Top 9 Popular Chatbot Development Frameworks 2025

Chatbots have become a helpful tool for businesses to guide users through services, automate tasks, and support customers. To build these bots, teams must use chatbot development frameworks that provide the tools to create and manage chatbots across websites, apps, and messaging platforms. 

This article selects the 9 most popular chatbot development frameworks that are simple to use for businesses. These platforms can help you get started and grow further, whether your business is a huge company or a small online store.

Before going into detail, you should have an overview of the 8 frameworks listed in the table below.

Microsoft Bot Framework

Microsoft Bot Framework is a suite of tools for developers to develop chatbots that work across a lot of different communication channels. It is a good choice for businesses that utilize Azure or Microsoft 365 because it works well with Microsoft's products.

Businesses can use this framework to make internal support bots, customer service assistants, and productivity solutions that run inside their existing systems. Due to its adaptability with Azure Bot Services, it can easily link bots to other cloud services, keep track of them, and grow them.

Key highlights:

• Multichannel Integration: Use one codebase to deploy the chatbot across platforms like Microsoft Teams, Slack, or Messenger.
• Built-in Language Understanding: Azure Cognitive Services offers NLP features such as figuring out what you want to say and answering your questions. 
• Grows Safely: It was made with companies in mind, so it makes sure that users can log in and that data rules are followed.
• Flexible Programming Languages: Depending on what the project needs, developers can use C#, JavaScript, or Python.

Google Dialogflow CX

Google Dialogflow CX lets businesses create chatbots that can have longer talks, as when you book a service or need to figure out a problem step by step. Its visual tool lets you plan chatbot responses without writing much code. Dialogflow CX is often used by businesses that need a chatbot for customer service or helping users with multiple jobs in the same chat, not just simply answering questions.

Key highlights:

• Visual Flow Builder: You can drag and connect steps to make chat flows that are easy to follow.
• Effective at Understanding Language: It uses Google's smart language technology to figure out what people mean, even if they type quickly or mistakenly.
• Take Notes: It remembers what people said earlier in the conversation, so it can give the right answer later.
• Multiple Platforms Supported: You can use the same chatbot on websites, apps, and customer support systems. 
• Works with Google Cloud Services: Makes it easier to connect with other tools like databases, storage, or background tasks using Google Cloud.

Rasa

Rasa is an open-source tool that lets you build chatbots with full control. It’s often used by developers who want to run the bot on their own servers and keep user data private. You can train the bot with your own examples and change how it works by editing the code. This makes Rasa a good choice for projects that need something more flexible and secure, like in banks, hospitals, or internal support systems.

Key highlights:

• Custom Language Understanding: You can teach the bot how to understand specific words or phrases used in your business.
• Runs on Your Servers: No need to send data to outside services, you control where everything is stored.
• Flexible Chat Flows: Build simple or complex conversations depending on your needs.
• Helpful Community: Lots of guides, tools, and support shared by other developers.
• Fully Open Source: Free to use and change however you like.

Amazon Lex

Amazon Lex is a tool from AWS that helps you build chatbots and voice assistants. It uses the same tech as Alexa and works well with other AWS services, so it’s a good fit for teams already using Amazon’s cloud. 

This framework understands both speech and text, and it’s often used for customer support, booking, and other tasks that need voice or chat. Many businesses use it in call centers or support systems because it’s easy to set up, scale, and manage within AWS.

Key highlights:

• Built-in Speech and Text Support: Understands voice and text input with automatic speech recognition.
• Natural Language Understanding: Can detect the user’s intent and pick out key information from what they say.
• AWS Integration: Connects easily with Lambda, CloudWatch, DynamoDB, and other AWS tools to run backend logic or store data.
• Scalable and Secure: Runs on AWS, so it’s built to handle many users at once and follow security standards.
• Pay-as-You-Go: No upfront cost, you only pay based on usage.

IBM Watson Assistant

IBM Watson Assistant is a chatbot platform for businesses that want smart features and more control. It helps teams build chatbots that understand natural language and respond clearly on websites, apps, or messaging platforms. 

Many large companies use it in banking, healthcare, and customer service, where the chatbot needs to handle a lot of questions and work with other systems. It’s a good choice for businesses that need reliable artificial intelligence (AI) and a platform that can grow over time.

Key highlights:

• Pre-Built Content: Comes with ready-made answers and dialog examples to help teams get started faster.
• Visual Dialog Editor: Lets you build and adjust chat flows using a simple interface without needing to write code.
• Watson Discovery Integration: Can pull information from documents or websites to give more complete answers.
• Multi-Channel Support: Works on websites, mobile apps, voice assistants, and messaging platforms.
• Enterprise-Level Tools: Offers advanced control over data, performance, and security settings.

