Is io.github.marerem/longmem safe to use?

io.github.marerem/longmem has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.marerem/longmem?

io.github.marerem/longmem can be installed by cloning its GitHub repository and following the setup instructions in the README.

Is io.github.marerem/longmem actively maintained?

io.github.marerem/longmem is actively maintained — last commit was 0 days ago. It has 1 GitHub stars.

io.github.marerem/longmem

Persistent cross-project memory for Cursor and Claude Code using local semantic search.

ActiveNot tested

Search AI / ML

★ 1GitHub

29DNo CVEsactive

Quick Install

{
  "mcpServers": {
    "io-github-marerem-longmem": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-marerem-longmem)](https://mcppedia.org/s/io-github-marerem-longmem)

Should you use this server?

Cross-project memory for AI coding assistants. Stop solving the same problems twice.

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 0 days ago. 1 stars.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

Loading README…

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Score Breakdown

MCPpedia Score

Click each category to see evidence

29D

Last scored 15h ago

How we score →

Security

2/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

○

Tool stability — First scan — baseline recorded

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.marerem/longmem safe to use?: io.github.marerem/longmem has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.marerem/longmem?: io.github.marerem/longmem can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.marerem/longmem?: io.github.marerem/longmem is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
Is io.github.marerem/longmem actively maintained?: io.github.marerem/longmem is actively maintained — last commit was 0 days ago. It has 1 GitHub stars.

Similar servers

View all →

Brave Search MCP Server

OfficialNo CVEs98A

Web and local search using Brave Search API

2 toolsstdio84.0k24.8k/wk3d ago

Sequential Thinking MCP Server

OfficialNo CVEs98A

Dynamic problem-solving through sequential thought chains

1 toolsstdio84.0k112.2k/wk3d ago

XcodeBuildMCP

OfficialNo CVEs97A

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

2 toolsremote5.2k46.6k/wk1d ago

Tavily Mcp

OfficialNo CVEs96A

Production ready MCP server with real-time search, extract, map & crawl.

4 toolsremote1.8k77.6k/wk1d ago

MCP Security Weekly

Get CVE alerts and security updates for io.github.marerem/longmem and similar servers.

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Cross-project memory for AI coding assistants.
Stop solving the same problems twice.

Your AI solves the same bug in a different project six months later. Writes the same boilerplate. Explains the same pattern. You already knew the answer.

longmem gives your AI a persistent memory that works across every project and every session. Before reasoning from scratch, it searches what you've already solved. After something works, it saves it. The longer you use it, the less you repeat yourself.

You describe a problem
        │
        ▼
  search_similar()
  ┌─────────────────────────────────────────────────────┐
  │  1. pre-filter by category (ci_cd / auth / db / …)  │
  │  2. semantic search  (Ollama or OpenAI embeddings)   │
  │  3. keyword search   (SQLite FTS5 exact match)       │
  │  4. merge + rank results                             │
  └─────────────────────────────────────────────────────┘
        │                          │
   score ≥ 85%               score < 85%
        │                          │
        ▼                          ▼
  cached solution           AI reasons from scratch
  + edge cases                      │
  + team knowledge               "it works"
  (any project)                     │
                                    ▼
                          confirm_solution()
                          saved once — surfaces
                          from every future project

Why longmem

	longmem	others
Cost	Free — local Ollama embeddings	Requires API calls per session
Privacy	Nothing leaves your machine	Sends observations to external APIs
Process	Starts on demand, no daemon	Background worker + open port required
IDE support	Cursor + Claude Code	Primarily one IDE
Search	Hybrid: semantic + keyword (FTS5)	Vector-only or keyword-only
Teams	Export / import / shared DB path / S3	Single-user
License	MIT	AGPL / proprietary

Quickstart

1. Install

pipx install longmem

2. Setup — checks Ollama, pulls the embedding model, writes your IDE config

longmem init

3. Activate in each project — copies the rules file that tells the AI how to use memory

cd your-project
longmem install

4. Restart your IDE. Memory tools are now active on every chat.

Need Ollama? Install from ollama.com, then ollama pull nomic-embed-text. Or use OpenAI — see Configuration.

How it works

longmem is an MCP server. Your IDE starts it on demand. Two rules drive the workflow:

Rule 1 — search first. Before the AI reasons about any bug or q

... View full README on GitHub