R1

Curriculum Agent Patterns · 1/5

ReAct

Simulated · deterministic GitHub

Thought → Action → Observation

ReAct Agent Pattern

Bounded iteration loop with tool grounding — pick a scenario, watch the trace, read simulated metrics.

Run scenario

Metrics are simulated from the deterministic stub — not live LLM usage. Teach the pattern here; run open-ended work in VAP / OmniForge.

Steps

Tool calls

Stop reason

Latency (sim)

Run the system

This repo teaches one pattern. Compose it into a governed multi-agent OS or multimodal platform.