MCP AutoMem

Name: MCP AutoMem
Author: verygoodplugins

作者：verygoodplugins版本 0.10.0i★ –i电脑或云端

注册名称io.github.verygoodplugins/mcp-automem

安装

概览

作者提供的说明（英文原文）

Graph-vector memory for AI assistants using FalkorDB and Qdrant

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 电脑或云端
传输方式: stdio, Streamable HTTP, SSE
分类: 搜索与 AI 记忆
你需要填写：Authorization

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： Authorization

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

或者在你的电脑上运行

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

运行前请先填写空着的值。

地址中有只有你知道的 {…} 部分（例如你的账户），请复制后自行填写。

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

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

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

地址中有只有你知道的 {…} 部分（例如你的账户），请复制后自行填写。

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

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

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 verygoodplugins 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
这个地址需要填入你自己的账户信息，所以我们无法替你检查
– 不适用
使用 OAuth 登录
这个地址需要填入你自己的账户信息，所以我们无法替你检查
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 7270 个服务器的 0%
发布到注册中心的时间比此分类中其他 7270 个服务器的 1% 更新
基础检查结果等于或优于此分类中其他 7270 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

MCP AutoMem 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：Authorization

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.10.0）于10个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者：upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新

安装

Codebase Memory

作者：DeusData

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

在你的电脑上运行★ 48,148MIT21天前更新

安装

Exa

作者：exa-labs

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

在云端运行★ 5,213MIT上个月更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分；其余内容请在仓库中阅读

MCP AutoMem

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

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