thunderbolt

概要

Thunderbolt はオープンソースのプラットフォーム間の AI クライアントで、ユーザーはモデルを選択し、データを所有し、メーカーのロックを解除することができます。デスクトップとモバイル端末をサポートし、ローカルに展開できます。

README プレビュー

# Thunderbolt [](https://github.com/thunderbird/thunderbolt/actions/workflows/ci.yml)\n\n**AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.**\n\n\n\n> [!IMPORTANT]\n> ⚠️ **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:\n>\n> - 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](./deploy/README.md) and sign up in order to test it locally.\n> - You’ll need to add your own model providers - we don’t yet have a public inference endpoint. We recommend using Thunderbolt with [Ollama](https://ollama.com) or [llama.cpp](https://github.com/ggml-org/llama.cpp) if you want free local inference, or you can add API keys for any OpenAI-compatible model provider in the settings.\n\nThunderbolt is an open-source, cross-platform AI client that can be deployed on-prem anywhere.\n\n- 🌐 Available on all major desktop and mobile platforms: web, iOS, Android, Mac, Linux, and Windows.\n- 🧠 Compatible with frontier, local, and on-prem models.\n- 🙋 Enterprise features, support, and FDEs available.\n\n**Thunderbolt is under active development, currently undergoing a security audit, and preparing for enterprise production readiness.**\n\n## Get Started Locally\n\n```sh\nmake doctor    # verify your tools — prints exact install commands for anything missing\nmake setup     # install frontend + backend dependencies, wire up agent symlinks\nmake up        # start Postgres + PowerSync in Docker\nmake run       # start the backend (:8000) and frontend (:1420)\n```\n\nFor self-hosting with Docker C