> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/using-flowise/agentflowv1.md).

# Agentflow V1 (Deprecating)

Learn about how to build agentic systems in Flowise

## Introducing Agentic Systems in Flowise

Flowise's Agentflows section provides a platform for building agent-based systems that can interact with external tools and data sources.

Currently, Flowise offers two approaches for designing these systems: [**Multi-Agents**](#user-content-fn-1)[^1] and [**Sequential Agents**](#user-content-fn-2)[^2]. These approaches provide different levels of control and complexity, allowing you to choose the best fit for your needs.

<figure><img src="https://823733684-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F00tYLwhz5RyR7fJEhrWy%2Fuploads%2Fgit-blob-56f8781222e3084750ed1f4b427092016139094b%2Fagentflow.png?alt=media" alt=""><figcaption><p>Flowise APP</p></figcaption></figure>

{% hint style="success" %}
This documentation will explore both the Sequential Agent and Multi-Agent approaches, explaining their features and how they can be used to build different types of conversational workflows.
{% endhint %}

[^1]: **Multi-Agents**, built on top of the Sequential Agent architecture, simplify the process of building and managing teams of agents by pre-configuring core elements and providing a higher-level abstraction.

[^2]: **Sequential Agents** provide developers with direct access to the underlying workflow structure, enabling granular control over every step of the conversation flow and offering maximum flexibility for building highly customized conversational applications.


---

# Agent Instructions
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