<h1><a name="_72l5vqr9ru6n"></a><span lang="EN">What are the top 5 Python frameworks for AI agents?</span></h1>
<p>In the current time, AI agents are moving from experimental ideas to a fully functional system, where developers are always in need of strong tools for various purposes. This might include building, managing, and running these smart digital workers. Among the different languages, Python has become the top language for creating AI agents, with frameworks that can make the complex tasks easier, and it is still flexible.</p>
<p>There are some of the top Python frameworks that one may need to understand. Also, with the recent trends in AI, it has become a requirement that keep the business running. People with a basic knowledge of AI can take a step forward by applying it in the <strong><a href="https://www.cromacampus.com/courses/agentic-ai-course/">Agentic AI Course</a>. </strong>This course will help you learn about these frameworks for AI agents easily.</p>
<h2>Top 5 Python Frameworks for AI Agents:</h2>
<p>Here, we have discussed some of the top 5 Python frameworks for AI agents. Well, if you have already taken or are looking to apply for the same, the <strong><a href="https://www.cromacampus.com/courses/python-with-ai-course/">Python with AI Course</a> </strong>can prove valuable for the future.</p>
<h3>1. LangChain: The Industry Standard:</h3>
<p>It is one of the popular frameworks that can be used for creating apps that use large language models. Also, it helps developers in building complex AI systems such as chatbots or document processors by combining different tools, prompts, and models. Also, it is great for building custom AI apps with lots of interactions as well as flexibility.</p>
<h3>2. AutoGen: Multi-Agent Collaboration:</h3>
<p>It is created by Microsoft, designed for building systems where multiple AI agents work together. Here, the agents can communicate with each other as a team of planners, developers and reviewers who work on a task. Well, Autogen also includes AutoGen Studio, which helps teams design agent workflows without writing code.</p>
<h3>3. CrewAI: Fast and Lightweight</h3>
<p>It is one of the simplest as well as fastest frameworks for building AI agents. It is always designed for systems where the agents always need to work together as a team to complete the tasks. This framework is completely lightweight and also ideal for quick as well as autonomous agents with less complexity.</p>
<h3>4. LangGraph: Stateful Orchestration:</h3>
<p>This framework helps developers create AI agents that are best suited for remembering information and keeping a record of long-term tasks. Well, this uses a graph-based system for organizing the tasks and making sure that agents perform them in the right order. Well, it is perfect for the apps where agents need to remember things over time.</p>
<h3>5. Haystack: Production-Ready RAG Systems:</h3>
<p>HayStack is one of the powerful as well as open-source frameworks that can be used for building an AI system that can handle document processing and advanced search. It can automatically search by using the text documents or PDFs. Well, this makes it ideal for businesses that are in need of processing a huge amount of data quickly.</p>
<p>Apart from this, there is another valuable course called the<strong> <a href="https://www.cromacampus.com/courses/generative-ai-online-course/">Generative AI Online Course</a>, </strong>which can help developers gain the skills needed for using the above frameworks. With this course, one can build and deploy advanced AI agents.</p>
<h2>Conclusion:</h2>
<p>Among the several frameworks, it is hard to choose, but depending on your needs, you have to make the right selection among these options. Well, the Global AI software market is expected to grow as many of the businesses are using the Python-based AI agents for improving productivity by 25-40% in areas like operations and customer service. So your organization’s success depends solely on picking the one that fits your team’s needs.</p>