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Paper · arXiv

Minimal Local Simulation Foundations for LLM- and VLM-Driven Agents in 2D and 3D Environments

Large language models (LLMs) and vision-language models (VLMs) are expanding the range of behaviors that can be represented in agent-based simulations, but many contemporary platforms are difficult to study, modify, or run on ordinary computers. We present two intentionally minimal simulation foundations for education and rapid prototyping. SD-AgentFoundry-2D provides a two-dimensional multi-agent environment in which locally hosted LLM agents move, communicate, respond to place occupancy, and encounter spatially localized fire events. SD-AgentFoundry-3D provides a three-dimensional digital-twin environment in which a locally hosted VLM receives first-person images and produces natural-la...

AuthorsRyuki Hyodo
Primary categorycs.MA
Published24 August 2026
Last updated at source24 August 2026
cs.MAcs.AI
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