If your agent framework can't tell you how it restarts a crashed agent, it doesn't have a runtime. It has a script. RustyAI ships restart policies, circuit breakers, health checks, and sandboxing by default.
An agent that "reasons" by re-prompting an LLM in a loop isn't reasoning. RustyAI gives agents a real belief base, forward-chaining inference, and utility-ranked goals, BDI cognition, not a longer system prompt.
Most "AI agent frameworks" are a Python script with a system prompt and a for-loop. RustyAI is actual infrastructure: typed messaging, cognitive architecture, coordination patterns, and a supervised runtime. Built in Rust, not duct tape.
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RustyAI has been in development for 8 months and just entered Phase 2 - stabilization. Core crates compile and work today; API review, tests and docs are what's left before 1.0.