Syncloop AI

This video takes you step-by-step through the App creation process — from naming your App and selecting an appropriate LLM, to configuring descriptions, understanding the App lifecycle, and visualizing App structure through Syncloop’s dynamic block diagrams. You’ll also learn how to manage Apps effectively, including how to export an App for backup or migration, and how to delete or modify existing Apps within the workspace.

By the end of this module, you’ll have a clear understanding of how Syncloop Apps work, how they organize intelligent workflows, and why they serve as the foundation for building advanced multi-agent automation solutions. This practical, hands-on walkthrough prepares you for the next module, where we will dive deeper into Agent creation and configuration.

Syncloop AI Agents are powerful, modular artificial intelligence components designed to solve complex tasks by coordinating with APIs and other agents. Built on the Syncloop platform, these agents autonomously create, call, and interact through structured APIs to perform scalable, collaborative problem-solving workflows — ideal for building intelligent multi-agent systems in real-world applications.

In this lecture, you will learn how to create and manage Teams in Syncloop AI using a practical Travel Planning and Booking use case. The session demonstrates how agents are grouped into teams within an App, how responsibilities are structured, and how Teams help organize complex automation workflows. Through a hands-on walkthrough, you’ll gain a clear understanding of how Teams improve scalability, collaboration, and workflow management. By the end of this lecture, you’ll be able to confidently design and structure Teams for real-world multi-agent applications in Syncloop AI.

In this video tutorial, we demonstrate how to connect an OpenAI Large Language Model (LLM) to an existing Manager Agent in the Syncloop AI Platform. You’ll learn how to identify an unlinked agent, configure essential LLM parameters, and successfully establish the connection. The session also shows how the LLM is automatically linked to the agent upon creation and how to start interacting with the agent through chat. This tutorial is ideal for users looking to activate and enhance agent intelligence for advanced workflows such as KYC and AML compliance using Syncloop’s multi-agent capabilities.

In this video, you’ll learn how to use the Import and Export features of the Syncloop Multi-Agent AI Platform to manage and transfer complete workspaces with ease. The session covers how to export your Syncloop environment as a structured JSON file, create backups, and export individual applications for reuse or migration.

You’ll also see a hands-on demonstration of the Import process, where a previously exported workspace is restored, including Apps, Teams, Agents, Tools, LLM and RAG configurations, Knowledge Bases, APIs, and templates. This lecture is ideal for understanding environment migration, disaster recovery, collaboration across teams, and rapid deployment of standardized multi-agent solutions.