Nowadays, the use of Chatbots has evolved, and now you can see them in use on any social media platform like Telegram, Hangouts, Facebook, Slack, or your website.

Creating effective and powerful Customer Loyalty Management (CRM) takes a lot of effort and time. Chatbot helps you scale and balance your business cycle and maintain the CRM routine like a pro.

Since AI Powers and Controls all this, it perceives and understands the language unequivocally and responds perfectly to the opposite person as if a living person is talking to you and instantly gathers all the information and data you need from your existing customers.

Businesses receive a large number of customer inquiries every day. It becomes challenging to handle all these queries effortlessly. So here is an alternative. AI chatbot development frameworks can save your day! For many businesses, chatbots have now become essential to providing smooth customer service and efficient global operations.

According to recent research, it was predicted that chatbots would handle over 85% of consumer interactions by 2021. However, despite the multiple benefits of developing and using a chatbot for businesses, many available development frameworks can confuse and frustrate the new entrepreneur looking to design conversational UX.

With the latest updates and consistent releases, several AI chatbot development frameworks are fighting for the best place. However, two factors help you determine whether a chatbot is worth the investment or not: one is increased efficiency, and the other is time-saving.

We've listed the ten best AI chatbot frameworks to help you choose the best one for your business needs. Let's jump in!

Microsoft Bot Framework

This Microsoft Bot Framework is a set of powerful tools, services, and SDKs that provide a solid foundation for developers to build and connect intelligent bots. This framework is ideal for developing enterprise-level conversational AI experiences.

Microsoft Bot Framework connectors allow you to deploy chatbots to apps, websites, Microsoft Teams, Cortana, Facebook Messenger, Skype, and more. It has two main components: BotBuilder SDKs and Channel Connectors. Channel connectors allow you to connect the Chatbot to other messaging channels. In addition, the Bot Builder SDK account contains several templates and code samples that instantly help developers get started with chatbot development.

Dialogue flow

Dialogflow is a conversation platform that lets you design and builds chatbots and other voice applications. It is powered by machine learning from Google and can connect users on major messaging channels like Facebook, mobile apps, Amazon Alexa, Google Assistant, Twitter, Messenger, etc.

Dialogflow is the most beneficial tool for generating omnichannel chatbots with minimal coding. It runs on the Google Cloud platform and can be scaled to serve hundreds of millions of users. In addition, Dialogflow is user-friendly and supports over 20 languages ​​, and is probably the best framework for developing NLP-based applications.

Wit.ai

Wit.ai is an open-source natural language processing API. It allows developers to create devices and apps that users can talk to. So, for example, you can generate text or voice bots that humans can speak to with their favorite messaging platform.

Wit is free for all commercial use. It is an NLP platform that allows developers to configure intents and entities. For example, developers can use the HTTP API to connect the wit.ai to your Chatbot or other apps. This Wit.ai provides the SDK in Python, Node.js, and Ruby.

Amazon Lex

Amazon Lex is a framework for building conversational interfaces in any application using text and voice. Amazon Lex is the same technology that powers Amazon Alexa. Amazon Lex automatically scales as a fully managed service, and you don't have to worry about managing infrastructure.

You can build, test, and deploy your chatbots immediately from the Amazon Lex console using this Amazon Lex. Amazon Lex bots can be published to messaging platforms such as Slack, Facebook Messenger, Twilio SMS, and Kik. In addition, Amazon Lex provides SDKs for iOS and Android to build bots for your mobile apps.

BotMan

BotMan is another most successful chatbot development framework for PHP. In addition, there are different chatbot development tools for Python, Node Js, Java, C #. BotMan helps you publish your Chatbot to the following channels: Hangouts Chat, Facebook Messenger, Cisco Spark, Microsoft Bot Framework, HipChat, Telegram, Slack, WeChat, and Twilio.
BotMan is the only PHP framework that helps developers build a chatbot using PHP. In addition, BotMan comes with a custom chat widget that you can directly use to add a BotMan powered Chatbot to your website.

BotKit

Botkit is an open-source chatbot framework acquired by Microsoft and is considered the best developer tool for building chatbots, apps, and other custom integrations for major messaging platforms. It runs on a natural language processing engine from LUIS.ai and integrates open-source libraries.

BotKit helps publish chatbots to messaging channels like Microsoft Teams, Slack, Cisco Jabber, Cisco Webex, Google Hangouts Chat, Facebook Messenger, Microsoft Bot Framework. Botkit additionally provides a web chat plugin that you can install on any website. Thus, BotKit can be used simply with all major NLP platforms.

Rasa battery

Rasa Stack is an open-source conversation framework. It has two main components Rasa Core and Rasa NLU. First is the infrastructure layer for developers to create, enhance, and use better AI assistants. Second, it is a Machine Learning Framework for automated voice and text assistants. This framework provides the tools and infrastructure necessary for contextual, resilient, and high-performing assistants.

The main advantage of using Rasa Stack is that the Chatbot can be deployed on your server, keeping everything in-house. In addition, it is a framework for dialogue management, natural language understanding, and integrations.

Pandorabots

Pandorabots offers an online web service for building and deploying chatbots. This Pandorabots uses AIML (Artificial Intelligence Markup Language) for the chatbot conversation script. In addition to premium libraries and modules such as the Mitsuku module available for a monthly fee, Pandorabots also provides free and open-source libraries such as ALICE, Rosie, and Base Bot.

It recently added additional functionality in which you can design your AIML. Integration of this Chatbot is possible on various apps, websites, and other messaging platforms, Cortana, etc.

IBM Watson Assistant

IBM Watson Assistant is built on a billion-word Wikipedia neural network to create conversational interfaces in any device, application, or channel. It supports 13 languages ​​and provides an SDK for developers to build applications around Watson Assistant. It communicates quickly with bot users. You can use SDKs in Python, Java, iOS. It offers several free, standard, and premium plans. IBM Watson Assistant uses machine learning to respond to natural language input on websites, mobile devices, messaging apps, and bots.

Chatfuel

Chatfuel is a modern chatbot-building platform for creating chatbots for Facebook Messenger. It is one of the most widely used open-source platforms for Facebook Messenger-based chatbots. So far, over 350,000 bots have been built with Chatfuel.

One of the main advantages of using this platform is the simple editing tool sets that allow users to create chatbots without any prior coding experience. Additional key features include integrated analytics, provision of multiple languages ​​, and plugins for integration into Twitter, Facebook, Google, Dropbox, Live Chat, etc.

Conclusion

Since these chatbots arrived, they have helped businesses tremendously in lead generation, customer support, marketing, etc., emerging as an essential business tool. In addition, this tool lays the foundation for increased efficiency and improved customer experience.

We have listed the Chatbot frameworks above that you can choose for your business. Of course, there isn't a perfect setting, and it depends on the needs, so you need to explore them all and understand what works best for your business. Or, if you are a developer, you may be involved in learning about Chatbot development. With that said, now, if you are planning to build a chatbot for your business or business, choosing a chatbot development framework that meets all of your business requirements is essential. Pick and choose the one that works best for you and your business.