Thunderbolt is an open-source, cross-platform AI client designed to give organizations and enterprises control over their AI infrastructure and data. The platform emphasizes data sovereignty, allowing users to self-host on their own infrastructure or deploy with support from trusted partners. Thunderbolt is positioned for enterprise use, offering native applications across web, desktop (Windows, macOS, Linux), and mobile platforms (iOS, Android).
The tool is extensible and supports integration with a wide range of AI agents and models. It can connect to any ACP-compatible agent or any model with an OpenAI-compatible API, including models such as Claude, Codex, OpenClaw, DeepSeek, and OpenCode. Thunderbolt also features MCP integration for connecting with organizational systems and supports custom integrations and full API access. The platform enables automations and reusable workflows for recurring tasks, such as conducting research, organizing files, and searching email, which can be tailored to enterprise requirements.
Thunderbolt is built for organizations that require on-premises, sovereign cloud, or air-gapped deployments, ensuring that data remains under the user's control. The platform is open source, allowing for auditing and customization as business needs evolve. org, and offers European delivery and sovereign deployment options through a partnership with deepset, integrating with Haystack’s orchestration platform.
The platform is available under an open-source license, with content contributions covered by a Creative Commons license. Thunderbolt is intended for enterprises and organizations that prioritize data control, extensibility, and the ability to customize or audit their AI solutions.
In the Chatbots & assistants space, Thunderbolt takes a focused approach. It focuses on giving enterprises and users full control over AI agent deployment, orchestration, and data privacy across platforms. Thunderbolt is an open-source project aimed at enterprise IT teams and AI engineers. Thunderbolt is open source under the MPL-2.0 license. It runs on the web, macOS, Windows, Linux, and iOS, and it can be self-hosted.
It is developed by deepset, and it first shipped in 2025. Development happens publicly on GitHub with 4.7k stars and 261 commits in the last 90 days. Key capabilities include agent orchestration, self-hosting, and cross-platform. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do