Penfield Memory

io.github.penfieldlabs由 GitHub 账号 penfieldlabs 发布v1.22.0更新于 Oct 25, 2026

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

发布方自己的服务:Memory.fit

已验证Streamable HTTP可网页运行知识与记忆

概览

AI 生成的概览

Penfield Memory 是一个远程 MCP 服务器,为 AI 助手提供跨会话、跨工具的持久记忆和知识图谱。

可以做什么
跨会话和工具存储、回忆、搜索、获取和更新记忆,并用关键词、语义与图谱混合搜索找回内容。把记忆连接或断开为知识图谱,并探索记忆之间的关联。在会话开始时加载身份与近期工作上下文、回顾近期活动,并保存、恢复或列出上下文检查点。保存、获取、列出和删除工件。所有已连接工具共享同一份记忆与图谱。
适用场景
适合需要让助手在会话之间记住偏好、决策和调查线索,在编码会话之间交接上下文,或为研究与写作构建不断增长的想法关联图谱的场景。
运行要求
远程端点 mcp.penfield.app,需在客户端中作为自定义连接器或 MCP 服务器添加。需要 Penfield 账户(需注册),并在提示时完成 OAuth 认证。部分客户端通过 mcp-remote 代理连接,需要 Node.js。
安装前请注意
需要通过 OAuth 登录第三方托管服务,存储的记忆、上下文和工件保存在 Penfield 的服务器上并在已连接工具间同步。助手可以更新和删除已存储的记忆与工件,请留意其写入或删除的内容。避免在记忆中存放密钥或敏感个人数据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Penfield Memory,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.penfieldlabs%2Fpenfield-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "penfield-memory": {
      "type": "http",
      "url": "https://mcp.penfield.app/"
    }
  }
}

README

Penfield

Persistent memory for AI agents. Store decisions, preferences, and context that survive across sessions. Build knowledge graphs that compound over time. Works with Claude, Cursor, Windsurf, Gemini CLI, and any MCP-compatible tool.


Quick Start

Claude (Desktop, Mobile, Web)

Add as a custom connector in Settings → Connectors:

Name: PenfieldRemote MCP server URL: https://mcp.penfield.app

Claude Code

bash
claude mcp add --transport http --scope user penfield https://mcp.penfield.app

Cursor

One-click install:

Install Penfield in Cursor

Cut and paste into your browser:

cursor://anysphere.cursor-deeplink/mcp/install?name=Penfield&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIm1jcC1yZW1vdGUiLCJodHRwczovL21jcC5wZW5maWVsZC5hcHAvIl19

Or add manually to ~/.cursor/mcp.json:

json
{  "mcpServers": {    "Penfield": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]    }  }}

Windsurf, Cline, Roo Code, and Others

Add to your MCP configuration file:

json
{  "mcpServers": {    "Penfield": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]    }  }}
AppConfig Location
Windsurf~/.codeium/windsurf/mcp_config.json
ClineVS Code Settings → Cline → MCP Servers
Roo CodeVS Code Settings → Roo Code → MCP Servers
Zed~/.config/zed/settings.json under "context_servers"

Gemini CLI

bash
gemini mcp add penfield -- npx -y mcp-remote https://mcp.penfield.app/

Or add to ~/.gemini/settings.json:

json
{  "mcpServers": {    "Penfield": {      "command": "npx",      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]    }  }}

What You Get

17 tools for persistent memory:

CategoryTools
Memorystore, recall, search, fetch, update_memory
Knowledge Graphconnect, disconnect, explore
Contextawaken, reflect, save_context, restore_context, list_contexts
Artifactssave_artifact, retrieve_artifact, list_artifacts, delete_artifact

Hybrid search combining BM25 (keyword), vector (semantic), and graph (connections) for recall that actually finds what you need.

Cross-platform sync — same memory, same knowledge graph, regardless of which tool you connect from.


How It Works

  1. Sign up at portal.penfield.app/sign-up
  2. Connect using one of the methods above
  3. Authenticate when prompted (OAuth flow)
  4. Start using — your agent now has persistent memory

Every session should start with:

awaken()     # Load identity and personality contextreflect()    # Orient on recent work (default: last 7 days)

Without these, your agent starts cold with no context.


Documentation


Use Cases

Personal assistant that remembers

  • Your preferences compound over time
  • Picks up conversations where you left off
  • Learns how you like things done

Development workflows

  • Track investigation threads across sessions
  • Remember architectural decisions and why they were made
  • Hand off context between coding sessions

Research and writing

  • Build knowledge graphs of connected ideas
  • Store insights and corrections as understanding evolves
  • Checkpoint progress on long-running projects

Also Available

OpenClaw Native Plugin — If you use OpenClaw, the native plugin is 4-5x faster (no MCP proxy layer):

bash
openclaw plugins install openclaw-penfieldopenclaw penfield login

openclaw-penfield on GitHub · openclaw-penfield on npm

API — Direct HTTP access at api.penfield.app for custom integrations.


Links

[penfield-mcp MCP server]


Copyright © 2025 Penfield™. All rights reserved.

来源:README.md,提交 00b8cd8

工具

0
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版本历史

1
  1. v1.22.0最新Sep 16, 2026

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