MCP AutoMem

Name: MCP AutoMem
Author: verygoodplugins

by verygoodpluginsversion 0.10.0i★ –iComputer or cloud

Registry nameio.github.verygoodplugins/mcp-automem

Install

Overview

Description from the maker (original English)

Graph-vector memory for AI assistants using FalkorDB and Qdrant

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP, SSE
Category: Search & AI memory
You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "automem": {
      "command": "npx",
      "args": [
        "-y",
        "@verygoodplugins/mcp-automem"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http automem 'https://{endpoint}/mcp' --header 'Authorization: your-value'

Or run it on your computer

claude mcp add automem -- npx -y @verygoodplugins/mcp-automem

Fill in the empty values before running it.

The address contains {…} parts that only you know (such as your account), so copy it and fill them in.

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "automem": {
      "url": "https://{endpoint}/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "automem": {
      "command": "npx",
      "args": [
        "-y",
        "@verygoodplugins/mcp-automem"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

The address contains {…} parts that only you know (such as your account), so copy it and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "automem": {
      "type": "http",
      "url": "https://{endpoint}/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "automem": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@verygoodplugins/mcp-automem"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

Authorization secret HTTP header
Bearer token for authentication (optional if using URL-based auth with ?api_token=...)

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account verygoodplugins, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
The address needs your own account values, so we cannot check it for you
– Not applicable
Sign-in with OAuth
The address needs your own account values, so we cannot check it for you
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7266 servers in this category
Published to the registry more recently than 1% of the other 7266 servers in this category
Basic checks equal to or better than 100% of the other 7266 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP AutoMem safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.10.0) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AutoMem MCP: Give Your AI Perfect Memory

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

npx @verygoodplugins/mcp-automem install

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](https://github.com/verygoodplugins/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

Platform	Support	Setup Time
Claude Desktop	✅ Full	30 seconds
Cursor IDE	✅ Full	30 seconds
Claude Code	✅ Full	30 seconds
GitHub Copilot	✅ Full	2 minutes
OpenAI Codex	✅ Full	30 seconds
OpenClaw	✅ Full	30 seconds
Hermes Agent	✅ Full	30 seconds
Grok Build	✅ Full	30 seconds
Google Antigravity	✅ Full	30 seconds
Any MCP client	✅ Full	30 seconds

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 project rules to recall context and save durable memories during work_

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](INSTALLATION.md).

Quick Start

1. Set Up AutoMem Service

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

Option A: Local Development (fastest, free)

git clone https://github.com/verygoodplugins/automem.git

cd automem make dev

Service runs at http://localhost:8001 - perfect for single-machine use.

Option B: Railway Cloud (recommended for production)

One-click deploy with $5 free credits. Typical cost: ~$0.50-1/month after trial.

👉 [AutoMem Service Installation Guide](https://github.com/verygoodplugins/automem/blob/main/INSTALLATION.md) - Complete setup instructions for local, Railway, Docker, and production deployments.

2. Install MCP Client

Claude Desktop - One-Click Install

Download the extension, then open Settings → Extensions → Advanced settings → Install Extension in Claude Desktop and select the file:

[⬇️ Download AutoMem for Claude Desktop (.mcpb)](https://github.com/verygoodplugins/mcp-automem/releases/latest/download/mcp-automem.mcpb)

After installing:

Claude Desktop will prompt you for your AutoMem API URL (http://127.0.0.1:8001 for local)
Optionally enter your API Key (required for Railway, skip for local)
Click Enable

The bundle includes a fixed version of the MCP server. To update, download and install the latest `.mcpb` again; restarting Claude or updating the npm package does not upgrade an installed bundle. See updating Claude Desktop for version checks and migration from JSON configuration. The AutoMem backend runs separately.

Then add the paste-ready Personal Preferences starter from templates/CLAUDE_DESKTOP_INSTRUCTIONS.md. That's it: Claude now has persistent memory and knows when to use it.

Other Platforms

Connect your AI tools to the AutoMem service you just started.

# Guided install - pick where AutoMem runs, verify it, write .env, and

configure your agents (Codex, Claude Code, Cursor, OpenClaw, Hermes)

npx @verygoodplugins/mcp-automem install

Every change is shown in a review plan before anything is written, and each modified file keeps a .bak backup. Add --dry-run to preview, --yes to apply non-interactively. See the Installation Guide for all flags.

setup is an alias of install. To print config snippets again later, use npx @verygoodplugins/mcp-automem config.

3. Platform-Specific Setup

For Claude Code (plugin — recommended):

# In Claude Code:

/plugin marketplace add verygoodplugins/mcp-automem /plugin install automem@verygoodplugins-mcp-automem

Claude Code prompts for your AutoMem URL and API key at enable time, bundles the MCP server and silent recall/store-tracking hooks, and auto-updates. Prefer hooks and permissions written directly into ~/.claude/ instead? Run npx @verygoodplugins/mcp-automem claude-code.

