MCP.Market

MCP AutoMem MCP server

by verygoodplugins·io.github.verygoodplugins/mcp-automem·v0.10.0·65 stars

Graph-vector memory for AI assistants using FalkorDB and Qdrant

C67/100grade C
What users say
No reviews yet
Be the first
Safety scan
C67/100

full report

Adoption
Established

65 stars188 downloads/wk

Reviews

Write one

Nobody has reviewed MCP AutoMem yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

MCP AutoMem tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

1 high
  • Code scan36 source files scanned25/25
  • Live reliabilityremote unreachable: TypeError: fetch failed0/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityAPI key sent as a header8/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Findings (1)

  • highRemote endpoint did not respondreliability.unreachable

    TypeError: fetch failed

Overall 67/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How MCP AutoMem compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
67/100
higher than 30% of 4,460 AI and agents servers
GitHub stars
65
more than 92% of 2,711 AI and agents servers
Downloads a week
188
more than 73% of 1,538 AI and agents servers with a package

Install MCP AutoMem in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp-automem https://{endpoint}/mcp
Add to Cursor

What the publisher says

From the MCP AutoMem repository's README, as published. We do not edit it. Read it on GitHub

AutoMem MCP: Give Your AI Perfect Memory

One command. Infinite memory. Perfect recall across all your AI tools.

npx @verygoodplugins/mcp-automem setup

Your AI assistant now remembers everything. Forever. Across every conversation.

https://github.com/user-attachments/assets/fd79112b-5158-4320-a054-8c18ab1ea314

The guided installer — npx @verygoodplugins/mcp-automem install walks you through local, hosted, or existing-endpoint setup.

Works with Claude Desktop, Cursor IDE, Claude Code, GitHub Copilot (coding agent), ChatGPT, ElevenLabs, OpenAI Codex, OpenClaw, Hermes, Grok Build, Google Antigravity - any MCP-compatible AI platform.

The Problem We Solve

Every AI conversation starts from zero. Claude forgets your coding style. Cursor can't learn your patterns. Your assistant doesn't remember yesterday's decisions.

Until now.

AutoMem MCP connects your AI to persistent memory powered by AutoMem - a graph-vector memory service.

What You Get

🧠 Persistent Memory Across Sessions

  • AI remembers decisions, patterns, and context forever
  • Works across all MCP platforms - Claude Desktop, Cursor, Claude Code, OpenAI Codex, OpenClaw, Hermes, Grok Build, Google Antigravity
  • Cross-device sync - same memory on Mac, Windows, Linux

🏆 Graph-Vector Architecture

  • 11 public authorable relationship types between memories (recall results may also include read-only system/internal relations that are not valid associate_memories inputs)
  • Research-validated approach (HippoRAG 2: 7% better associative memory)
  • Sub-second retrieval even with millions of memories

🚀 Works Everywhere You Code

See It In Action

Claude Desktop with Personal Preferences

Claude automatically recalls memories using the Personal Preferences template

Cursor IDE with Memory Rules

Cursor uses automem.mdc rule to automatically recall and store memories

Claude Code with Session Memory

Session-start recall plus LLM-judged storage: Claude decides what's durable and stores it via the memory tools

More platform walkthroughs (Codex, Hermes, Antigravity, remote MCP) live in the Installation Guide.

Quick Start

1. Set Up AutoMem Service

You need a running AutoMem service (the memory backend). Choose one:

Option A: Local Development (fastest, free)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

MCP AutoMem: common questions

Is MCP AutoMem MCP server safe?
With care: it is graded C, so read the findings first (67/100). Read the MCP AutoMem safety report
How do I install MCP AutoMem?
It runs remotely at {endpoint}. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does MCP AutoMem need an API key?
Yes. The registry entry asks for Authorization.
Is MCP AutoMem maintained?
The last commit was 36 days ago (2026-09-29). The latest release is v0.10.0.
What can I use instead of MCP AutoMem?
Servers from other publishers that do the same job: Total Agent Memory MCP server, Basic Memory MCP server and IWE (iwe.md) MCP server.
How does MCP AutoMem compare with other AI and agents MCP servers?
safety score 67/100 (higher than 30% of 4,460 AI and agents servers); github stars 65 (more than 92% of 2,711 AI and agents servers); downloads a week 188 (more than 73% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to MCP AutoMem

Same job from other publishers: the closest match first, then the best rated.

  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Memanto
    MCP server for Memanto - persistent semantic memory for any MCP-compatible agent
    A
  • Mnemoverse Memory
    Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
    A

More from verygoodplugins →