Open-source Chatbase alternatives

AnythingLLM is an all-in-one AI application for chatting with your own documents and automating work with AI agents. It runs locally by default, lets you connect local or cloud language models, and is written in JavaScript under the MIT license. The README describes it as a way to build a private, fully featured assistant in the style of ChatGPT.

Vector databases, document processing pipelines, multi-user support and agents all come included. Newer features listed include dynamic model routing based on rules you define, automatic and user-managed memories, scheduled tasks with agent capabilities, skill selection, a no-code agent builder, MCP compatibility and multi-modal support for both closed and open-source models.

It is available as a desktop app for Mac, Windows and Linux, as a Docker version that adds multi-user access control, and as a hosted instance, and there is an open-source Android app. Administrators can control access and experience per user. It suits individuals and teams who want a private document-chat and agent workspace without much setup.

Botpress is a platform for building chatbots and AI assistants powered by large language models such as OpenAI's GPT. Its Botpress Cloud product is the main way to build and run agents, and this repository holds the open-source parts that surround it. It is written in TypeScript and released under the MIT license.

The repository contains the public integrations on the Botpress Hub that Botpress maintains, the developer tools for Botpress Cloud including the CLI, SDK and API client, examples of bots written as code with the SDK and CLI, and plugins for Botpress Studio. Developers can create their own integration from a template using the CLI and publish it to the Hub without forking the repository.

Contributions are welcome through pull requests and issues for the code in the repository, while Discord is suggested for faster responses about Cloud issues. On-premise Botpress version 12 is maintained in a separate repository, which is where problems with that version belong.

Typebot is a chatbot builder released under a Fair Source license. It lets you create conversational flows visually, embed them in web or mobile apps, and collect the results as they come in. The building blocks are meant to adapt to many business cases such as lead capture, forms and support triage.

The editor offers more than 30 blocks across bubbles for text, images, video, audio and embeds, inputs for email, phone, buttons, dates, files and Stripe payments, logic for conditions, redirects, scripts and A/B tests, and integrations with webhooks, OpenAI, Google Sheets, Google Analytics, Meta Pixel, Zapier, Make and Chatwoot. Themes cover fonts, colors and custom CSS, and analytics show drop-off and completion rates, with CSV export.

Bots can be shared on a custom domain or embedded as a container, popup or chat bubble using a native JavaScript library. The app is built with Next.js, TypeScript and Tailwind CSS. An official managed service is available, and the project can also be self-hosted. APIs are provided for developers.

WebWhiz lets you build an AI chatbot that knows your product by training ChatGPT on your website's data. You enter your website URL, WebWhiz fetches and prepares training data, builds the chatbot and gives you a short script tag to embed it on your site. It is aimed at small businesses and support teams that want instant answers for customers without writing code, and the project describes the builder as no-code.

The core features listed are easy integration, data-specific responses, regular data updates, a no-code builder, chatbot customization, fine tuning and offline messages. The FAQ in the README explains that the site is crawled once a month by default, that only public data available to search engines is scanned, and that plans have limits on projects, pages and tokens. When the token limit is exceeded, the chatbot stops generating AI responses and returns a predefined message.

The repository is written in TypeScript, topics include self-hosted, and the code is licensed under AGPL-3.0. A hosted version is available at webwhiz.ai, so you can either use the service or run the code on your own infrastructure.