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Rust & Bevy Space Economy Sim: Self-Running AI Agent Demo

Space Project Sim, an open-source Rust project on GitHub, launches a fully autonomous space economy simulation built with the Bevy engine. Ships, colonies, and markets run without human input, driven by AI agents that choose actions based on resources, trade routes, and politics.

read1 min views1 publishedJul 22, 2026

Space Project Sim, an open‑source Rust project on GitHub, launches a fully autonomous space economy simulation built with the Bevy engine. Ships, colonies, and markets run without human input, driven by AI agents that choose actions based on resources, trade routes, and politics. The simulator demonstrates how Rust’s speed and Bevy’s ECS can power a self‑running model.

The code is modular and event‑driven. Adding new agents or rules requires minimal changes. The simulation runs continuously, emitting data streams that external services can consume or that can be visualized in real time.

Q: Can I use Rust for my AI‑agent workflows?

A: Yes. Rust’s safety and performance make it a solid choice for backend services that need to handle many concurrent agents or heavy computation.

Q: How does the event system compare to n8n’s triggers?

A: The simulator’s event bus behaves like n8n’s trigger nodes, propagating events to subscribed agents. Replicate this pattern in n8n with webhook triggers or custom plugins.

Q: Is the code ready for production use?

A: The project is a demonstration. Its modular design and extensive logging provide a good foundation for production‑grade systems once hardened and tested.

Originally published on Automations Cookbook.

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