On Windows, the hook payload assumes a POSIX shell environment such as Git Bash, MSYS2, or WSL — only bash is required (the hooks are pure bash+sed).

For Cursor IDE:

Run the guided installer from your project and select Cursor:

npx @verygoodplugins/mcp-automem install

By default this installs the AutoMem Cursor plugin into ~/.cursor/plugins/local/automem (MCP server, session-start recall hook, and always-on rule); then open Cursor → Customize → Automem → Configure and enter your endpoint and key. --cursor-mode files instead writes ~/.cursor/mcp.json plus project memory rules and a session-start hook. Already have an endpoint? Use npx @verygoodplugins/mcp-automem cursor --endpoint https://your-automem.example.

The one-click button configures only the MCP server for a local AutoMem instance. Update its endpoint/key in Cursor if needed, then run the CLI above to add project rules and the hook:

Other platforms — Claude Desktop (one-click .mcpb above, plus the Personal Preferences template), OpenAI Codex, Hermes Agent, Grok Build, OpenClaw, Google Antigravity, and GitHub Copilot:

👉 [Full Installation Guide](INSTALLATION.md) for every platform's setup and verification steps

Remote MCP via HTTP

An optional sidecar service (deployable to Railway or any Docker host) connects AutoMem to platforms that support remote MCP over Streamable HTTP or SSE — ChatGPT (Developer Mode connectors), Claude.ai web and Claude Mobile, and ElevenLabs Agents.

👉 [Remote MCP setup](INSTALLATION.md#remote-mcp-via-http-sidecar) for deployment, connect URLs, and per-platform screenshots.

Architecture

┌─────────────────────────────────────────────┐

│ Your AI Platforms │ │ Claude Desktop │ Cursor │ Claude Code │ └──────────────┬──────────────────────────────┘ │ MCP Protocol ▼ ┌──────────────────────────────────────────────┐ │ @verygoodplugins/mcp-automem (this repo) │ │ • Translates MCP calls → AutoMem API │ │ • Platform integrations & rules │ │ • Handles authentication │ └──────────────┬───────────────────────────────┘ │ HTTP API ▼ ┌──────────────────────────────────────────────┐ │ AutoMem Service (separate repo) │ │ github.com/verygoodplugins/automem │ │ ┌────────────┐ ┌────────────┐ │ │ │ FalkorDB │ │ Qdrant │ │ │ │ (Graph) │ │ (Vectors) │ │ │ └────────────┘ └────────────┘ │ └──────────────────────────────────────────────┘

This repo (mcp-automem):

MCP client that connects AI platforms to AutoMem
Platform-specific integrations (Cursor rules, Claude Code hooks, etc.)
Setup wizards and configuration tools

[AutoMem service](https://github.com/verygoodplugins/automem):

Backend memory service with graph + vector storage
Deployment guides (local, Railway, Docker, production)
API server with FalkorDB + Qdrant

Features

Core Memory Operations

`store_memory` — Save memories with content, tags, importance, metadata. Two modes:
Single (default): top-level content plus optional fields, including embedding, t_valid, t_invalid, custom id.
Batch: memories: [...] (≤500 items) for bulk ingestion. Per-item id/embedding/t_valid/t_invalid are not supported in batch mode.
`recall_memory` — Three modes selected by which params you pass:
ID fetch: memory_id → fetches one memory by ID; updates last_accessed.
Tag enumeration: tags + exhaustive: true → paginated exact-match listing for cleanup/audit workflows where ranked recall undercounts. Pair with limit (≤200) and offset; returns has_more, plus next_offset for the next page while more remain.
Ranked retrieval (default): hybrid search across vector, keyword, tags, recency/state controls, score filters, and graph expansion. Supports state_mode, recency_bias, scope_fallback, expand_respect_tags, min_score, adaptive_floor, and diagnostics such as tag_scope, score_filter, query_time_ms, vector_search, and per-result outside_tag_scope/state_replaces.
`associate_memories` — Create relationships (11 public authorable types; recall results may also include read-only system relations). Supports single-pair mode

Only the beginning is shown; read the rest in the repo

MCP AutoMem

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

AutoMem MCP: Give Your AI Perfect Memory

The Problem We Solve

What You Get

🧠 Persistent Memory Across Sessions

🏆 Graph-Vector Architecture

🚀 Works Everywhere You Code

See It In Action

Claude Desktop with Personal Preferences

Cursor IDE with Memory Rules

Claude Code with Session Memory

Quick Start

1. Set Up AutoMem Service

2. Install MCP Client

Claude Desktop - One-Click Install

Other Platforms

configure your agents (Codex, Claude Code, Cursor, OpenClaw, Hermes)

3. Platform-Specific Setup

Remote MCP via HTTP

Architecture

Features

Core Memory Operations