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$ show alchaincyf/hermes-agent-orange-book

[account โ†—] [repo โ†—] APPLICATION โ˜… 4903 493 โ— maintained (last update 1 month ago)
reviewed by: deepseek/deepseek-v4-flash

This repository is a comprehensive guide (Orange Book) for Hermes Agent, an open-source AI agent framework by Nous Research. It contains PDFs of the second edition (v0.16.0), screenshots, and a single Python utility script for adding PDF bookmarks. The codebase is minimal: there is no application, library, or data pipeline. The primary value is the book's content, not the software. The Python script (tools/add_toc_bookmarks.py) is a well-documented, self-contained tool that uses pypdf to scan PDFs for section headers and automatically generates a hierarchical outline. The project is clearly organized with bilingual READMEs, an errata section, and a MIT license. While the repository is not a reusable software project in the traditional sense, the bookmark utility is a practical component that could be extracted for similar PDF processing tasks. Overall, the repository serves its purpose as educational documentation rather than a functional application.

RATING6.8/10
QUALITY6.5/10
MAINTENANCEmaintained
DRIFTlow
CONTRIBUTORS1
VELOCITY0.47
OPEN ISSUES5
CLOSED ISSUES1
LAST COMMIT1 month ago
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The LLM identified 1 files worth highlighting for reuse:

A self-contained Python script that automatically adds PDF outline bookmarks to the guide PDFs. It scans each page's first line for section numbers (e.g. ยง01), maps them to page numbers, and writes a two-level bookmark hierarchy (Part / Section) using pypdf. The script is parameterized for both Chinese and English editions and can be run on any PDF with similar numbered section headings. It demonstrates clean separation of concerns, error handling for missing sections, and in-place file replacement. This pattern is reusable for any PDF generation workflow that needs automated bookmark insertion without manual page number hardcoding.

file: tools/add_toc_bookmarks.py โ†— | tags: #pdf-manipulation #bookmarks #pypdf
Last analyzed: 2026-09-04 18:26:06.958296
Next check: 2026-10-04 18:26:06.951009
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