Penfield Memory

io.github.penfieldlabsPublished by GitHub account penfieldlabsv1.22.0Updated Oct 25, 2026

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

The publisher's own server: Memory.fit

VerifiedStreamable HTTPWeb executableKnowledge & Memory

Server details

Identifier: io.github.penfieldlabs/penfield-mcp
Transport: Streamable HTTP
Runtime: Web executable
Trust: Verified
Published: Sep 16, 2026

Security note

MCP servers receive tool arguments from a conversation and may perform external actions. Review what a server can do before you enable it, and give it only the access it needs.

The registry verified the GitHub account penfieldlabs for this listing. That does not show the account is the product's maker.

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Overview

AI-generated overview

Penfield Memory is a remote MCP server that gives an AI assistant persistent memory and a knowledge graph across sessions and tools.

What you can do: Store, recall, search, fetch and update memories across sessions and tools, using hybrid keyword, semantic and graph search to find them again. Connect and disconnect memories into a knowledge graph, and explore the connections between them. Load identity and recent-work context at session start, reflect on recent activity, and save, restore or list context checkpoints. Save, retrieve, list and delete artifacts. The same memory and graph are shared across every connected tool.
When to use it: Useful when an assistant should remember preferences, decisions and investigation threads between sessions, hand off context between coding sessions, or build a growing graph of connected ideas for research and writing.
Requirements: A remote endpoint at mcp.penfield.app, added as a custom connector or MCP server in the client. A Penfield account (sign-up required) and OAuth authentication when prompted. Some clients connect through the mcp-remote proxy, which needs Node.js.

Before you install

Requires OAuth sign-in to a third-party hosted service, so stored memories, context and artifacts are kept on Penfield's servers and synced across connected tools. The assistant can update and delete stored memories and artifacts, so review what it writes or removes. Avoid storing secrets or sensitive personal data in memories.

Installation

In SourceWeft

Open Penfield Memory in the dashboard and add it to a workspace.
Connect the required credentials. They are stored privately and never shown on public pages.
Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.penfieldlabs%2Fpenfield-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "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:

Claude Code

Cursor

One-click install:

Install Penfield in Cursor

Cut and paste into your browser:

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

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/"]    }  }}

{  "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/"]    }  }}

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

App	Config Location
Windsurf	`~/.codeium/windsurf/mcp_config.json`
Cline	VS Code Settings → Cline → MCP Servers
Roo Code	VS Code Settings → Roo Code → MCP Servers
Zed	`~/.config/zed/settings.json` under `"context_servers"`

Gemini CLI

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

json

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

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

What You Get

17 tools for persistent memory:

Category	Tools
Memory	`store`, `recall`, `search`, `fetch`, `update_memory`
Knowledge Graph	`connect`, `disconnect`, `explore`
Context	`awaken`, `reflect`, `save_context`, `restore_context`, `list_contexts`
Artifacts	`save_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

Sign up at portal.penfield.app/sign-up
Connect using one of the methods above
Authenticate when prompted (OAuth flow)
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)

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

Without these, your agent starts cold with no context.

Documentation

Tools Reference — All 17 tools with parameters and examples
Memory Types — The 11 memory types and when to use each
Relationships — The 24 relationship types for connecting memories
AI Agent Guide — Instructions for AI agents using Penfield

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):

openclaw-penfield on GitHub · openclaw-penfield on npm

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

Tools

This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

v1.22.0LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
License10 pts

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Penfield Memory

Overview

Installation

In SourceWeft

Use with an agent

Other MCP clients

README

Penfield

Quick Start

Claude (Desktop, Mobile, Web)

Claude Code

Cursor

Windsurf, Cline, Roo Code, and Others

Gemini CLI

What You Get

How It Works

Documentation

Use Cases

Also Available

Links

Tools

Version history

Score

Other Memory integrations

Memory.fit

pg.ddx.io: the PostgreSQL community's memory

var.gg Naming Memory

Counterparts

LAHZE - Persian AI Memory Platform