Best Open-Source Chatbots in 2026
Self-hosted conversational AI, real licenses checked, no vendor lock-in.
The best open-source chatbot tools let you self-host the entire stack instead of renting a SaaS seat. Rasa fits engineering teams that want full control over NLU and dialogue logic, Typebot is the fastest way to build a no-code chatbot for a website, Chatwoot replaces Intercom for live chat and support teams, and LibreChat turns any server into a private, multi-provider ChatGPT alternative.
From the 10,000+ tools Toolradar tracks, these are the open-source chatbot and conversational-AI frameworks you can actually self-host, not tools that merely use "open" in their marketing copy while keeping the real product locked behind a closed SaaS. Plenty of chatbot builders in Toolradar's database are freemium, but freemium still means the vendor's servers, the vendor's pricing, and the vendor's shutdown risk. Every pick below ships source code under a real open-source license (Apache 2.0, MIT, or AGPL) that you can run on your own infrastructure today.
To build this list, we started from Toolradar's chatbots category, dropped every closed-source SaaS tool regardless of how it markets itself, and WebSearch-verified each remaining tool's license and current self-hosting status in 2026. That last check mattered: at least one well-known "open-source" chatbot builder in our initial pool turned out to have stopped shipping releases for its self-hosted edition years ago, with the company's real product now a closed cloud platform, so it was cut. What's left is confirmed open-source, confirmed self-hostable, and still maintained.
Top Picks
Based on features, user feedback, and value for money.
| Tool | Starting price | Rating | Best for |
|---|---|---|---|
| Rasa | Free plan | 4.0(11) | Development teams that need on-premise deployment and won't hand conversation data to a... |
| Typebot | From $39/mo | 4.5(67) | Teams that want a visual, drag-and-drop chatbot builder without touching code. |
| Chatwoot | From $19/mo | 4.5(15) | Support teams that want an Intercom-style shared inbox they fully own and can self-host... |
| Langflow | Free | n/a | Developers who want to prototype a chatbot or agent flow visually before writing produc... |
| Haystack | Free plan | n/a | Engineering teams building a custom conversational or search product, not looking for a... |
| LibreChat | Free plan | n/a | Teams or individuals who want one private, ChatGPT-like app that can switch between Ope... |
| AnythingLLM | Free | n/a | Teams that want a private, document-aware chatbot without sending files to a third-part... |
| OpenWebUI | Free | n/a | Anyone running local models through Ollama who wants a polished chat UI instead of a te... |
| GPT4All | Free | 4.7(37) | Users who want a genuinely offline chatbot with zero data leaving their machine. |
Development teams that need on-premise deployment and won't hand conversation data to a third party.
Rasa's pricing structure is fair, offering a generous Free Developer Edition for individual developers or small teams to get started.
Watch out
Enterprise tiers require sales contact, implying high costs.
Teams that want a visual, drag-and-drop chatbot builder without touching code.
Typebot offers a generous Free tier, making it accessible for individuals and small projects.
Watch out
Extra chats at $10 per 500 on Starter
Support teams that want an Intercom-style shared inbox they fully own and can self-host for free.
Chatwoot's pricing is quite generous, especially with the free Hacker tier offering 500 conversations/month.
Watch out
Fair use policy on Business tier might limit high volume.
Developers who want to prototype a chatbot or agent flow visually before writing production code.
Langflow's pricing is extremely generous, offering a fully free tier for self-deployment or cloud usage.
Watch out
Cloud provider costs for deployment
Engineering teams building a custom conversational or search product, not looking for a turnkey chatbot.
Haystack offers a very generous free tier, providing a powerful open-source AI framework at no cost.
Watch out
Enterprise support costs are undisclosed
Teams or individuals who want one private, ChatGPT-like app that can switch between OpenAI, Anthropic, and other models.
Teams that want a private, document-aware chatbot without sending files to a third-party cloud.
AnythingLLM's pricing is very generous, offering full functionality for free via self-hosting or desktop app.
Watch out
Cloud tier requires monthly payment
Anyone running local models through Ollama who wants a polished chat UI instead of a terminal.
OpenWebUI's pricing is generous because the core platform is free and open source, with the only paid tier being 'Enterprise' at a contact-us price.
Watch out
Infrastructure costs for self-hosting (GPU, storage)
Users who want a genuinely offline chatbot with zero data leaving their machine.
GPT4All is completely free and open source, offering unlimited usage and local document chat with no account required.
Watch out
Requires consumer GPU with sufficient VRAM
Other Chatbots worth considering
Beyond the editorial top picks, these are also strong choices we evaluated.
What Is an Open-Source Chatbot Tool?
An open-source chatbot tool ships its source code under a license (Apache 2.0, MIT, and AGPL are the most common here) that lets you run, modify, and redistribute it yourself. In practice, that means self-hosting: you deploy the software on your own server or Docker container, connect it to whichever AI model or channel you choose, and keep the conversation data on infrastructure you control instead of a vendor's.
That is different from a free tier on a closed SaaS chatbot, where the code stays on the vendor's servers and free usage is capped by design. With a genuinely open-source tool, self-hosting removes that usage cap entirely. The only limits left are your own hardware, your own engineering time, and whatever license terms apply to redistribution.
