memxus

Memxus is multi-platform persistent memory for AI assistants.

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What it can do

  • Remember: Save important information to long-term memory. Always set collection when the topic is clear: project work → project:<slug>, personal tastes → personal:preferences. Use append_to to extend
  • Recall: Search long-term memory. Pass collection (and/or tags, type) to search only that scope — e.g. collection=project:henry-memory for project questions, collection=personal:preferences for tastes.
  • Get Context: Build a formatted context block for the current topic. Use collection to limit results to one domain (project, preferences, etc.).

What data it sees

Do you need an account

No: the server works without sign-in

Memxus is multi-platform persistent memory for AI assistants. Save project context, preferences, and decisions once — recall them in Claude, ChatGPT, Cursor, and other MCP clients.

What it does

  • Remember — store facts, preferences, and project context with collections and tags
  • Recall — semantic search across your memories
  • Get context — formatted context blocks for the current topic
  • Manage — list, inspect, update scope, and delete memories

Connect

  • OAuth (recommended): sign in with Google via your Memxus dashboard
  • API key: create an aimem_* key at dashboard.memxus.com

MCP endpoint: https://mcp.memxus.com/mcp
Docs: memxus.com/docs/mcp
Install: memxus.com/install
Privacy: memxus.com/privacy

Tools

remember, recall, get_context, list_memories, get_memory, list_collections, forget, memory_stats

Built for developers and power users who work across multiple AI tools without repeating the same context every session.

How to connect

How to connect memxus to Claude

The server address to paste into Claude settings:

https://memxus--memxus.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect memxus to ChatGPT

The server address to paste into ChatGPT settings:

https://memxus--memxus.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect memxus to Cursor

The server address to paste into Cursor settings:

https://memxus--memxus.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (8)

Raw names from tools/list. Only developers need these.

rememberSave important information to long-term memory. Always set collection when the topic is clear: project work → project:<slug>, personal tastes → personal:preferences. Use append_to to extend an existing memory instead of creating duplicates.
recallSearch long-term memory. Pass collection (and/or tags, type) to search only that scope — e.g. collection=project:henry-memory for project questions, collection=personal:preferences for tastes.
get_contextBuild a formatted context block for the current topic. Use collection to limit results to one domain (project, preferences, etc.).
list_memoriesList recent memories. Filter by collection, tags, or type to browse one group.
get_memoryGet the full content of a single memory by its UUID (from list_memories or recall).
list_collectionsList memory collections (folders/scopes) for this user. Use slugs in remember/recall/get_context.
forgetDelete a specific memory by ID.
memory_statsShow statistics about stored memories (by type and collection).