Kore.ai XO Platform

Kore.ai XO Platform is a no-code/low-code tool that helps businesses build chatbots quickly without advanced programming skills. Larger businesses often use it for HR support, customer service, or IT helpdesks. It comes with ready-made themes that help teams get started faster. The platform operates across websites, apps, and messaging channels, making it ideal for teams who want to quickly design smart chatbots and use them across the business.

Key highlights:

• No-Code/Low-Code Builder: Teams can design chat flows using visual tools without writing much code.
• Advanced NLP Engine: Understands what users say and picks out important details to respond accurately.
• Prebuilt Bots: Includes templates for banking, healthcare, insurance, and other industries.
• Omnichannel Deployment: Bots can be used on websites, mobile apps, voice assistants, and messaging platforms.
• Enterprise Features: Offers tools for analytics, user management, and data privacy.

Tidio

Tidio is a live chat and chatbot tool made for small businesses, especially online shops. It helps answer questions, manage orders, and send quick updates automatically, while still letting you chat with customers in real time when needed. It’s easy to use, even without coding skills, and works well with popular website platforms. Tidio is a good choice for small teams that want to save time, improve support, and stay connected with customers, even outside business hours.

Key highlights:

• Live Chat & Chatbot in One: Let you chat with customers while also using automation for common questions.
• Drag-and-Drop Builder: Create chatbot flows using a visual editor without writing code.
• E-commerce Integration: Connects easily with Shopify, WooCommerce, and WordPress.
• User Tracking: See what visitors are doing on your site in real-time to offer help at the right moment.
• Multichannel Support: Use Tidio on your website, Messenger, Instagram, and email.

Landbot

Landbot is a no-code chatbot tool made for websites. It works well for lead acquisition, surveys, and sign-ups. Marketing and sales teams commonly utilize it to get leads, ask questions, or help people through easy procedures. 

Landbot functions like a conversation on web pages but acts more like an interactive form to help people make choices and share information. It's ideal for organizations that want to add interactivity to their site without employing complicated tools. 

Key highlights:

• Flow-Based Chat Editor: Build chatbot logic using a simple visual interface.
• Interactive Design: Chatbots look and feel more dynamic, making them ideal for landing pages and lead capture.
• No Coding Needed: Easy for marketers and non-developers to use.
• WhatsApp Integration: Send automated messages and run campaigns on WhatsApp.
• Custom Branding: Change colors, logos, and styles to match your website.

OpenDialog

OpenDialog is an open-source platform for building chatbots that handle complex conversations. It lets developers control how the bot understands and responds by planning each part of the chat. This makes it easier to manage context, switch topics, and guide users through different paths. It’s a good choice for advanced projects where the conversation needs to change based on user actions.

Key highlights:

• Conversation Modeling Engine: Helps design detailed conversation flows that go beyond simple Q&A.
• Intent-Driven Design: Bots respond based on what the user wants, not just what they say.
• Flexible Architecture: Developers can customize how the chatbot thinks and acts.
• Open Source: Free to use and fully customizable for any project.
• Good for Complex Flows: Works well in apps where the chatbot needs to manage multiple steps or tasks.

Criteria for Selecting a Chatbot Framework

Choosing a chatbot framework depends on your technical needs, long-term plans, and how the chatbot will be used. The points below can help guide your decision:

• Scalability and Performance: A good framework should be able to handle growing traffic and complex tasks without slowing down. This is especially important for businesses expecting a large number of users or future expansion.
• Ease of Integration and Customization: Look for frameworks that work well with your existing tools, such as CRMs, APIs, or databases. Customization options also matter if you want to fine-tune how the chatbot behaves or looks.
• Support for NLP and AI Capabilities: If your chatbot needs to understand free-form text, detect intent, or extract data from messages, strong NLP support is essential. Some platforms have built-in tools, while others let you connect to third-party services.
• Community Support and Documentation: Clear setup guides, sample projects, and active forums can make development faster and smoother. A strong developer community also means the platform is more likely to be regularly updated.
• Cost Considerations: Frameworks can range from completely free (open-source) to pay-as-you-go models. It's important to match the pricing with your usage volume and long-term goals to avoid unexpected costs.

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Conclusion

Picking the right chatbot development framework depends on what you need and how your team works. Some platforms are better for large systems with complex logic, while others are built for quick setups and small business use. 

The 9 frameworks above offer a solid mix of flexibility, smart features, and ease of use. With the right platform, building a chatbot doesn’t have to be too difficult. It can save you time, help you stay available to customers, and improve how they interact with your business.

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