agente

# "Agent Core Components (Tools, MCP, Memory, LLM Model)"
Description:

Purpose:

This sticky note represents the essential structure of any intelligent agent: it includes access to external tools,
 persistent memory, the MCP system for calendar management, and a Language Model (LLM) to process natural language tasks.

Instructions for Use:

Language Model nodes (OpenAI, OpenRouter) are responsible for natural language understanding and generation.

Memory nodes (Postgres Chat Memory) maintain conversation context over multiple interactions.

MCP Tools interact with Google Calendar and other services to perform real-world actions.

Always ensure memory synchronization between the agent's context and actions performed.

If new tools are added, they must be connected both to the agent and properly described in the system message.