Top 10 Free Chatbot Platforms That Actually Work (2025 Update)
Looking for a free chatbot platform that gives you full control and flexibility?
Open-source chatbots are powerful AI-driven messaging systems designed to simulate human-like conversations across websites, apps, and social media.
What makes them special? The source code is completely open, meaning developers can modify, enhance, and customize the chatbot to match their exact needs.
This open-access approach fuels transparency, innovation, and collaboration, helping developers build smarter, faster, and more efficient chatbot solutions.
By leveraging community-driven improvements, open-source chatbots not only improve software quality but also accelerate your learning of modern AI frameworks and automation tools.
In 2025, there are dozens of incredible open-source chatbot platforms available, but choosing the right one depends on your tech stack, preferred programming language, and how leading companies are deploying similar solutions.
Below, we’ve rounded up the 10 best open-source chatbot platforms of 2025, each with unique features, integrations, and advantages you don’t want to miss!
Helloyubo — Free Chatbot for Website
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.
Botkit
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
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.
Read More: https://helloyubo.com/the-best-free-chatbot-platform/
Originally published at https://helloyubo.com on October 22, 2025.
