Agents Design Overview

Agentic Foundry supports a variety of agent templates:

React Agent:

Designed for single-task operations, React Agents use a step-by-step reasoning process to determine and execute the appropriate actions. They are ideal for scenarios requiring precise and efficient task execution. Learn more in the React Agent Design document.

React Critic Agent:

An extension of the React Agent, the React Critic Agent introduces a dual system prompt mechanism for self-critique and improved output quality. See React Critic Agent Design for details.

Multi Agent:

Multi Agents enable collaboration between specialized agents to achieve complex objectives. They follow the Planner-Executor-Critic paradigm, ensuring tasks are planned, executed, and evaluated effectively. Detailed information is available in the Multi Agent Design document.

Planner Executor Agent:

This agent type implements the Planner-Executor-Critic workflow with enhanced system prompt structure for more granular control. See Planner Executor Agent Design.

Meta Agent:

Acting as orchestrators, Meta Agents manage and coordinate other agents to achieve high-level goals. They dynamically adapt to context and task requirements, ensuring seamless execution. Explore their design in the Meta Agent Design document.

Planner Meta Agent:

An advanced orchestrator, the Planner Meta Agent uses multiple system prompts to provide robust, adaptive, and transparent orchestration of agent-based workflows. Learn more in Planner Meta Agent Design.

Each agent template is highly customizable, allowing developers to tailor them to specific use cases, making Agentic Foundry a robust platform for building intelligent systems.

Hybrid Agent:

Hybrid Agents combine features from multiple agent types, enabling flexible workflows that leverage both step-by-step reasoning and collaborative planning. They are suited for scenarios requiring dynamic adaptation between individual and multi-agent strategies. For more details, refer to the Hybrid Agent Design document.