9 best open-source AI chatbot builder

Revolutionize your chatbot game with our open-source chatbot builder! Discover the top 10 frameworks and explore our amazing chatbot templates. Let’s take your chatbots to the next level!

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.

Table of content:

Chatbot Template

Discover Chatbot Design Studio

Chatbot Framework

Open-Source Chatbot

Non-Open-Source VS Open-Source chatbot builder

Greatest Open-Source Chatbot builder Frameworks

• Tiledesk
• Microsoft bot framework
• OpenDialog
• RASA
• Botpress
• Wit.ai
• Tock
• Amazon Lex Framework
• Botonic.io

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Chatbot Template

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.

On the link below, you can find some valuable chatbot templates:

Discover Chatbot Design Studio

Give this revolutionary feature a try: No code Chatbot Design Studio. Meaning? Open-source technology allows for completely customized chatbots and conversational app development. This is the only place you can find tons of new, community-built chatbots, ready to be deployed for free (in one click)!

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 open-source frameworks are a compelling feature for developers. In this article, we are publishing a list of the best open-source chatbot frameworks. If you want to know more about the chatbot, the links below would be helpful:

Open-Source Chatbot Builder

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 frequently asked questions from non-developer users. Then to solve the problem, we came up with these five solutions:

• A knowledge base place full of tutorials and documentation
• A Community Forum of Tiledesk’s experts and developers that help users in each step
• A GitHub page with all repositories
• And a developer hub as a reference for all technical feature

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.

Tiledesk

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. You can design the conversation flow entirely with a visual interface, and there is no need for coding knowledge.

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.

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

OpenDialog

Doubtless, OpenDialog would be among the best NLP (Natural language processing), allowing users to quickly design and prototype conversations. The USP of this framework is that it enables coding experience-free development of fully functional conversational bots by its machine-learning technology.
You can deploy, integrate, and teach chatbots effectively using OpenDialog. Users may adapt and combine this intelligent conversation engine as needed. You may employ the top AI methods for the given challenge thanks to the NLU technology (A technology that enables chatbots to have natural-language speech or text conversations with humans.)

GitHub source code

RASA 

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

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

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 to provide real-time responses, but as a downside, you need to know that the training process can be tough as there is much-unstated information.

GitHub source code

Tock

Another great option for free and open-source frameworks for building chatbots that supports NLP is Tock. Create intricate stories using the components offered by Kotlin, Python, or Node.js, or use Tock APIs to interact with any language. You can build up your platform to run in the cloud, on-premises, or even embedded, and Tock deploys in minutes utilizing Docker running settings.

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 (NLP engine)

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

Botonic.io

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

Start automation with the best open-source chatbot builder now

We are all aware of how important and hard it is to decide on the open-source chatbot builders; that was why we introduced some of the best. Besides all the valuable features, we support our customers at every step in different ways, like a community forum, open-source communities, developer hub, and our knowledge base with lots of tutorials.