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
uv run --no-project --python 3.12 install.py --checkuv run --no-project --python 3.12 install.pygit 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%
相关插件
task-passport
dongsheng123132/task-passport
通过机器可读检查点与乐观锁,在 DeepSeek Harness、WorkBuddy、Claude Code 和 Codex 之间交接持久任务状态。
memory-eternal
EternalNight996/memory-eternal
别的记忆插件让 AI 记住更多,我们让 AI 只记住对的:Agent 只能提案,人工审核才进主库(三库分离 + 不可变审计日志);召回走 SQLite FTS5/BM25、零模型调用(实测 p50 2.3ms),记忆账本摊开召回成本与有用率;一个库接 DSH / Claude Code / Codex / Cursor / 任意 MCP。
memsearch
zilliztech/memsearch
供 DSH 与其他编程 Agent 共享的 Markdown 记忆,支持自动捕获、步骤前上下文注入、搜索召回,以及通过审阅面板实现 memory-to-skill 自进化。