SciKMS

Clinical Knowledge Manager — a desktop app for medical research papers, with evidence-based medicine classifiers, figure atlas, and full-text search. Built for clinicians who read papers every day.

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What it is

SciKMS is a local, offline-first library for your personal collection of medical research papers. Import PDFs by drag-and-drop, DOI lookup, or PubMed search. The app auto-classifies each paper by evidence level (EBM I–V), study design, and clinical specialty. It extracts figures from the PDF into a browsable atlas, indexes everything with SQLite FTS5 full-text search, and exports to Zotero / EndNote / LaTeX / Excel.

No account. No cloud. Built by doctors. Use for doctors

Install

Download a prebuilt binary (recommended)

Grab the latest from Releases:

• macOS (arm64): SciKMS-<version>-macOS<os>-arm64.zip — unzip, drag SciKMS.app to /Applications. First launch: right-click → Open (unsigned).
• Windows (x64): SciKMS-<version>-windows-x64.zip — unzip, run SciKMS\SciKMS.exe.

Build from source

Requirements: Python ≥ 3.10, uv.

git clone https://github.com/SciKMS/scikms.git
cd scikms
uv sync --dev

# Run
uv run scikms

# Or bundle a distributable:
make bundle-mac    # → dist/SciKMS.app
make bundle-win    # → dist\SciKMS\SciKMS.exe  (Windows host)

License

GPL-3.0-or-later. See LICENSE for the full text.