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ScienceX

ScienceX is an open-source AI workbench for research

Productivity
Artificial Intelligence
GitHub
Tech
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Hunted byAbraham LeeAbraham Lee

ScienceX is an open-source AI workbench for scientific research. It aims to be a local-first, self-hostable alternative to [Claude Science](https://www.anthropic.com/news/claude-science-ai-workbench), bringing experiment data, agent sessions, reproducible runs, provenance, and research artifacts into one macOS / Windows / Linux desktop environment. Researchers can choose their model provider, extend the system through Skills and MCP, and retain control over local files and computation.

Top comment

In a landscape increasingly dominated by proprietary AI ecosystems, **ScienceX** emerges as a breath of fresh air for the academic and scientific community. Positioned as a robust, open-source, and local-first alternative to walled gardens like Claude Science, this ambitious desktop workbench masterfully bridges the gap between cutting-edge AI capabilities and strict data sovereignty. By unifying experiment tracking, agent sessions, and reproducible artifacts within a single cross-platform application, ScienceX fundamentally reshapes the modern research workflow. Its true brilliance, however, lies in its uncompromising flexibility—empowering researchers to bring their own model providers, extend functionalities via MCP (Model Context Protocol), and keep sensitive computational data strictly on their local silicon. For researchers who demand both absolute control and next-generation AI assistance, ScienceX isn't just a new tool; it feels like the definitive operating system for the future of open science.

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About ScienceX on Product Hunt

ScienceX is an open-source AI workbench for research

ScienceX was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #116 on the daily leaderboard. ScienceX is an open-source AI workbench for scientific research. It aims to be a local-first, self-hostable alternative to [Claude Science](https://www.anthropic.com/news/claude-science-ai-workbench), bringing experiment data, agent sessions, reproducible runs, provenance, and research artifacts into one macOS / Windows / Linux desktop environment. Researchers can choose their model provider, extend the system through Skills and MCP, and retain control over local files and computation.

ScienceX was featured in Productivity (656.6k followers), Artificial Intelligence (474.1k followers), GitHub (41.3k followers) and Tech (628.3k followers) on Product Hunt. Together, these topics include over 447.1k products, making this a competitive space to launch in.

Who hunted ScienceX?

ScienceX was hunted by Abraham Lee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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