Persistent Memory for AI Assistants
Penfield gives any AI assistant long-term memory through MCP. Knowledge graphs, semantic search, and document storage that persists across sessions.
New to Penfield? Start here:
- Setup Guide - Create your account and connect to Claude.ai
- Claude Code Setup - Connect to Claude Code in the terminal
- Manus Setup - Connect to Manus
- MCP Remote Setup - Antigravity, Cursor, LM Studio, Windsurf, and more
- Quick Reference - Learn how to use Penfield effectively
Memories are individual pieces of knowledge that persist across sessions. Facts, insights, decisions, corrections, and context from your conversations.
Relationships connect memories into a knowledge graph. Link related ideas, build evidence chains, and create a web of understanding that search can traverse.
Documents you upload get chunked and embedded for search. Each chunk becomes searchable alongside your memories.
Hybrid Search combines BM25 keyword matching, vector similarity, and graph expansion to find relevant memories even when your query doesn't match exact words.
Building integrations? See the API Documentation for endpoints, guides, examples, and schemas.
For AI assistants that connect via Model Context Protocol, see the MCP Integration Guide.
Want to set up Penfield right now? Copy the Install Prompt and paste it into your AI assistant.
- Email: support@penfield.app
- Portal: portal.penfield.app
- Source: github.com/penfieldlabs/docs
© 2026 Penfield™. All Rights Reserved.