# 9 Open-Source ChatGPT Alternatives for 2026 Oct 22, 2025 by Ronan McQuillan Since its launch in 2022, ChatGPT has transformed huge aspects of our daily lives, including in the context of business processes. However, at a practical level, many organizations still struggle to implement AI tools in a way that drives real value. Part of the issue here is that, while hugely powerful, ChatGPT isn’t always the exact right fit for the needs of large, security-conscious organizations. Today, we’re exploring one important element of this by checking out the market for open-source ChatGPT alternatives. Specifically, we’ll be covering: - [What is ChatGPT?](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#what-is-chatgpt) - [Why would you want an open-source ChatGPT alternative?](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#why-would-you-want-an-open-source-chatgpt-alternative) - [What to look for in an open-source ChatGPT alternative](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#what-to-look-for-in-an-open-source-chatgpt-alternatives) - [9 open-source ChatGPT alternatives for 2026](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#9-open-source-chatgpt-alternatives-for-2026) Let’s start with the basics. ## What is ChatGPT? ChatGPT probably doesn’t need much introduction. It’s OpenAI’s flagship AI chat tool. This is not to be confused with the underlying language models that power it, which are currently on the GPT-5 family of LLMs. It’s built around a conversational interface, which enables users to submit queries and questions via natural language prompts. The model then interprets these before generating responses based on its training data, as well as web-based sources. Because of this, it has quickly become a ubiquitous part of how users interact with information online, including taking a large slice of usage away from traditional search. In a professional context, huge numbers of workers also use ChatGPT’s generative capabilities for tasks such as drafting copy, editing emails, writing code, and more. ChatGPT’s more advanced models can even generate images and videos. Many teams also leverage ChatGPT as part of their workflow automation efforts. This can come in a few different configurations. One is utilizing `Custom GPTs`, which are essentially versions of ChatGPT that can be tweaked and customized with specific knowledge, instructions, and capabilities. Another is utilizing ChatGPT via API connections. This enables us to use ChatGPT within structured workflow automations in a consistent, rules-based manner. For instance, making a call to OpenAI’s API to perform a specific function within a wider workflow. Recently, OpenAI also introduced ChatKit, which enables teams to build agentic experiences within ChatGPT, including leveraging tool use and embedded UI components within chats. Alternatively, many AI tools within use-case-specific business platforms are themselves powered by ChatGPT. For example, ticketing bots within many ITSM platforms. To support business usage, ChatGPT also offers a range of capabilities for enterprise users, including SSO, data encryption, domain verification, admin tools, and preventing company data from being used in model training. ## Why would you want an open-source ChatGPT alternative? However, as we hinted at earlier, many large organizations have additional requirements that might preclude them from using ChatGPT internally - especially around how they store, process, and control data. At the same time, IT teams in these kinds of companies are under pressure to provide similar capabilities to their colleagues, often due to widespread usage of ChatGPT outside of IT’s governance and control. For these kinds of teams, open-source ChatGPT alternatives offer a clear path forward. One of the key issues here is controlling how and where data is stored. ChatGPT offers enterprise users the option to prevent their data from being used to train models, but many teams need to go further than this by utilizing open-source models that can be hosted on their own infrastructure. This is especially important if the chat tool we implement is going to interact with mission-critical data, which already has tight hosting requirements. Additionally, there are several key operational reasons that we might prioritize an open-source ChatGPT alternative. One is that these kinds of platforms often offer a high level of configuration, enabling us to closely tailor our solution to our specific requirements in terms of existing workflows. On top of this, there are commercial factors, such as ongoing cost management and the need to avoid vendor lock-in. To learn more about which models we might utilize, check out our guide to [open-source LLMs](https://budibase.com/blog/ai-agents/open-source-llms/). ## What to look for in an open-source ChatGPT alternative Understanding why we might prioritize open-source options, we can next move on to thinking about the specific decision points we’re likely to encounter when choosing a specific platform. Firstly, it’s important to note that these types of solutions don’t always take the form of off-the-shelf, ready-to-use tools in the way that ChatGPT itself or COTS alternatives do. Instead, we can think about these in two broad clusters: - **Chat and agent frameworks** - **Modular chat platforms** However, rather than being a clear distinction, specific platforms often exist on a spectrum between these two clusters. Therefore, it’s still vital to understand the underlying decision points that could sway us towards one option or another. Perhaps the biggest