by shenmintao · LLM Plugin · ★ 101
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Marginalia Chinese README: README.zh-CN.md Detailed design: DESIGN.md Turn your PDFs, notes, spreadsheets, logs, and archives into a private AI library that answers from original sources. Marginalia is a local-first research agent for people with messy private knowledge bases. It keeps your files in a normal folder tree, builds useful library metadata around them, and makes the agent read the relevant original file windows before it writes a cited answer. Download desktop app · CLI quickstart · Usage guide · Design notes Why Use It You have research papers, meeting notes, PDFs, tables, logs, screenshots, and archives that do not fit cleanly into one app. You want answers that cite the source material instead of a black-box vector search layer over chunks. You need both quick lookups and slower investigation-style reports over the same private library. You want local-first storage: the default backend keeps your library as readable files under . What It Does Ingests text, Markdown, PDFs, DOCX, images, spreadsheets, logs, and archives. Organizes material with folders, catalogs, tags, views, metadata, journals, and relation mining.
| Stars | 101 |
| Forks | 17 |
| Language | Python |
| Category | LLM Plugin |
| License | AGPL-3.0 |
| Quality Score | 52.85/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-05-23 |
| Platforms | docker, python |
| Est. Tokens | ~17k |
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marginalia is A library-science-inspired personal knowledge management system with LLM agents. It is categorized as a LLM Plugin with 101 GitHub stars.
marginalia is primarily written in Python. It covers topics such as apple-silicon, arm64, desktop-app.
You can find installation instructions and usage details in the marginalia GitHub repository at github.com/shenmintao/marginalia. The project has 101 stars and 17 forks, indicating an active community.
marginalia is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to marginalia on Agent Skills Hub include Flamehaven-Filesearch, gno, LocalLens. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.