jevmem

Name: jevmem
Author: Avinash-jetwani

作者：Avinash-jetwani版本 0.7.6i★ –i在你的电脑上运行

注册名称io.github.Avinash-jetwani/jevmem

安装

概览

作者提供的说明（英文原文）

Automatic project memory for Claude Code and Cursor; Codex and Claude Desktop over MCP.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆
你需要填写：TYPESAFE_API_KEY

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： TYPESAFE_API_KEY, JEVMEM_ROOT, TYPESAFE_BASE_URL, JEVMEM_CACHE

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "jevmem": {
      "command": "npx",
      "args": [
        "-y",
        "jevmem",
        "mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value",
        "JEVMEM_ROOT": "your-value",
        "TYPESAFE_BASE_URL": "your-value",
        "JEVMEM_CACHE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add jevmem --env TYPESAFE_API_KEY=your-value --env JEVMEM_ROOT=your-value --env TYPESAFE_BASE_URL=your-value --env JEVMEM_CACHE=your-value -- npx -y jevmem mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "jevmem": {
      "command": "npx",
      "args": [
        "-y",
        "jevmem",
        "mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value",
        "JEVMEM_ROOT": "your-value",
        "TYPESAFE_BASE_URL": "your-value",
        "JEVMEM_CACHE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "jevmem": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "jevmem",
        "mcp"
      ],
      "env": {
        "TYPESAFE_API_KEY": "your-value",
        "JEVMEM_ROOT": "your-value",
        "TYPESAFE_BASE_URL": "your-value",
        "JEVMEM_CACHE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

TYPESAFE_API_KEY 机密 env
TypeSafe API key for Jev, which add_memory, search_memory and audit_memory use. If unset, the server reads it from /.jevmem/.env or ~/.jevmem/env.
JEVMEM_ROOT env
Project root, for clients that start the server without a project working directory (Claude Desktop). One server entry serves one project.
TYPESAFE_BASE_URL env
Send Jev requests through a proxy or gateway instead of api.typesafe.ai.
JEVMEM_CACHE env
0 turns off the answer cache in .jevmem/.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 Avinash-jetwani 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7271 个服务器的 0%
发布到注册中心的时间比此分类中其他 7271 个服务器的 68% 更新
基础检查结果等于或优于此分类中其他 7271 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

jevmem 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：TYPESAFE_API_KEY

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.7.6）于18天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Say it once. jevmem saves the decisions, rules and failed approaches from your Claude Code chats to JEVMEM.md in your repo, and brings the relevant ones back next session. Before Claude runs a command or edits a file, it checks the call against your saved rules. It is open source (MIT), built on TypeSafe AI's Jev, in Anthropic's Claude plugin directory and on the MCP Registry. Since 0.7.4 it saves from Cursor chats the same way, as a Cursor plugin since 0.7.6, and it works with Codex and Claude Desktop over MCP.

In Anthropic's Claude plugin directory · On the MCP Registry · Open source, MIT

The docs site, one page per question: avinash-jetwani.github.io/jevmem

https://github.com/user-attachments/assets/c8a7eced-c427-4ef6-85f2-124eb34ad291

Why

Each Claude Code session starts with a fresh context, so what you decided last week lives in last week's chat. A CLAUDE.md file helps if you keep it up to date. jevmem keeps a file like it up to date for you, as you work.

In numbers

In real Claude Code sessions on three small test projects, with jevmem and without it:

Claude followed the project's earlier decisions: in 66 of 72 sessions with jevmem, 28 of 72 without (about 9 in 10, against 4 in 10).
Tried a change the project forbids: in 0 of 18 sessions with jevmem, against 10 of 18 without.
Repeated an approach that had already failed: in 0 of 15, against 3 of 15.
Saving: about 18 cents per 1,000 messages and about a fifth of a second to decide, in the background: Claude doesn't wait for it.
Bringing lines back: about a third to half a second on each prompt, which Claude waits for; the time and the cost grow with the file.
To be fair: a CLAUDE.md you keep up to date by hand did about as well (67 of 72), and better on one convention nothing in the prompt points at (3 of 3 against 0 of 3). jevmem keeps a file like it up to date for you, and since 0.7.1 marks such rules always-on, so they reach every session: 18 of 18 on six held-out tasks written for that gap, against 14 of 18 with 0.7.0.

My own test sets, each number from one run; none is an independent benchmark. Method and results

How it works

You chat as usual. When you decide something, jevmem writes it as one line in a file in your repo, and brings the right lines back next session.

You decide something in a chat: "We use Postgres."
jevmem asks Jev by TypeSafe AI, a model that answers yes/no questions with probabilities, whether it's worth keeping.
If it is, jevmem writes one line to JEVMEM.md in your repo.
Next session, the lines that matter for your prompt go back to Claude.

Change your mind, and the old line is crossed out: kept for history, not sent to Claude. Your team gets the same file through git.

jevmem keeps decisions, rules, bugs, to-dos and dead ends (an approach that was tried and failed, with the reason).

- [superseded] We'll use SQLite as the primary store for now. → id:cuasaq

[decision] Switch the primary store to Postgres 16.
[constraint] Node 20 is the minimum supported version, and CI runs Node 20 and 22.

