gitlearnos
Evidence-driven learning memory and automation for Git-native AI agents
一句话定位
Evidence-driven learning memory and automation for Git-native AI agents
安装方式
在 DSH 的 web profile 中执行下面的命令;装完刷新页面即可。
$ dsh plugin --profile web add 'git+https://github.com/Guojiz/gitlearnos.git#3db0bac03ff655fe7c833f941486a7db3ecde264'
兼容的 DSH 版本
^0.1.0-rc.6
作者与热度
Guojiz · ★ 7 · 更新于 2026-09-26
关于这个插件
GitLearnOS
Learner-owned Git memory · GitLearnOS-exclusive native DeepSeek Harness support
Learning happens anywhere. State belongs to you.
Open the official website →
·
Core-ready Quickstart →
[中文](zh-CN/README.md) ·
[Website](https://guojiz.github.io/gitlearnos/) ·
[Documentation map](DOCUMENTATION.md) ·
[Protocol](GITLEARNOS.md) ·
[Author site](https://guojiz.github.io/) ·
[X](https://x.com/guojizh) ·
[Bilibili](https://space.bilibili.com/3493114115263006) ·
[Sponsor](https://github.com/Guojiz/Sponsors)
The core promise
GitLearnOS gives one capable, replaceable main AI agent a learner-owned Git
memory. It notices useful learning events, connects evidence to a goal, guides
the next action, and leaves an inspectable, reversible record.
Learning can happen with a teacher, in class, on paper, in a book, on a
practice platform, in a project, with peers, or with another AI. GitLearnOS
does not move all learning into one application. The main agent connects only
the evidence that is useful for the learner's next decision.
The core is ready with a private local Git repository, one write-capable agent,
the GitLearnOS protocol, and one subject or real learning event. GitHub and
other remotes are optional. During normal learning, Git stays in the
background: the learner should not have to manage folders, branches, or
commits.
The default recommendation is private. Add a remote only when the learner
chooses backup, cross-device continuity, teacher review, collaboration, or
publishing, and keep private answers and gaps separate from shared material.
Core-ready, then everyday learning
The agent answers the immediate request first. Under safe-auto, it may then
make the smallest safe writeback when the target, evidence, goal, and privacy
boundary are clear. preview proposes the exact change without writing;
manual waits for approval. Original answers, notes, and external feedback
are preserved; AI interpretations remain revisable and must link to evidence.
Once configured, a learner should not need to say “use GitLearnOS” or name a
Skill. A question, attempted answer, page photo, class note, teacher comment,
practice result, or repeated difficulty can be a learning event. Incidental
conversation is not stored.
goal and real input → organize traceable evidence → ask from the current gap → keep the answer or external feedback → recheck independently later → update state with one reversible Git commit
The success condition is better independent performance on later questions,
not a larger pile of generated notes. A normal receipt distinguishes what the
current agent did immediately from what a verified scheduled run actually did.
A small, useful repository
gitlearnos.yml AGENTS.md automation.md dashboard.md learner-profile.md subjects/ └── /
同分类对比
同一分类下 Star 最高的 5 个,便于横向比较。
| 插件 | 作者 | Star | 版本 | 更新 |
|---|---|---|---|---|
| EverOS | EverMind-AI | 13.9K | 0.0.0 | 2026-11-10 |
| billion-context | ranxianglei | 5.9K | 0.1.213 | 2026-11-10 |
| dsh-context | bowenliang123 | 4.8K | 0.83.1 | 2026-11-10 |
| memsearch | zilliztech | 2.9K | 0.0.0 | 2026-11-10 |
| dsh-mnemon | omdsh-dev | 957 | 0.5.43 | 2026-11-08 |