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SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server

local only

SlashML (/ml) Persistent Agent Memory & Code Localization runs on your own machine — the client starts it, so there is no endpoint to ping. 2 406 installs a week from pypi. Last commit 9 Nov 2026.

Persistent conversational memory, behavioral code search, and bug localization for AI agents.

Installs per day peak 498 · avg 61 · +84% w/w
a month agotoday
2 406
Installs / week
npm · @slashml/mcp
0
Stars
0 open issues
9 Nov 2026
Last commit
8 releases in 90 days
—
License
JavaScript

What the code does

We read the source, 19 h ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

            tracked_proc = subprocess.run(
In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

const res = spawnSync(process.execPath, [mcpBin, "--code-mode", ...process.argv.slice(2)], {
Reads files and sends them to the network mcp/bin/slashml-mcp.js:753, typescript/bin/cli.js:753
      for (const entry of fs.readdirSync(geminiPluginsRoot, { withFileTypes: true })) {

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add ml-memory -e 'SLASHML_API_KEY=<SLASHML_API_KEY>' -- npx -y @slashml/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ml-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@slashml/mcp"
      ],
      "env": {
        "SLASHML_API_KEY": "<SLASHML_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.ml-memory]
command = "npx"
args = ["-y", "@slashml/mcp"]
env = { SLASHML_API_KEY = "<SLASHML_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "ml-memory": {
      "command": "npx",
      "args": [
        "-y",
        "@slashml/mcp"
      ],
      "env": {
        "SLASHML_API_KEY": "<SLASHML_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "ml-memory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@slashml/mcp"
      ],
      "env": {
        "SLASHML_API_KEY": "<SLASHML_API_KEY>"
      }
    }
  }
}

Put your own value in place of <SLASHML_API_KEY> (Your SlashML API key (sml_live_...) from https://app.slashml.ai). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: SLASHML_USER_ID (Optional default user or workspace namespace).

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SlashML (/ml) Persistent Agent Memory & Code Localization — questions

Answers built from our own checks of this server.

Why is there no uptime for SlashML (/ml) Persistent Agent Memory & Code Localization?
SlashML (/ml) Persistent Agent Memory & Code Localization runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @slashml/mcp was installed 2 406 times last week.
How do I connect SlashML (/ml) Persistent Agent Memory & Code Localization?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @slashml/mcp straight from npm; nothing to host, nothing to sign up for.
How many people use SlashML (/ml) Persistent Agent Memory & Code Localization?
The npm package @slashml/mcp was installed 2 406 times in the last week. Week over week that is +84%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is SlashML (/ml) Persistent Agent Memory & Code Localization open source?
We cannot say either way: written in JavaScript and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.