Two open-source SDKs built around one belief — the biggest AI problems in production are not model problems. They are runtime problems.
// open source sdks Start lightweight, go deeper when you need to. Both are free, open source, and production-ready.
A 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.
A 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.
// side by side
| Feature | ALGOgent Runtime | Adaptive Runtime ★ |
|---|---|---|
| Target use case | Automation, simple AI pipelines | Long-running AI systems and automation workloads |
| Execution model | Synchronous | Full async (asyncio) |
| State persistence | JSON file | SQLite (async) |
| Checkpoint recovery | Built-in | Built-in |
| Confidence scoring | Basic | Adaptive (decay + history) |
| Context engine | — | Risk + stability analysis |
| Decision engine | — | Rule-based action selection |
| Event bus | Sync pub/sub | Async pub/sub |
| Structured logging | Color-coded | |
| Setup complexity | Zero config | Minimal (pydantic, aiosqlite) |
| GPU required | Never | Never |
| Runs on $5 VPS | Designed for it | |
| License | MIT | MIT |
// real world experiments These SDKs are not theoretical concepts.
The following examples were executed using real Python code and runtime scenarios.
A third-party Gmail automation script was executed through ALGOgent Runtime without modification.
The same automation workflow was executed after removing Gmail credentials.
Multiple runtime events were injected into the system to observe contextual decision making.
// open development Stateflow Labs is developed openly on GitHub.
Every feature, experiment, and iteration is visible to the community.
// runtime philosophy