Botpress
Open-source platform for building conversational AI agents and chatbots.
- AI & LLM Tools
- TypeScript
- MIT
- Docker
- Actively maintained
GitHub stats
- GitHub stars
- 14,939
- Forks
- 2,288
- Open issues
- 12
- Commits, last 12 months
- 858
- Last commit
- Oct 5, 2026
- Latest release
- v12.30.9Jun 22, 2023
- Created
- Nov 16, 2016
Data from the GitHub API, refreshed daily.
About Botpress
Open-source platform for building conversational AI agents and chatbots. Botpress is open source under the MIT license and written mainly in TypeScript, so you can read the code, run it on your own hardware and keep full control of your data.
The project has 14,939 stars and 2,288 forks on GitHub, with 858 commits over the last year. It ships a Docker image, which makes it a good fit for a small VPS or a home server running Docker Compose.
Topics
- agent
- ai
- botpress
- chatbot
- chatgpt
- gpt
- gpt-4
- llm
- openai
- langchain
Repository preview
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What is Botpress?
Botpress is a free, open-source app you can host on your own server, listed in our AI & LLM Tools category. Open-source platform for building conversational AI agents and chatbots. The source code lives at github.com/botpress/botpress, where it has 14,939 stars.
Is Botpress free and open source?
Yes. Botpress is open-source software released under the MIT license, so you can self-host it at no cost. You only pay for the server it runs on, and some projects also offer an optional paid cloud plan.
Can I run Botpress with Docker?
Yes. Botpress provides a Docker image, so you can run it on any Linux server with Docker and Docker Compose installed. The project README lists the image name and the environment variables to set.
What are the best alternatives to Botpress?
Popular open-source alternatives to Botpress include Ollama, Stable Diffusion WebUI and Langflow.
Is Botpress actively maintained?
The most recent commit to Botpress was on Oct 5, 2026 with 858 commits in the past twelve months. The latest release is v12.30.9, published Jun 22, 2023. Check the open issues on GitHub to gauge how quickly maintainers respond.