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.
We read the source, 19 h ago · rules 995398eba69f
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(
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)], {
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.
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.
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.
claude mcp add ml-memory -e 'SLASHML_API_KEY=<SLASHML_API_KEY>' -- npx -y @slashml/mcp
{
"mcpServers": {
"ml-memory": {
"command": "npx",
"args": [
"-y",
"@slashml/mcp"
],
"env": {
"SLASHML_API_KEY": "<SLASHML_API_KEY>"
}
}
}
}
[mcp_servers.ml-memory]
command = "npx"
args = ["-y", "@slashml/mcp"]
env = { SLASHML_API_KEY = "<SLASHML_API_KEY>" }
{
"mcpServers": {
"ml-memory": {
"command": "npx",
"args": [
"-y",
"@slashml/mcp"
],
"env": {
"SLASHML_API_KEY": "<SLASHML_API_KEY>"
}
}
}
}
{
"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).
Sub-millisecond persistent memory, behavioral code search, and bug localization for AI agents.
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Answers built from our own checks of this server.