Tabby
Self-hosted AI coding assistant
paperjury ist ein Open-Source-Projekt aus der Kategorie Entwickler-Tools von Spark-To-Paper-Skills (Spark-To-Paper-Skills/paperjury auf GitHub). Es hat 1.215 Sterne auf GitHub und 44 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 14. August 2026 auf GitHub aktualisiert.
Stress-test your research paper with an AI reviewer before submission.
Install the paperjury skill into Claude Code.
Point it at your manuscript before submission.
The skill critiques the paper and renders a verdict.
Apply fixes, then let it verify the improvements.
A critical read of your draft before reviewers see it.
An explicit accept-or-revise style judgment.
Helps you fix what the review flagged.
Checks that revisions actually addressed the issues.
Runs inside the assistant you already use.
Brutal honesty without an audience.
Download the source and move into the project folder.
git clone https://github.com/Spark-To-Paper-Skills/paperjury.git
cd paperjuryEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandMIT licensed — free for academic and commercial use with attribution.
No — it is a rehearsal that catches obvious weaknesses before human reviewers.
It is built for research papers generally; domain fit depends on your draft.
Yes — it ships as a Claude Code skill.
Check the README for supported manuscript formats.
Self-hosted AI coding assistant
A lightweight, cross-platform code editor, built with Tauri (Rust and React) with Git support, AI agents, vim keybindings
Spec-driven development (SDD) for AI coding assistants.
Compress tool outputs, logs and RAG chunks before they reach the LLM — same answers, fewer tokens
A guard that blocks dangerous git and shell commands before AI agents can execute them.
Local-first web search, fetch, crawl and research for AI coding agents over MCP — no API keys.
Die anderen Projekte der Kategorie Entwickler-Tools mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls paperjury nicht das Richtige ist.
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Verwandte Projekte der Kategorie Entwickler-Tools im Katalog, die paperjury bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.