The Best Free Chatbot Platform

Free Chatbot Platform: Open-source chatbots are messaging systems that replicate a conversation between people. 

Open-source implies the original code for the program is provided openly and may easily be updated.

Open-source software leads to increased transparency, efficiency, and control via collaborative contributions. 

This helps developers produce software of greater quality while growing their understanding of the software platforms themselves.

There are several open-source chatbot software on the market nowadays. 

Which chatbot works best for you will rely on the technology and code languages you presently employ, combined with how other firms have implemented chatbots will assist you in deciding.

Mentioned below are some of the greatest open-source chatbots in 2022, and remember, they are in no particular order!


Yugasa Bot is an AI-enabled and NLP-based chatbot. 

That can converse with your visitors in a ‘human-like’ manner on any of your digital touchpoints, including websites, mobile apps, Facebook pages, Whatsapp, and more.

Allow Yugasa Bot to manage first contact with all of your web visitors while your staff focuses on more productive activities.

Yugasa Bot is accompanied by a mobile app that allows human agents to monitor all live sessions between your clients and Yugasa Bot. 

During a live chat conversation, the agent may take over or relinquish chat management at any moment.

Yugasa Bot Chatbot may be made intelligent about your company in a matter of minutes. 

Chatbots have been shown to enhance consumer engagement by 30%.

Microsoft Bot Framework

Microsoft Bot Framework (MBF) is an open-source framework for creating bots. 

The Microsoft approach is mostly code-driven and targeted solely at developers. 

The MBF allows developers fine-grained control of the chatbot creation experience and access to various functionalities and connections out of the box.

The MBF provides an astonishing amount of tools to ease the process of building a chatbot. 

It can also interface with Luis, its natural language understanding engine.

MBF cannot be regarded as totally open-source since the NLU engine it utilizes, Luis is proprietary software. 

This may concern you depending on your position to have greater control.

A downside of the NLU engine not being open-source is that it cannot be deployed on-prem. 

This again is logical from Microsoft given the MBF, and Luis is products built-in part to encourage the usage of its Azure platform.


As we have previously announced, Botkit is now part of the Microsoft Bot Framework. 

It is noted for being a code-centric platform that is straightforward for developers to utilize. 

Botkit is simply one aspect of a wider collection of developer tools and SDKs, including the Microsoft Bot Framework. 

The Bot Framework SDK provides the basis upon which Botkit is constructed. It is accessible in several programming languages!

It features a wide variety of plugins for multiple chat systems like Webex, Slack, Facebook Messenger, and Google Hangout.

Botkit has recently launched a visual conversation builder to aid with the building of chatbots, enabling people who do not have as much coding skills to become part.

Botkit utilizes Luis as its core NLU engine. However, it may be combined with other NLU engines if required.


Rasa is a bot-building framework that focuses on making chatbots using a narrative approach. 

Rasa is a well-known framework pioneer in open-source natural language understanding engines.

They concentrate on artificial intelligence and developing a platform that lets developers constantly create and enhance their AI helpers.

Instead of creating visual flows and intents inside the platform, Rasa enables developers to write tales (training data situations) meant to teach the bot.

They produced Rasa X, a suite of tools assisting developers in evaluating talks and enhancing the assistant. 

Rasa also includes numerous premium features that are accessible with an enterprise license.

Every chatbot platform needs a certain amount of training data. 

Still, Rasa performs best when given a huge training dataset, generally in the form of customer service chat logs. 

These customer support discussions are processed, structured, categorized, and finally utilized to train the NLU engine.

One possible difficulty with the tale method is that it may be difficult to anticipate what the bot will say at a particular point since no one has access to the underlying logic. 

Wit.aiFree Chatbot Platform is a chatbot framework that Facebook bought in 2015. Being open-source, you may browse through the current bots and applications made with to find inspiration for your project. features a well-documented open-source chatbot API that helps developers new to the platform get started fast.

Since Facebook owns it, is a smart option to launch your bot on Facebook Messenger. 

Facebook makes it easy to install chatbots on Messenger.

The Natural Language Processing (NLP) engine of’s chatbot architecture is powerful and competent compared to its rivals like Microsoft, Amazon, and IBM.

The SDK for is accessible in many languages like Python, Ruby, and NodeJS. effortlessly interacts with numerous platforms, including Facebook Messenger, Slack, Wearable devices, home automation, and more.

One of the negatives of this structure is that the training might be extremely arduous. 

It lacks the requisite quantity of slots and characteristics. 


