JarvisTown
Autonomous AI Developer Colony Simulation
Challenge
Creating autonomous AI agents that collaborate meaningfully without scripted workflows is an open research problem. The simulation must give each agent distinct perception, reasoning, and action capabilities while allowing emergent collaboration. Single-binary deployment with no external services requires careful architecture.
Solution
JarvisTown uses Bevy ECS for entity-component-system architecture where agents are entities with AI "brains". Each agent has perception (what is happening), reasoning (LLM calls with role context), and action capabilities. Agents live in a 2D office environment and collaborate organically when they notice tasks relevant to their role.
Results
- Single Rust binary - no external services
- 5 distinct AI agents with unique personalities
- Emergent collaboration without scripted workflows
- Bevy ECS game engine integration
- Dioxus desktop UI shell
- Leading AI model integration
System Architecture
AI colony simulation with autonomous agents collaborating on software development
AI colony simulation with autonomous agents collaborating on software development
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