rawmem
A tiny local-first raw evidence ledger for AI and human workflows.
一句话定位
A tiny local-first raw evidence ledger for AI and human workflows.
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/Liyuan1992/rawmem.git#c8351d70e95b03bcd8ee14d2639612a8ddbb9497'
兼容的 DSH 版本
未声明
作者与热度
Liyuan1992 · ★ 1 · 更新于 2026-09-13
关于这个插件
rawmem
[English](README.md) | [简体中文](README.zh-CN.md)
rawmem is a tiny local-first evidence ledger for AI and human workflows.
The idea is deliberately small:
> Store now, understand later.
AI memory systems often start by summarizing. rawmem starts one layer lower:
append-only raw evidence. A chat turn, a 2px UI tweak, a bug fix, a command run,
a git snapshot, a browser clip, or a coding-agent completion can all become the
same kind of local event.
The hard boundary is simple: capture is not recall. The ledger is a source
layer. Review, filtering, MemoryDSL conversion, preference mining, and project
rules can be derived later.
Why This Exists
Small facts look noisy alone. Repeated across time and projects, they become
patterns:
- "This icon is too small; make it 2px bigger."
- "The AI forgot to update the desktop package again."
- "This project prefers append-only bug records."
- "The same class of boundary bug appeared in three repos."
Disk is cheap. Missing history is expensive.
Install
New to programming? Choose the Windows app (EXE). An EXE is a Windows
program you open by double-clicking. Running it requires no Python installation
or terminal commands.
| Who it is for | Choose | Requirements |
| --- | --- | --- |
| Windows users who want a graphical app | Windows EXE preview | A built rawmem.exe; no Python required |
| Developers who want commands or integrations | Python CLI | Python 3.10+ and Git for the source installation below |
Choose one approach; you do not need both. **There is currently no downloadable
release of the new EXE preview.** A developer must build it from source first.
Users unfamiliar with programming can wait for an EXE release instead of
following the Python commands below.
Windows app (EXE preview)
Once you have a built rawmem.exe, double-click it, choose a storage folder,
decide whether to start at logon, and click to begin recording. Browser saving
requires the optional extension. See [Windows recorder](docs/WINDOWS_RECORDER.md)
for setup and build instructions. This preview is unsigned and the extension
still requires manual developer-mode installation.
Python CLI (for developers)
EXE users can skip this section. With Python 3.10+ and Git installed, run these
commands in PowerShell:
git clone https://github.com/Liyuan1992/rawmem.git cd rawmem python -m pip install --user -e .
The core runtime has no third-party dependencies. DeepSeek Harness compressed
session capture and the MCP server are optional extras:
python -m pip install --user -e ".[deepseek-harness,mcp]"
To install the published v0.7.1 wheel without cloning the repository:
python -m pip install "rawmem[deepseek-harness,mcp] @ https://github.com/Liyuan1992/rawmem/releases/download/v0.7.1/rawmem-0.7.1-py3-none-any.whl"
Make sure the user Scripts
directory (e.g. %APPDATA%\Python\Python312\Scripts) is on PATH so rawmem
works from any directory.
One-Time Setup
rawmem setup --global --install-startup --dry-run # inspect first; writes nothing rawmem setup --global --yes # global config + git hooks for all repos rawmem setup --install-startup --yes # run the daemon headless at every logon
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 |