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Penfield Memory

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

Source code Website Documentation

What can you do with Penfield Memory?

  • Your preferences compound over time
  • Picks up conversations where you left off
  • Learns how you like things done
  • Track investigation threads across sessions
  • Remember architectural decisions and why they were made
  • Hand off context between coding sessions
  • Build knowledge graphs of connected ideas
  • Store insights and corrections as understanding evolves

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http penfield-memory 'https://mcp.penfield.app/'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "penfield-memory": {
            "type": "http",
            "url": "https://mcp.penfield.app/"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Penfield
  2. Quick Start
  3. What You Get
  4. How It Works
  5. Documentation
  6. Use Cases
  7. Also Available
  8. Links

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: Penfield
Remote MCP server URL: https://mcp.penfield.app
Claude Code
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:

{
  "mcpServers": {
    "Penfield": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"]
    }
  }
}
Windsurf, Cline, Roo Code, and Others

Add to your MCP configuration file:

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

Or add to ~/.gemini/settings.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 context
reflect()    # 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):

openclaw plugins install openclaw-penfield
openclaw penfield login

openclaw-penfield on GitHub · openclaw-penfield on npm

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

Copyright © 2025 Penfield™. All rights reserved.

Frequently asked questions

What is Penfield Memory?

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

How do I install Penfield Memory?

It runs as a remote server. In Claude Code: claude mcp add --transport http penfield-memory 'https://mcp.penfield.app/'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Penfield Memory need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Penfield Memory open source?

Yes. Its code is on GitHub under the AGPL-3.0 license.

Who maintains Penfield Memory?

It is published by penfieldlabs. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.