memoir

memoir

An MCP memory server that gives AI tools persistent memory across sessions, tools, and machines. It supports 11 AI coding tools, with features like sync, migrate, and consolidate.

Category
Visit Server

README

<div align="center">

memoir

Sync AI memory across every coding tool. Zero config.

npm version npm downloads GitHub stars License: MIT

</div>

npx memoir-cli

One command. No install, no config, no API keys. Your AI now has persistent memory across sessions, tools, and machines. Works with Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, and 6 more tools.


What it does

memoir is an MCP memory server that gives your AI tools persistent memory. Your AI can search, save, and recall context automatically — like a Claude Code backup that works everywhere.

you: how does auth work in this project?

  memoir_recall("auth setup architecture")
  Found 3 memories matching "auth"

claude: Based on your previous sessions: this project uses JWT auth
  with refresh tokens, the middleware is in src/middleware/auth.ts,
  and you chose Zustand over Redux for auth state (decided March 12).

No re-explaining. memoir remembered.

Quick start

npx memoir-cli

That's it. memoir detects your AI tools, configures MCP, and activates memory. No global install needed.

Your AI gets 14 memory tools:

MCP Tool What it does
memoir_recall Search across all your AI memories
memoir_remember Save context for future sessions
memoir_list Browse all memory files by tool
memoir_read Read a specific memory in full
memoir_consolidate Analyze memories for duplicates, staleness, and bloat
memoir_status See which AI tools are detected
memoir_profiles Switch between work/personal
memoir_set_goal Set the current session goal (pinned into CLAUDE.md)
memoir_add_next Add a next action to the current session
memoir_complete_next Mark a next action as done
memoir_note Record a decision with its rationale
memoir_ask Capture an open question for later
memoir_session Show goals, next actions, decisions, and recent sessions
memoir_why Look up why a past decision was made

Why memoir

Your AI forgets everything between sessions. You re-explain your codebase, your conventions, your decisions — every time.

memoir fixes this by giving your AI a shared memory layer that works across every tool you use. Tell Claude something once. Cursor knows it too. Sync AI memory between tools, back it up to the cloud, restore it on any machine. And when your memories pile up, memoir consolidate cleans house — finds duplicates, flags stale context, and optionally uses AI to merge and prune.

11 tools supported: Claude Code, Cursor, Windsurf, Gemini CLI, GitHub Copilot, OpenAI Codex, ChatGPT, Aider, Zed, Cline, Continue.dev.

Sync across machines

memoir push       # back up AI memory + workspace + session
memoir restore -y # restore on any machine

Push syncs AI memory, cursorrules, session context, workspace (git repos + uncommitted work), and project configs. E2E encrypted with AES-256-GCM.

Translate between AI tools

memoir migrate --from chatgpt --to claude
# AI-powered — rewrites conventions, not copy-paste

memoir migrate --from chatgpt --to all
# Translate to every tool at once

Consolidate memories

memoir consolidate          # scan for duplicates, stale files, bloat
memoir consolidate --smart  # AI-powered analysis (finds contradictions + merge candidates)
memoir consolidate --apply  # interactively clean up

Over time, memories pile up across tools. Consolidate finds exact and near-duplicates, flags files untouched for 60+ days, and catches contradictions where you told Claude one thing and Cursor another. With --smart, Gemini Flash does a semantic pass and suggests intelligent merges.

Cloud sync

memoir login
memoir cloud push      # encrypted cloud backup
memoir cloud restore   # restore from any version
memoir history         # view backup versions
memoir share           # create encrypted shareable link

All Commands

Command What it does
memoir activate Enable auto-recall in this project
memoir deactivate Remove memoir from this project
memoir push Back up AI memory + workspace + session
memoir restore Restore everything on a new machine
memoir status Show detected AI tools
memoir migrate Translate memory between tools via AI
memoir snapshot Capture current coding session
memoir resume Pick up where you left off
memoir encrypt Toggle E2E encryption
memoir profile Manage profiles (personal/work)
memoir cloud push Back up to memoir cloud
memoir cloud restore Restore from memoir cloud
memoir share Create encrypted shareable link
memoir consolidate Find duplicates, stale memories, and bloat
memoir doctor Diagnose issues
memoir diff Show changes since last backup
memoir view Preview what's in your backup
memoir update Self-update to latest version

Security

  • E2E encryption — AES-256-GCM with scrypt key derivation
  • Secret scanning — API keys, tokens, passwords auto-redacted before sync
  • Local MCP server — runs on your machine, no data sent externally
  • Zero-knowledge cloud — encrypted before upload

Links

MIT Licensed

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured