跳到主要内容
Plugin

TOMC

ZipengWu365/TOMC

TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients.

形态
Plugin 插件
安装
通过 profile 安装
需要密钥
是
近月下载
—
最近推送
今天更新

项目说明

From README

TOMC Memory English 简体中文 · v0.3.1 research preview · MIT · Python 3.10+ I got tired of re-explaining my project to every new AI chat, and then getting the old version of a decision back.When a fact changes, only the latest version comes back.

Say your project chat moved from Flask to Django, then FastAPI, then Litestar.TOMC Memory hands your assistant framework = Litestar , plus the line it came from.After installing, say to your assistant: "Try TOMC Memory".In a terminal: tomc try .- Latest value, offline check (v0.3.

0): 144 questions per budget, each about a fact that changed 3 to 5 times.At the default budget the prepared context held the latest value every time (v0.2.1: 58%).At a 10% budget: 85% (v0.2.1: 51%).Synthetic notes and chats, no model call.

We wrote these questions alongside the fixes, so treat them as our regression test, not an independent evaluation.- Smaller re

安装方式

通过 profile 安装 · 需要额外配置密钥

README 解析
shell
uv run --no-project --python 3.12 install.py --check
shell
uv run --no-project --python 3.12 install.py
shell
git clone https://github.com/ZipengWu365/TOMC.git && cd TOMC

为什么是这个分数

近 1 天仍在推送;README 给出了可直接复制的安装命令;运行前需要准备 API Key 或环境变量。

维护活跃
100
实用度
100
生态热度
54
上手便捷
74
信号质量
100
数据置信度
100%
评分怎么算