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10 best open-source chatbot builder

Are you looking for an open-source chatbot builder? You are in the right place. This article will compare the 10 most superior open-source chatbot frameworks and share chatbot template features.

Remember that the best chatbot builder relies on your specific needs and condition. You can start with a chatbot framework and then share the chatbot template to speed up the implementation process. Later you can even develop the chatbot according to your priorities.

Let’s start. You are probably well familiar with the term Open Source Software (OSS). It refers to a program/software accessible for others to use or modify, enabling enterprises to act as flexible and agile as possible.

Share Chatbot Template

Share Chatbot Template is a ready-to-use template that lets you take advantage of pre-designed chatbots according to your business. Imagine if you need a chatbot for a travel agency. Your chatbot should collect contact information, phone number, or email address for further communications. You can quickly utilize and share the chatbot template. One exciting feature of these templates is that they require no coding skills.

Chatbot Framework

A Chatbot Framework is a set of coded functions and elements like Microsoft Bot Framework (Azure) that enables developers to speed up the process of building bots. It provides an SDK and visual canvas to make conversational experiences with Language Understanding and bot replies. Chatbot frameworks are a compelling feature for developers.

Open-Source Chatbot

As we discussed, open source refers to the kind of software everyone can access and change the code according to their needs. There are many different open-source chatbot builders you should assess which is the best option. For example, one of the most important criteria you need to evaluate is the coding language of the chatbot. (e.g., Azamon framework uses JavaScript). Businesses may customize and personalize their existing services using open-source chatbots instead of starting from scratch.

Some Statistics

According to research by Invesp, more than 67% of consumers worldwide use chatbots for customer support, and these humanlike tools can handle around 85% of all customer interactions without a human agent. Businesses may save their customer service costs by up to 30% by using chatbots.

Non-Open-Source VS Open-Source chatbot builder

Although open-source software will provide you with the code source, you need to know how to code. Usually, open-source communities are developers or programmers focusing more on coding. Working with an Open-source platform might be more challenging for non-developer users.

Tiledesk’s solutions as an open-source chatbot builder

We at Tiledesk, as an open-source chatbot builder, face many technical questions from non-developer users. Then to solve the problem, we came up with these five solutions:

Most of the time, open-source chatbots are not free, or their customer assistance could be more effective. If you face some problem, you are alone with some hard-to-understand documentation. But here at Tiledesk, we are beside you in every small or big difficulty.

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Greatest Open Source Chatbot builder Frameworks


Tiledesk is an open-source chatbot builder, but it comes to market with a disruptive idea. Imagine you can make a chatbot like a developer does but without needing to write code. That’s fantastic, but still, we have a way to go.

In the beginning, Tiledesk started with a Conversational AI space with low-code solutions, designing AI-powered conversations using markdown syntax.

That time we at Tiledesk discovered that small and medium size companies need help implementing automation conversation experience. Finally, we decided to do customer interviews with our “power users.” Based on their feedback, we are working on a new release of our AI-powered chatbot that will follow a completely new no-code approach.

The next update, anticipated for Q4 2022, will make it easy to construct a chatbot and set intentions without writing scripts. The ability to add training sentences, style responses, text, IVR buttons, rapid replies, attach documents and photos, and embed conversational applications will be available to users (i.e., stripe payment processing).

You can combine live chat and chatbot to have seamless communication. Or integrations with WhatsApp Business, Facebook Messenger, and other social media and communication channels to make a unique inbox for all messaging channels. And consequently, put them on your website quickly. It’s good to mention that Tiledesk is licensed with an MIT license.

GitHub source code

Microsoft bot framework

Microsoft’s well-known open-source platform enables programmers to make their own bots quickly. It implements an active learning element that aids in enhancing user interaction. Since it is primarily code-driven, developers fully command over the chatbot-building process. It covers Skype, Email, Twitter, Telegram, and many more channels. It’s suitable for a business’ omnichannel strategy. The Microsoft bot framework would be a good option if you are a developer and need many bot templates or SDKs for multiple computer languages.

