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jevmem

by Avinash-jetwaniversion 0.7.6i★ –iRuns on your computer
Registry nameio.github.Avinash-jetwani/jevmem

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory
  • You need to fill in: TYPESAFE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: TYPESAFE_API_KEY, JEVMEM_ROOT, TYPESAFE_BASE_URL, JEVMEM_CACHE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • TYPESAFE_API_KEY secret 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/.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Avinash-jetwani, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7270 servers in this category
  • Published to the registry more recently than 68% of the other 7270 servers in this category
  • Basic checks equal to or better than 100% of the other 7270 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is jevmem safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TYPESAFE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.6) reached the registry 18 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
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Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

  1. You decide something in a chat: "We use Postgres."
  2. jevmem asks Jev by TypeSafe AI, a model that answers yes/no questions with probabilities, whether it's worth keeping.
  3. If it is, jevmem writes one line to JEVMEM.md in your repo.
  4. 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 memoryjevmemSame lines in CLAUDE.md
Followed the project's decision28 of 7266 of 7267 of 72
Tried a change the project forbids10 of 180 of 180 of 18
Repeated an approach that had already failed3 of 150 of 150 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.

  1. In the Claude app: Plugins → Discover → jevmem → Add.
  2. Install the CLI the plugin runs:
   npm install -g jevmem
  1. 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).

SavingBringing it back
Claude CodeAutomatic, every turnAutomatic, every prompt
CodexAutomatic while jevmem watch runsWhen the agent asks, over MCP

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