thing here is balancing the extent of customization available with how quickly and easily we can output a working solution. On top of this, we’ll likely want to consider: - **Security and governance** - **Integration depth** - **Customization and extensibility** - **Ease of implementation** - **Scalability and performance** - **Community maturity and support** - **Operational cost** - **Enterprise pricing** Importantly, there’s no one-size-fits-all approach here. Instead, in order to effectively vet and assess our options, we’ll need to have a clear idea of how each of these factors plays into our own specific requirements, in order to choose the most appropriate open-source ChatGPT alternative for our needs. ## 9 open-source ChatGPT alternatives for 2026 With a good grasp of why we might opt for an open-source alternative to ChatGPT, some of the specific forms that solutions can take, and the key decisions we’ll need to make when weighing up our options, we can move on to checking out our options on the market today. In no particular order, these are: 1. [Budibase](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#1-budibase) 2. [LibreChat](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#2-librechat) 3. [LangChain](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#3-langchain) 4. [H2oGPT](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#5-h2ogpt) 5. [Botpress](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#6-botpress) 6. [Jan](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#6-jan) 7. [LM Studio](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#7-lm-studio) 8. [GPT4All](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#8-gpt4all) 9. [Open WebUI](https://budibase.com/blog/alternatives/open-source-chatgpt-alternatives/#9-open-webui) Let’s check each one out in turn. | Criteria | Budibase | LibreChat | LangChain | H2oGPT | Botpress | Jan | LM Studio | GPT4All | Open WebUI | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Best for | Internal AI workflows | Custom chat | Custom AI apps | Offline AI | AI agents | Personal AI | Local models | Chat with docs | Self-hosted chat | | Product type | Workflow platform | Chat platform | LLM framework | Local AI platform | Agent platform | Assistant platform | Model runtime | Desktop app | Chat workspace | | Deployment | Cloud / self-hosted | Self-hosted / Railway | Developer-managed | Local / self-hosted | Cloud / self-hosted | Desktop / web / server | Desktop / headless | Local desktop | Self-hosted | | UI included | Apps + chat | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes | | Technical level | Low-medium | Medium | High | Medium | Medium | Low-medium | Medium | Medium | Medium | ## 1. Budibase Budibase is a complete solution for creating AI-powered workflows, with dedicated Agent, Automation, and App-builders that you can connect to any LLM, data or API, and self-host or use our cloud platform. Budibase Agents are instruction-led, meaning we can build and iterate over behavior in natural language, including configuring tool calls and data retrieval. #### Features We also offer off-the-shelf chat experiences for Agents, alongside support for existing chat tools. It’s never been easier to create fully custom conversational experiences for all kinds of internal workflows. ## 2. LibreChat LibreChat. This is one of the best-known open-source AI chat platforms, offering a huge amount of customization alongside support for a range of LLMs from major providers. This centers around a pre-built chat UI that will look and feel very familiar to anyone who has used ChatGPT before. This provides a clean, intuitive chat experience out of the box, including multi-modal support, including more advanced capabilities like file handling and image analysis. ## 3. LangChain Next, we have perhaps the best-known AI framework, LangChain. As such, this is a developer-focused toolkit, aimed at enabling engineers who need to expedite the process of creating custom tools on top of LLMs. Part of a wider ecosystem of tools, the LangChain framework itself offers a pre-built agent architecture to enable us to integrate tools and models. ## 4. H2oGPT H2oGPT is a comprehensive open-source platform aimed at teams that want to build custom GPTs for offline usage. The goal is to enable teams to build tools on top of local LLMs, taking advantage of the power of AI, without sacrificing control over their data. ## 5. Botpress Billing itself as an all-in-one platform for building AI agents, Botpress is one of the most ubiquitous names in the market for teams seeking out an open-source ChatGPT alternative. We can think of this as a low-code platform that provides the core capabilities that we need to build production agents. ## 6. Jan Jan offers a configurable yet ready-to-use AI chat tool for local and cloud-based models. It’s available in a range of forms, including a desktop app, a web-based solution, or a self-hosted platform to run on your own infrastructure. ## 7. LM Studio LM Studio. This is a platform for running, chatting with, and connecting tools to local models. One of the real selling points of LM Studio is how quickly and easily we can get up and running. ## 8. GPT4All Part of the Nomic ecosystem, GPT4All is an open-source application for running AI chatbots with local LLMs. The goal is to empower developers and teams with the ability to run local models on everyday Windows, Mac, or Linux machines. ## 9. Open WebUI Open WebUI is perhaps the best-known self-hostable UI for AI chat, making it an important open-source ChatGPT alternative to be aware of.