发送给老师:本周薄弱点小包For the teacher: this week's gap pack
- 来自From
- 数学学科库Mathematics
- 主题Topic
- 配方法Completing the square
- 薄弱点Gap
- 步骤的规范表达Writing every step clearly
- 待确认Check
- 符号处理、步骤完整性Signs and step completeness
- 建议题Suggested
- 4 道(基础 → 进阶)4, basic → transfer
学习者拥有的 Git 记忆 · Harness Developer PreviewLearner-owned Git memory · Harness Developer Preview
GitLearnOS 让一个主 Agent 把真实学习整理成学习者拥有的私有 Git 状态:先回答眼前问题,再连接证据、引导下一步,并在权限明确时安全写回。DeepSeek Harness 原生面板目前是 Developer Preview。GitLearnOS lets one main agent turn real learning into a learner-owned private Git record: answer the immediate need, connect evidence, guide the next step, and write back only when authority is clear. The native DeepSeek Harness panel is a Developer Preview.
due-review,回到第 3 步,只问仍不清楚的内容。 and loop back to step 3 — asking only what is still unclear.
主要成功条件是可观察的进步——通过作答与延迟复查验证,而不是一叠整齐的笔记。原始作答、笔记与外部反馈永远保留;更正以新记录链接,不做静默改写。The primary success condition is observable improvement — verified through answering and delayed rechecking, not a tidy pile of notes. Original answers, notes and external feedback are always preserved; corrections become new linked records, never silent rewrites.
只包含数学资料、题目与记录。Agent 自动判科和写回,用户无需维护路径。Only mathematics sources, questions, and records. The agent routes and writes back automatically.
goals/sources/knowledge-gaps/reviews/events/只包含英语资料、题目与记录。Agent 自动判科和写回,用户无需维护路径。Only English sources, questions, and records. The agent routes and writes back automatically.
goals/sources/knowledge-gaps/reviews/events/只包含编程资料、题目与记录。Agent 自动判科和写回,用户无需维护路径。Only coding sources, questions, and records. The agent routes and writes back automatically.
goals/sources/knowledge-gaps/reviews/events/只授权一个仓库;每科独立成文件夹,根目录统一保存配置、总览和跨学科安排。大教材、PDF 与扫描件放在 Project Sources 或授权的本地文件夹,Git 只保存紧凑状态、出处指针与历史。Authorize one repository. Subject folders stay focused while root files hold shared configuration and cross-subject planning. Large textbooks, PDFs and scans live in Project Sources or an authorized local folder — Git stores compact state, provenance pointers, and history.
AGENTS.md
每次交互都判断是否与学习有关。先回答,再在权限明确时执行最小即时写回;只缺一个事实时,就问一个必要问题。Every interaction is checked for learning value. Answer first, then take the smallest authorized immediate action; ask one necessary question when one fact is missing.
Git = formal memory
local RAG = retrieval
同一个主 Agent 负责即时整理与安全写回;真实调度器只负责按时再次唤起它执行 maintenance 和 due-review,不增加第二个学习 Agent。普通一次性练习不立刻进入 RAG;反复错误和可复用方法先在 Git 正式整理,再晋升。主 Agent 已经理解的截图不重复 OCR。The same main agent handles immediate organization and safe writeback. A verified scheduler only wakes it again for maintenance and due-review; it does not introduce a second learning agent. One-off exercises do not enter RAG immediately. Repeated errors and reusable methods become formal Git knowledge before promotion. Screenshots already understood by the main agent are not OCR'd twice.
DeepSeek Harness 原生支持 · Developer PreviewNative DeepSeek Harness support · Developer Preview
这不是一篇兼容说明,也不是把 Skill 复制进项目。安装原生 bundle 后,Harness 会加载 GitLearnOS Host 和会话面板。Agent 能读取学习状态、判断下一步,并用 learning_apply 把一次学习变化写成一笔可撤销的 Git 提交。This is not a compatibility note or a copied Skill. Install the native bundle and Harness loads the GitLearnOS Host and conversation panel. The agent can read learning state, decide what comes next, and apply one learning change as a reversible Git commit through learning_apply.
视觉由用户选择:Vision is the user's choice: 可以直接配置支持图片输入的第三方多模态模型,也可以保留 DeepSeek 主模型并安装视觉/OCR桥接插件。两者都没有启用时,Agent 会提醒用户补充视觉能力,不会猜测图片内容。Configure a third-party multimodal model that accepts images, or keep DeepSeek as the main model and install a vision/OCR bridge plugin. If neither is enabled, the agent asks for a visual capability instead of guessing what an image contains.
AceSAT AI Agent Hackathon · 英文演示AceSAT AI Agent Hackathon · Product demo
2 分 23 秒产品演示:读取学习者约束、定位证据缺口、提出一个精准问题、写回结果,并安排延迟复查。兼容 ChatGPT、Claude、Codex、OpenCode 等实际具备仓库权限的运行环境;完全离线还需要受支持的本地模型与工具链。A 2:23 product demo: read learner constraints, locate an evidence gap, ask one precise question, write the result back, and schedule a delayed recheck. It works on ChatGPT, Claude, Codex, OpenCode, or another runtime with verified repository access; fully offline use still requires a supported local model and toolchain.
使用 https://github.com/Guojiz/GitLearnOS 作为模板。
我的私有学习仓库:<本地路径或远程仓库>
先读 QUICKSTART.md,确认我的学习目标、学科和资料,再按其中唯一标准指令部署。
Use https://github.com/Guojiz/GitLearnOS as the template.
My private learning repository: <local path or remote repo>
Read QUICKSTART.md first, then follow its single canonical setup prompt after
confirming my goal, subject, and materials.