## The Technology Architecture for Agentia World

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This diagram represents the technology architecture for an "Agentic Application" in the envisioned "Agentia World":

1. **Agentic Application**: The environment where agents operate, facilitating their interactions and task execution.

2. **Agent**: The central AI or system coordinating activities, interacting with sub-agents and external blackbox agents.

3. **Sub-Agents**: Specialized agents within the Agentic Application, communicating with the main Agent and each other to handle specific tasks, indicating a modular structure.

4. **Agent Framework**: A foundational layer (in yellow) providing the structure and protocols for agent operations, including libraries or rules for cohesive functionality.

5. **LLM (Large Language Model)**: Highlighted in green, the LLM powers the agents' intelligence for natural language processing, decision-making, and task execution. It’s integrated within the Agent Framework.

6. **MCP (Model Context Protocol)**: MCP is a protocol that manages the context and state of the LLM during interactions. It facilitates the exchange of contextual data (e.g., /resources, /tools) between the Agent Framework and external systems, ensuring the LLM maintains relevant context for tasks.

7. **Resources/Tools**: External inputs (e.g., /resources, /tools) accessed via the MCP. These could include databases, APIs, or services that agents use, with the MCP ensuring the LLM understands the context of these resources.

8. **Blackbox Agents (1 and 2)**: External agents interacting with the main Agent using the A2A (Agent-to-Agent) protocol. They likely represent third-party systems collaborating with the main Agent, with interactions like "GET agent card" indicating specific data or capability requests.

9. **A2A Protocol**: The Agent-to-Agent protocol standardizing communication between the main Agent and external blackbox agents for secure and efficient collaboration.

### Workflow Summary:
- The **Agent** delegates tasks to **Sub-Agents** within the **Agentic Application**.
- The **Agent Framework**, powered by the **LLM**, provides the operational structure. For example, OpenAI's Agents SDK, Dapr Agents, LangGraph, AutoGen, ADK, etc.
- The **MCP (Model Context Protocol)** ensures the LLM maintains proper context while accessing external **Resources/Tools**.
- The **Agent** collaborates with **Blackbox Agents** via the **A2A Protocol** for external interactions.

This architecture supports a modular, context-aware system where agents, powered by an LLM, operate cohesively using the MCP and A2A Protocols to manage interactions with external resources and agents in the "Agentia World."

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