Gamma PDF releases open-source, self-hostable AI reader
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Gamma PDF has released an open-source, self-hostable AI-native PDF reader aimed at people who read papers. It offers highlight annotations, outline notes with live Markdown and LaTeX, and citation-style Q&A that can jump to the original passage. The desktop app is free, and the document library is stored on the user's own disk; self-hosting the server is also free, and a single Docker image can serve an entire lab. The Q&A feature requires users to bring their own Anthropic or OpenAI key, or use a paid ChatGPT plan. The officially hosted Gamma Cloud is labeled "coming soon".
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- Hacker News AIShow HN: Gamma PDF – AI-native PDF reader, self-hosted
Gamma PDF is an open-source, self-hosted PDF annotator with outliner notes, live Markdown and LaTeX, and an AI that answers questions about papers with cited answers using your own Anthropic or OpenAI key or a paid ChatGPT plan. It runs on Windows, macOS, Linux, iPad, Android and Docker, stores data as SQLite and files in one folder with no account or telemetry, and supports shared workspaces, Zotero/Obsidian/Logseq/Notion imports, and read-only MCP access for Codex and Claude Code.
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