About these lines

Each line also carries a comment with its id, time and confidence, left out above. The full lines:

- [superseded] We'll use SQLite as the primary store for now. → id:cuasaq  <!-- id:21ycba ts:2026-09-26T13:46:34.703Z conf:1.00 by:cuasaq -->

[decision] Switch the primary store to Postgres 16.
[constraint] Node 20 is the minimum supported version, and CI runs Node 20 and 22.

Real lines from 0.5.7's default writer, which 0.5.8 to 0.5.10 did not change (the run, 2026-09-26). It kept one sentence of each turn: the Postgres turn also said "SQLite locks up under concurrent writes", and that reason was left out. Since 0.6.0 the line is made from the sentences Jev picks, the one that states the memory and the one that gives its reason (What's new). With writer set, an OpenAI or Anthropic model condenses the whole turn instead.

Does it work?

In 72 real Claude Code sessions for each setup, Claude acted on the saved line about as often with jevmem as with the same lines in a hand-written CLAUDE.md, and in fewer than half the sessions with neither.

	No project memory	jevmem	Same lines in `CLAUDE.md`
Followed the project's decision	28 of 72	66 of 72	67 of 72
Tried a change the project forbids	10 of 18	0 of 18	0 of 18
Repeated an approach that had already failed	3 of 15	0 of 15	0 of 15

So jevmem did about as well as a hand-written CLAUDE.md, without you writing it. CLAUDE.md did better on a convention nothing in the prompt points at (3 of 3 against 0 of 3), measured on 0.6, where jevmem brought a line back only for a prompt it bears on. Since 0.7.1 jevmem marks a rule every change must follow always-on and sends it at the start of every session: on six held-out tasks written for that gap, Claude followed the convention in 14 of 18 sessions with 0.7.0 and 18 of 18 with 0.7.1, as with the same lines in a hand-kept CLAUDE.md (what's new, limits). How the sessions were run, and every row: the benchmark page.

The guard

Before Claude runs a command or edits a file, jevmem checks it against your saved rules. If one might break, Claude Code asks you first:

jevmem: this may break a saved rule: "Never commit .env files" (JEVMEM.md)

On a test of 274 tool calls, a set the guard was not tuned on, it caught 66 of 68 rule breaks and asked about 3 or 4 of the 206 calls that broke no rule (one run each on 0.6.0 and 0.6.1). It's a backstop, not a sandbox: it looks at the words a rule and a call share. Since 0.7.0, jevmem trust lets a rule you added by hand block a call in the guard's block mode, not only ask about it. How the guard works.

Side pane

A pane beside your Claude Code chat shows what jevmem just did: the memory lines it gave Claude for your prompt, what its guard said about a command, and the line it saved from the turn, each with why, wrong and forget buttons. The two that change JEVMEM.md ask first; a rule is retired in a terminal only. It reads three local files and sends nothing anywhere.

/plugin install jevmem-pane@jevmem

It is a second plugin from the jevmem marketplace (the jevmem plugin itself still ships no code), for Claude Code 2.1.299 or newer; it opens on its own in a terminal 144 columns wide or wider and in the desktop app's Code tab, and /jevmem opens or closes it anywhere. What each block shows, and what was measured: docs/pane.md.

Install

You need a TypeSafe API key, which jevmem's requests are billed to, and Claude Code 2.1.273 or later.

In the Claude app: Plugins → Discover → jevmem → Add.
Install the CLI the plugin runs:

   npm install -g jevmem

In your project's folder, finish the setup in one go (it asks for your key without showing it, turns jevmem on in that folder, and checks the setup):

   jevmem setup

Start Claude Code in that project. If you start it before the setup is done, the plugin says once what is left; jevmem doctor checks the setup any time.

Other ways to install: the jevmem marketplace, npm, Cursor, Codex

From the jevmem marketplace:

npm install -g jevmem

claude plugin marketplace add Avinash-jetwani/jevmem claude plugin install jevmem@jevmem claude plugin install jevmem-pane@jevmem # the side pane (0.7.5), optional cd your-project && jevmem setup

With npm only (also sets up Cursor and Codex):

npm install -g jevmem

cd your-project jevmem init --tool claude # or cursor, codex, claude-desktop, all

In Cursor, the jevmem plugin (0.7.6) carries the hooks, the MCP server and the rule for every window: install it from the Cursor Marketplace once it is listed there, or copy this repository's cursor-plugin/ folder to ~/.cursor/plugins/local/jevmem and reload the window; then jevmem setup in each project (the steps).

Already have a CLAUDE.md? jevmem import shows what it would add from it; --apply writes it.

Every step, and what to do if the plugin can't find the CLI: docs/install.md.

Works with

Saving is automatic in Claude Code and, since 0.7.4, in Cursor, where Cursor's hooks save each finished agent turn (since 0.7.6 from the jevmem plugin for Cursor, or from the files jevmem init --tool cursor writes); and in Codex while jevmem watch runs. Cursor, Codex and Claude Desktop reach jevmem over MCP, a standard way for an AI tool to call another program, when the agent asks for it; the Cursor plugin's server runs in every window, while a project's own .cursor/mcp.json server starts off until you turn it on once (the step). In Cursor, on 10 held-out chats captured before the code (24 turns), the first run paired 21 of 24 turns whole, the prompt with the whole reply; a reader fix came from that run, and the second run paired 24 of 24, with what to save right in 21 of 24 (measured).

	Saving	Bringing it back
Claude Code	Automatic, every turn	Automatic, every prompt
Codex	Automatic while `jevmem watch` runs	When the agent asks, over MCP

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