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

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

SlashML (/ml) Persistent Agent Memory & Code Localization scores 55 (Fair), with no SPDX license recorded. It installs as a local process. It does not declare tools yet. Filed under AI and memory. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by slashml-aiNo license
InstallView on GitHub
Trust score
55Fair
Trust score 55 of 100, Fair

Fair trust

55 of 100 from six public signals. Nobody can buy a point.

  • Listed in the official MCP registry.
  • No license recorded.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 55 comes from

22 + 20 + 0 + 0 + 10 + 3 = 55. Each factor is capped, so no single signal can carry a listing.

Registry22 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 22 of 30 points.
Maintenance20 / 20

How recently the repository saw a commit or release.

Maintenance: 20 of 20 points.
Popularity0 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 0 of 20 points.
License0 / 10

A clear, OSI-style open-source license.

License: 0 of 10 points.
Security10 / 10

Not archived, a secure install path, a pinned version.

Security: 10 of 10 points.
Docs3 / 10

A real summary, a README with depth, listed tools.

Docs: 3 of 10 points.

Install

Pick your client, copy the config, paste it in.

Add to Cursor: SlashML (/ml) Persistent Agent Memory & Code LocalizationInstall in VS Code: SlashML (/ml) Persistent Agent Memory & Code LocalizationInstall in VS Code Insiders: SlashML (/ml) Persistent Agent Memory & Code Localization

Needs Cursor or VS Code installed on this device. The button opens the app and asks you to confirm before it adds the server.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "slashml-ai-ml-memory": {      "command": "npx",      "args": [        "-y",        "@slashml/mcp@1.0.11"      ],      "env": {        "SLASHML_API_KEY": "YOUR_SLASHML_API_KEY",        "SLASHML_USER_ID": ""      }    }  }}
Install guide

Environment variables

NameRequiredNotes
SLASHML_API_KEYSecretRequiredYour SlashML API key (sml_live_...) from https://app.slashml.ai
SLASHML_USER_IDOptionalOptional default user or workspace namespace
SLASHML_API_KEYSecretRequiredYour SlashML API key (sml_live_...) from https://app.slashml.ai

Tools

All capabilities

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

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

Frequently asked questions

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

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

How do I install SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server runs locally from the npm package @slashml/mcp with the command npx -y @slashml/mcp@1.0.11.

Does SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server support remote (HTTP) connections?

No remote endpoint is listed for SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server. It runs locally on your machine over stdio, started by your MCP client.

How is SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server's trust score calculated?

SlashML (/ml) Persistent Agent Memory & Code Localization MCP Server scores 55 out of 100 (Fair). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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