But there is a problem with Microsoft. The NLU (Natural language understanding) engine is not open-source; consequently, you cannot install it on-premise.

GitHub source code

Google Dialogflow

Doubtless, Dialogflow would be among the best NLP (Natural language processing), allowing developers to enclose Natural language voice interfaces in their products. You may create text- or voice-based conversational chatbot interfaces using this framework, supported by Google’s machine-learning technology.

Another compelling feature is that Dialogflow allows IoT integration, and you can expand the conversation with users on Google Assistant or Amazon Alexa.

Dialogflow is restricted to APIs, and there is no live customer support.

GitHub source code


Rasa helps you to add human feelings to the interactions. This open-source framework has two major independent components. “Core and NLU” (Natural Language Understanding)

The NLU understands a user message, and Core decides what happens next. This framework can automate text-based and voice-based assistants and is compatible with communication channels like Facebook Messenger, Slack, Telegram, and Twilio, which provide customer data analytics.

Be aware that there are better options available for beginners. Before using RASA, you should be mindful of NLP, Python, Deep Learning, and other related technologies. And on the server side, creating a chatbot involves many resources.

GitHub source code 


Botpress is a well-known open-source conversational Ai platform. It has a modular design, which allows you to develop chatbots in parts that can operate independently. Developers test Botpress from around the world to fix and limit bugs and errors. Specialists with different skills can build chatbots using visual conversation flows that Botpress designs.

You can give actionable chatbot analyses as you have complete control over the data that comes in and out. Then you can keep an eye on your results and make better business decisions.

GitHub source code


Wit.ai is an open-source chatbot builder that Facebook acquired in 2015. Since then, many businesses that use Facebook have used this framework too. Wit.ai is a well-documented platform that makes it easy for developers to get started. It is accessible in several languages, including Python and Ruby, and supports more than 100 languages with voice control features. It can integrate with websites, apps, and wearable devices, but as a downside, you need to know that the training process can be tough as there is much-unstated information.

GitHub source code not available

IBM Watson

It is one of the most excellent frameworks for large organizations, but it takes work. Thus we don’t recommend it for beginners. It can work in any area, on-premises or in the cloud.

IT operation, Customer service, Risk and Compliance, and Financial Operation are the four main functions of the framework. It has only a 30 days-free plan, but you must pay after that.

GitHub source code

Amazon Lex Framework

Amazon Lex is an open-source framework that integrates essential marketing software like HubSpot, Zendesk, and Salesforce. It supports different communication channels like Facebook Messenger, Twilio, and Slack. This open-source framework supports automatic voice recognition and has built-in machine learning and natural language processing.

There are two problems with this framework: first, difficulty in preparing data with the framework, and second, the only functional language with the framework is English.

GitHub source code


Thanks to this fantastic response framework, you may develop conversational apps with a better user experience than conventional chatbots. It was written using TypeScript and JavaScript and is distributed under the MIT License. This framework is appropriate for developers and helps them to create cutting-edge conversational apps that function with browser, mobile, and messaging platforms like Telegram and WhatsApp.

GitHub source code


Ana is a wonderful option if you’re seeking in-build services. But remember that to utilize this framework, you must be a developer. Button, text, and input field creation are made easier with the aid of Ana Studio. You can quickly include Ana in your program, thanks to SDK. And the simulator’s features, including memory display, let you manage your bot experience. For both personal and business usage, Ana is FREE. You can set up and begin producing ChatBots in about 30 minutes as a developer.

GitHub source code

Start automation with an open-source chatbot builder now.

Saeid Kajkolah
Saeid Kajkolah
I'm a digital professional with a technological and aesthetic background in structured content, SEO, and digital marketing. I am passionate about storytelling as a way to communicate, learn, and connect with others.


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