The Ultimate Guide to AI Agent Frameworks

Introduction

In the ever-evolving world of artificial intelligence, multi-agent frameworks have emerged as powerful tools, enabling developers to create sophisticated and intelligent applications. These frameworks bring together multiple agents, each with its own specialized skills, to collaborate and solve complex problems. With the addition of user interfaces (UI), these frameworks become even more accessible and user-friendly, allowing for seamless interaction and control. In this comprehensive guide, we will explore an extensive list of 17 multi-agent frameworks with UI, providing an in-depth look at their features, use cases, and setup processes.

The Top 17 Multi-Agent Frameworks with UI

1. CrewAI

CrewAI is a popular agent-based AI framework that allows developers to quickly build AI agents and integrate them with the latest LLMs and their codebase. It is trusted by large companies like Oracle, Deloitte, and Accenture. CrewAI offers a rich set of features and functionalities, including extensibility with over 700 applications, and a no-code environment for designers to create fully featured agents.

2. Phidata

Phidata is a Python-based framework that converts large language models into agents for AI products. It works with closed and open LLMs from prominent providers like OpenAI, Anthropic, Cohere, Ollama, and Together AI. Phidata provides a built-in agent UI for running agentic projects locally and in the cloud, and it offers free, Pro, and enterprise pricing plans.

3. OpenAI Swarm

OpenAI Swarm is an agentic framework that provides pre-packaged tools and features to help developers quickly build any AI assistant. It offers a range of LLMs from OpenAI, Anthropic, xAI, Mistral, and tools like Ollama or LM Studio. OpenAI Swarm also provides GitHub examples for advanced Swarm agent use cases.

4. LangGraph

LangGraph is an agentic framework that enables developers to build AI agents using Python or React and other technology stacks. It provides pre-packaged tools and features to streamline the agent-building process. LangGraph is known for its ease of use and flexibility.

5. Microsoft Autogen

Microsoft Autogen is a powerful framework for building complex LLM applications. It offers customizable agents and flexible task execution. Autogen provides a seamless development environment and allows developers to define AssistantAgents and UserProxyAgents with specified parameters.

6. Vertex AI

Vertex AI is an agentic framework that provides a range of tools and features for building AI agents. It offers a no-code environment for designers to create fully featured agents, and it integrates with over 700 applications. Vertex AI is known for its extensibility and rich feature set.

7. Langflow

Langflow is an agentic framework that focuses on ease of use and flexibility. It allows developers to build AI agents using Python or React and other technology stacks. Langflow provides pre-packaged tools and features to simplify the agent-building process, making it accessible to a wide range of developers.

8. LangChain

LangChain is a versatile framework that connects different AI components. It allows developers to create complex AI applications by mixing and matching various capabilities. LangChain provides a range of tools and features for building AI agents, and it is known for its flexibility and extensibility.

9. GUI Agent UFO

GUI Agent UFO is a powerful dual-agent framework designed for Windows operating systems. It enables seamless interaction with applications and performs tasks efficiently. GUI Agent UFO offers a range of features, including LLM configurations, backup LLM engine support, and the ability to enhance with Retrieval Augmented Generation (RAG).

10. Vanna

Vanna is an open-source AI SQL agent that simplifies the process of generating SQL queries. It is designed to work with your database and provide accurate results. Vanna offers a user-friendly interface and efficient query generation, making it a popular choice for developers working with SQL databases.

11. AutoGPT

AutoGPT is an experimental framework that utilizes LLMs to achieve user-defined goals. It creates sub-agents</co: 0

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