AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

[!IMPORTANT] ⚠️ We are excited about the amount of interest Thunderbolt has been getting and want to clarify that it is still early and under active development. Currently, we are targeting enterprise customers that want to deploy it on-prem. We encourage you to self-host it and try it out, but there are a few caveats we are still working on:
- While we eventually plan to make Thunderbolt fully offline-first, it currently depends on authentication and search functionality (though you can disable search on the integrations screen in the app). You can deploy your own backend with Docker and sign up in order to test it locally.
- You’ll need to add your own model providers - we don’t yet have a public inference endpoint. We recommend using Thunderbolt with Ollama or llama.cpp if you want free local inference, or you can add API keys for any OpenAI-compatible model provider in the settings.
Thunderbolt is an open-source, cross-platform AI client that can be deployed on-prem anywhere.
Thunderbolt is under active development, currently undergoing a security audit, and preparing for enterprise production readiness.
Found a bug? Have an idea?
We welcome contributions from everyone.
Please read our Code of Conduct. All participants in the Thunderbolt community agree to follow these guidelines and Mozilla's Community Participation Guidelines.
If you discover a security vulnerability, please report it responsibly via our vulnerability reporting form. Please do not file public GitHub issues for security vulnerabilities.
Thunderbolt is licensed under the Mozilla Public License 2.0.
$ claude mcp add thunderbolt \
-- python -m otcore.mcp_server <graph>