OpenDialog is an enterprise-scale, conversational AI platform that debuted in 2018. 

Their clever chat engine enables users to adapt and blend as desired. The flexible NLU support implies utilizing the best AI approaches for the situation at hand.

OpenDialog also provides a no-code conversation builder that enables users to rapidly develop and experiment with talks.

The open-source and readily expandable design fosters creativity, while the reusability of conversational components across solutions makes this a platform that expands with your team.

OpenDialog’s key features include in Free Chatbot Platform

It’s capacity to do real-time STT operations.

Low memory utilization (Less than 64MB for 20,000 words)

The capacity to create N-best/Word-graph output

The ability to function as a server unit.

With this program, you may construct your conversational application effortlessly without prior knowledge of a coding language.

OpenDialog is a no-code platform created in PHP that runs on Linux, Windows, macOS. 

OpenDialog is released under the Apache License, Version 2.0.


Botanic is a react framework to develop a conversational app. It is more than designing basic text-based chatbots. 

It is developed for developers and provides a full-stack serverless solution.

It enables the developer to construct chatbots and modern conversational applications that run on various platforms, including online, mobile, and messaging apps like Messenger, Whatsapp, and Telegram.

With Botanic, you can design conversational apps that integrate the best out of text interfaces (simplicity, natural language interaction) and graphical interfaces (multimedia, visual context, rich interactivity) (multimedia, visual context, rich interaction). 

This potent combo gives a better user experience than conventional chatbots, which depend exclusively on text and NLP.

Botanic features include a battery of plugins so you can connect popular services to your project.

Botanic is written in TypeScript and JavaScript. It is developed on top of React, Serverless, Tensorflow. 

Botanic operates on Linux, Windows, and macOS. Botpress is released under MIT License.

Claudia Bot Builder

Claudia Bot Builder is an add-on package for Claudia.js that enables you to construct bots for Facebook Messenger, Telegram, Skype, Slack slash commands, Twilio, Kik, and GroupMe. 

The fundamental concept behind the open-source project is to eliminate all of the boilerplate code and typical infrastructure duties, so you can concentrate on building the truly vital portion of the bot.

Claudia will immediately set up the right webhooks for all the available platforms and walk you through establishing the access so that you can get started fast.

Claudia Bot Builder streamlines messaging operations and translates incoming messages from all the supported platforms into a uniform format so that you can manage them. 

It also automatically packages text replies into the correct format for the asking bot engine, so you don’t have to bother about formatting results for basic responses. Claudia is released under MIT License.


Tock is an open-source conversational AI platform. It is a full solution to construct conversational agents and bots. 

It does not support or rely on 3rd-party APIs.

Tock can develop stories and analytics, it has conversational DSL for Kotlin, Node.js, Python, and REST APIs, and it can connect for multiple text/voice channels: Messenger, WhatsApp, Google Assistant, Alexa, Twitter, and more. 

Tock offers toolkits for bespoke web/mobile integration with React and Flutter and gives you the flexibility to deploy anywhere in the cloud or on-premise using Docker. 


BotMan is an open-source PHP framework for chatbot creation. 

BotMan was developed to ease unique designing bots for many messaging systems, including Slack, Telegram, Microsoft Bot Framework, Nexmo, HipChat, Facebook Messenger, and WeChat.

BotMan enables you to build your chatbot logic once and link it to multiple messaging systems, like Amazon Alexa, Facebook Messenger, Slack, Telegram, or even your website.

BotMan is framework agnostic, meaning you may use it in your current codebase with whichever framework you wish. 

BotMan has an expressive but powerful syntax that lets you concentrate on the business logic, not on framework code.

BotMan includes extensive documentation, is developed in PHP, and runs on Linux, Windows, and macOS. BotMan is released under the MIT License.

Final Words

Before selecting the chatbot software you want to spend time and money in, you need to understand how you intend to utilize it and the functions necessary for that. 

One of the main benefits of open-source is that you may try the product before choosing.

While some organizations have stated various use cases for their platform, it’s not always the case. 

We strongly suggest visiting the different chatbot forums and searching for what you want to construct. 

Still, it’s an excellent beginning point to remove some rivals and potentially grasp the strengths and shortcomings.

To learn more about this topic contact our team at YugasaBot

Read More: A Guide To Metrics For Chatbot Analytics

About Bhavika Juneja

Sr. Consultant at Yugasa Software Labs - App | Web | IoT | AI
This entry was posted in Chatbot. Bookmark the permalink.