P
pinkpixel-dev/mem0-mcp
Long-term memory for agents, as a drop-in mem0 server
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"pinkpixel-dev-mem0-mcp": {
"command": "npx",
"args": ["-y", "@pinkpixel/mem0-mcp"]
}
}
}解析自我们于 2026-11-04 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"pinkpixel-dev-mem0-mcp": {
"command": "npx",
"args": ["-y", "@pinkpixel/mem0-mcp"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio pinkpixel-dev-mem0-mcp -- npx -y @pinkpixel/mem0-mcp
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx -y @pinkpixel/mem0-mcp
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx -y @pinkpixel/mem0-mcp。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# @pinkpixel/mem0-mcp MCP Server ✨
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A Model Context Protocol (MCP) server that integrates with Mem0.ai to provide persistent memory capabilities for LLMs. It allows AI agents to store and retrieve information across sessions.
This server uses the mem0ai Node.js SDK for its core functionality.
## Features 🧠
### Modernized & Advanced Tools (v0.8.0)
addmemory: Stores a memory from text content or structured message arrays.
Inputs: content (string) or messages (array of role/content objects), userId (string), runId / sessionId (string), agentId (string), appId (string), metadata (object), infer (boolean), customInstructions (string), waitForCompletion (boolean, default: true), timeoutMs (number, default: 15000)
Behavior: Cloud V3 additions are asynchronous. By default, this tool polls the background queue until completed. Pass waitForCompletion: false to get the eventId immediately.
searchmemories: Searches memories using semantic and BM25 hybrid filters.
Inputs: query (string), userId (string), runId / sessionId (string), agentId (string), appId (string), filters (object), threshold (number), topK (number), rerank (boolean), referenceDate (string)
Behavior: Automatically nests scope variables inside the V3 filters block to prevent API validation errors.
searchmemory: Backward-compatible alias for searchmemories.
listmemories: Paginated listing of memory records scoped by identifiers.
Inputs: userId (string), runId / sessionId (string), agentId (string), appId (string), filters (object), page (number), pageSize (number)
getmemory: Retrieves a single memory record by its ID.
Inputs: memoryId (string)
updatememory: Modifies the text or metadata of an existing memory.
Inputs: memoryId (string), text (string), metadata (object)
deletememory: Deletes a specific memory record by ID.
Inputs: memoryId (string)
getmemoryhistory: Retrieves the audit trail of memory revisions (cloud only).
Inputs: memoryId (string)
getmemorycapabilities: Exposes the feature matrix and support flags of the active backend storage mode.
Inputs: None
batchupdatememories: Performs bulk updates of text contents for multiple memories (cloud only).
Inputs: updates (array of { memoryId: string, text: string } objects)
batchdeletememories: Performs bulk deletions of multiple memories.
Inputs: memoryIds (array of strings), confirm (boolean, must be true to execute)
ratememory: Submits quality feedback evaluation for a memory record (cloud only).
Inputs: memoryId (string), feedback (string: positive, negative, verynegative), reason (string, optional)
getmemoryevent: Manually retrieves details of a specific background event job (cloud only).
Inputs: eventId (string)
listmemoryevents: Lists history logs of background memory processing events (cloud only).
Inputs: page (number), pageSize (number)
creatememoryexport: Initiates an asynchronous memory export query job (cloud only).
Inputs: schema (object), filters (object, optional), exportInstructions (string, optional)
getmemoryexport: Retrieves status and download metadata of a memory export job (cloud only).
Inputs: exportId (string)
## Prerequisites 🔑
This server supports three storage modes:
1. Cloud Storage Mode ☁️ (Recommended for production)
This server uses the mem0ai Node.js SDK for its core functionality.
## Features 🧠
### Modernized & Advanced Tools (v0.8.0)
addmemory: Stores a memory from text content or structured message arrays.
Inputs: content (string) or messages (array of role/content objects), userId (string), runId / sessionId (string), agentId (string), appId (string), metadata (object), infer (boolean), customInstructions (string), waitForCompletion (boolean, default: true), timeoutMs (number, default: 15000)
Behavior: Cloud V3 additions are asynchronous. By default, this tool polls the background queue until completed. Pass waitForCompletion: false to get the eventId immediately.
searchmemories: Searches memories using semantic and BM25 hybrid filters.
Inputs: query (string), userId (string), runId / sessionId (string), agentId (string), appId (string), filters (object), threshold (number), topK (number), rerank (boolean), referenceDate (string)
Behavior: Automatically nests scope variables inside the V3 filters block to prevent API validation errors.
searchmemory: Backward-compatible alias for searchmemories.
listmemories: Paginated listing of memory records scoped by identifiers.
Inputs: userId (string), runId / sessionId (string), agentId (string), appId (string), filters (object), page (number), pageSize (number)
getmemory: Retrieves a single memory record by its ID.
Inputs: memoryId (string)
updatememory: Modifies the text or metadata of an existing memory.
Inputs: memoryId (string), text (string), metadata (object)
deletememory: Deletes a specific memory record by ID.
Inputs: memoryId (string)
getmemoryhistory: Retrieves the audit trail of memory revisions (cloud only).
Inputs: memoryId (string)
getmemorycapabilities: Exposes the feature matrix and support flags of the active backend storage mode.
Inputs: None
batchupdatememories: Performs bulk updates of text contents for multiple memories (cloud only).
Inputs: updates (array of { memoryId: string, text: string } objects)
batchdeletememories: Performs bulk deletions of multiple memories.
Inputs: memoryIds (array of strings), confirm (boolean, must be true to execute)
ratememory: Submits quality feedback evaluation for a memory record (cloud only).
Inputs: memoryId (string), feedback (string: positive, negative, verynegative), reason (string, optional)
getmemoryevent: Manually retrieves details of a specific background event job (cloud only).
Inputs: eventId (string)
listmemoryevents: Lists history logs of background memory processing events (cloud only).
Inputs: page (number), pageSize (number)
creatememoryexport: Initiates an asynchronous memory export query job (cloud only).
Inputs: schema (object), filters (object, optional), exportInstructions (string, optional)
getmemoryexport: Retrieves status and download metadata of a memory export job (cloud only).
Inputs: exportId (string)
## Prerequisites 🔑
This server supports three storage modes:
1. Cloud Storage Mode ☁️ (Recommended for production)
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[](https://anclum.com/zh/s/pinkpixel-dev-mem0-mcp/)
- 来源
- awesome · https://github.com/pinkpixel-dev/mem0-mcp
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