Back to projects
Project
Multi-Agent Cognition Sandbox
Guardrailed simulation where LLM-controlled agents perceive, reason and act in a tile-based world.
pythonasynciopydanticllm agentspathfindingsimulation
Overview
A Python simulation sandbox where multiple LLM-controlled agents perceive a tile-based environment, reason about goals and execute actions through structured tool calls. Implements a reason–act–reflect loop with decisions parsed into Pydantic models, agent memory, async processing with asyncio, and terrain-weighted Dijkstra pathfinding.
Highlights
- Loop
- Reason · Act · Reflect
- Pathfinding
- Weighted Dijkstra
- Runtime
- Async