---
title: "Agentic Patterns"
weight: 20
summary: "Common architectural patterns for building reliable agents."
description: "Learn about ReAct, Plan-and-Solve, and Multi-Agent Orchestration."
difficulty: "advanced"
topic: "agentic-ai"
estimatedTime: "45 mins"
---

# Agentic Patterns

Single-loop agents are powerful, but complex tasks often require structured patterns or multiple agents working together.

## Learning Objectives

1.  **Understand ReAct**: The foundational pattern of Reason + Act.
2.  **Explore Multi-Agent Systems**: How agents collaborate.
3.  **Model Orchestration**: Supervisor vs. Hierarchical flows.

## Lessons

1.  [The ReAct Pattern](./lesson-1)
2.  [Multi-Agent Orchestration](./lesson-2)

## See also

- [Grounded harness and continual learning](../../../../../docs/GROUNDED_HARNESS_AND_CONTINUAL_LEARNING.md) (repo doc): how `sruja agent loop` combines autonomous coding with an independent deterministic grader.
- [Domain schema and context graphs](../../../../../docs/architecture/domain-schema.md) (repo doc): `schema` blocks, default architecture kinds, nesting, and how `sruja lint` enforces the graph.
