Notes & writing
claude-obsidian · Project Sketch
notes / knowledge base in Notes & Writing: Python, MIT, GitHub stars 16.1k
About this listing
- Role: notes / knowledge base for researchers, writers and knowledge workers with long-term notes
- Stack: Python; difficulty low-medium
- License: MIT (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: pushed within 8 days
Problem: turns scattered notes into a searchable, portable knowledge base, focused on Obsidian. Audience: researchers, writers and knowledge workers with long-term notes. Stack & setup: Python, choose local or self-hosted deployment, and verify export formats and migration paths, difficulty low-medium. Difference: it ships under MIT (permissive), which makes the licensing position relatively clear. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | MIT |
|---|---|
| Primary language | Python |
| Platform / topics | GitHub · agent-skills · ai-note-taking · ai-second-brain |
| GitHub stars | 16.1k |
| Last push | 2026-10-25 |
| Source | https://github.com/AgriciDaniel/claude-obsidian |
| Homepage | skool.com/ai-marketing-hub-pro |
| Docs | https://github.com/AgriciDaniel/claude-obsidian#readme |
| Demo | skool.com/ai-marketing-hub-pro |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件,共 9 个章节:
- 一句话定位
- 公开事实元数据(抓取时快照)
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Primary language | Python |
|---|---|
| Platform / topics | agent-skills · ai-note-taking · ai-second-brain |
| License | MIT |
FAQ
买到的是什么形式?
一份 Markdown 交付文件,含 9 个章节(一句话定位 / 公开事实元数据(抓取时快照) / 1. 解决什么问题 / 2. 适用人群 等),付款后生成带授权码的下载文件。
许可证是否允许商用?
元数据记录为 MIT;具体商用范围以原仓库 LICENSE 原文为准,本店不额外授予权利。
项目还在维护吗?
最近一次上游提交:2026-10-25,数据抓取时间 2026-11-04。
需要什么运行环境?
主要语言 Python;其余依赖以包内依赖清单为准。
Comparison
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| docs · 深度导读卡 | ¥1.9 | MIT | 2026-11-03 |
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