3. Main Interface

The main window is divided into functional areas:

4. Dashboard

The Dashboard provides a bird's-eye, real-time view of the health of your agent ecosystem. It consolidates critical metrics so you can proactively monitor efficiency and operational performance.

On the Dashboard, you will find fundamental indicators such as:

5. Creating an Agent

Empty Project

This option allows you to create the basic structure of a LangGraph agent from scratch or integrate Curator with existing code. By selecting a folder that already contains a LangGraph project, Curator acts as an RPA robot, providing the execution interface, log monitoring, and graph visualization for your external code.

1. Click File → New Project (Ctrl + N)
2. Fill in the Name, Path, and Description fields
3. Click "Create Project"

After creation, you will have access to the detailed project settings, where you can define specific execution parameters and behavior for your agent.

Predefined Agents (Document Processors)

Curator includes specialized templates for PDF processing with AI, or custom RPA robot on a solid and scalable structure:

6. Editing an Agent

Editing settings of an existing project:

1. Select the project in the list on the left
2. Click on the menu (...) that appears next to the project name
3. Select "Edit" or "Settings"

For PDF agents, you can modify the prompt, model, validation, and columns.

7. Executing and Monitoring Agents

Start the execution and follow the logs in real-time on the Execution tab.

8. Graph Visualization

Analyze the structure and flow of your agent dynamically on the Visualization tab.

The main highlight of this tab is the ability to track the flow in real-time. Through fluid animations, Curator highlights exactly which node or step the agent is processing at that moment, allowing unprecedented observability over your LangGraph code execution.

9. Jobs

The Jobs section is the heart of Curator's monitoring. This is where records of all executions performed by your agents are stored. You can track the progress of each task and access the complete interaction history.

Each Job has a status that indicates the operation's result:

10. Triggers

Triggers allow you to automate the triggering of your agents based on external events or time schedules. With them, your agent no longer depends on manual execution and starts operating autonomously.

You can configure different types of triggers, such as Webhooks for integration with other systems, or Schedules (CRON) for tasks that should occur at regular intervals.

In the configuration interface, you define the activation rules, the input parameters that the trigger will send to the agent, and monitor the firing history of each trigger.

14. Logs and Execution History

The Logs tab maintains a complete history of all executions, allowing filtering by project, text search, and export.