Why Self-Hosting a Chatbot Matters
Self-hosting matters most for two situations closed SaaS chatbots handle poorly: data that legally or contractually can't leave a specific environment (healthcare, finance, internal tooling), and conversation volume that would get expensive fast on a per-seat or per-conversation SaaS plan. A framework running on your own server has neither ceiling.
It also protects against vendor risk. A chatbot vendor can raise prices, kill a free tier, or wind down entirely, forcing customers to migrate on short notice. Flowise, a popular open-source chatbot and agent builder, announced in mid-2026 that it was shutting down its own hosted operations and archiving its GitHub repository. Existing self-hosted Flowise instances keep running because the Apache 2.0 code stays available, which is exactly the point: permissively licensed, self-hosted software keeps working regardless of what the company behind it decides to do next.
Key Features to Look For
Permissive licenses (MIT, Apache 2.0) allow commercial use and modification with almost no restrictions. Copyleft licenses (AGPL) require you to share your modifications if you offer the tool as a public service.
Confirm there's a documented, working Docker or Docker Compose setup, not just a self-host guide that's years out of date.
Check the GitHub commit history and release cadence directly. Some codebases stay technically open source long after the company behind them stops shipping updates to that edition.
Look for native connections to the providers and channels you actually need: OpenAI, Anthropic, local Ollama models, WhatsApp, Slack, or an embeddable website widget.
If the bot needs to answer from your own files or knowledge base, confirm built-in retrieval-augmented generation rather than a bolt-on integration you have to build yourself.
A large GitHub star count and active issue tracker usually mean faster bug fixes, more third-party plugins, and less risk of the project going stale.
Mistakes to Avoid
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Trusting a tagline that says "open source" without reading the actual license file. Some source-available projects add usage restrictions that aren't in a pure OSI license.
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Picking a project with a stale self-hosted codebase because the vendor's marketing site still calls it open source, even after the company has shifted its real product to a closed cloud platform.
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Underestimating the DevOps cost of self-hosting. Backups, upgrades, and uptime monitoring take real engineering time, not just a one-time server bill.
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Confusing a chatbot framework, like Rasa or Haystack, with a ready-to-launch chatbot builder, like Typebot or Chatwoot. Frameworks need code; builders don't.
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Assuming self-hosting makes AI model usage free. You still pay per-token API costs to OpenAI, Anthropic, or whichever provider you connect. Self-hosting only removes the software's own SaaS fee.
Expert Tips
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Check the GitHub repo's commit activity and latest release date before adopting, not just its star count. Stars measure past popularity, not current maintenance.
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For a quick launch, start with a no-code builder like Typebot or Chatwoot. Reach for a framework like Rasa or Haystack only when you need custom NLU logic or a fully bespoke pipeline.
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Pair a local model runner (Ollama) with a self-hosted UI like Open WebUI or LibreChat if your goal is a private ChatGPT alternative with zero per-message software cost.
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Budget for self-hosting as an ongoing line item, server or GPU cost plus the engineering hours to patch and upgrade, not a one-time setup fee.
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If data residency is the reason you're going open source, verify the tool doesn't call out to a third-party API by default. Some self-hosted tools still phone home for telemetry or model inference unless you explicitly disable it.
The Bottom Line
Rasa, Typebot, and Chatwoot cover most self-hosted chatbot needs: a coding framework, a no-code builder, and a full support inbox, all under permissive or copyleft open-source licenses. Of the 10,000+ tools Toolradar tracks, these are the open-source chatbot and conversational-AI frameworks you can actually self-host today, not just the ones with "open source" in the marketing copy.
Frequently Asked Questions
What is the best open-source chatbot platform?
It depends on what you're building. Rasa is the strongest pick for developers who want full control over NLU and dialogue logic in Python. Typebot is the fastest no-code option for a website chatbot or conversational form. Chatwoot is the best fit if you need a full support inbox, live chat plus email plus WhatsApp, rather than just a bot. All three are self-hostable under open-source licenses with no per-conversation software fee.
Can I self-host a ChatGPT-like AI assistant for free?
Yes. LibreChat and Open WebUI are both free, open-source chat interfaces that connect to OpenAI, Anthropic, or local models through Ollama, and neither charges a software fee to self-host. AnythingLLM adds document chat on top through built-in RAG. You'll still pay for the underlying AI model's API calls unless you run a fully local model with something like GPT4All.
Is Chatwoot actually free, or is that just a trial?
The self-hosted Community Edition is genuinely free under the MIT license, with no cap on agents or conversations and no time limit. Chatwoot also sells a managed cloud plan, a free Hacker tier for up to 2 agents, then paid tiers, and a separately licensed Enterprise directory for features like SSO. But the core self-hosted product costs nothing to run indefinitely.
What's the difference between an open-source chatbot framework and a no-code chatbot builder?
A framework like Rasa or Haystack gives you code-level building blocks, NLU models, retrieval pipelines, that a developer assembles into a bot. A no-code builder like Typebot gives you a finished visual editor: drag in a message block, a condition, an AI step, and publish. Frameworks are more flexible but need engineering time; builders launch faster but with less low-level control.
Do I need coding skills to run an open-source chatbot?
Not always. Typebot and Chatwoot are built around visual, no-code interfaces, so a non-developer can configure a bot after the initial self-hosted deployment, which does need someone comfortable with Docker. Rasa, Haystack, and Langflow assume Python or at least YAML and JSON configuration, so they suit a team with development resources better.
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