lang": "en", "topics": ["ai-tools", "ai-infrastructure", "ai-agents", "mlops", "ai-products"], "entities": ["ALGOgent Runtime", "Adaptive Runtime"], "alternates": {"html": "https://wpnews.pro/news/built-a-runtime-layer-so-automation-scripts-and-ai-systems-don-t-forget-state", "markdown": "https://wpnews.pro/news/built-a-runtime-layer-so-automation-scripts-and-ai-systems-don-t-forget-state.md", "text": "https://wpnews.pro/news/built-a-runtime-layer-so-automation-scripts-and-ai-systems-don-t-forget-state.txt", "jsonld": "https://wpnews.pro/news/built-a-runtime-layer-so-automation-scripts-and-ai-systems-don-t-forget-state.jsonld"}}