# memxus

> Use this tool when you need to retain project context and preferences across multiple AI platforms, such as Claude, ChatGPT, and Cursor. Memxus solves the problem of repeated context setup by storing facts, preferences, and project context, allowing for semantic search and recall of memories. It provides a simple interface with tools like `remember`, `recall`, and `get_context`, making it ideal for developers and power users working with multiple AI tools.

Canonical page: https://skillsregistry.net/skills/memxus-memxus  
JSON: https://api.skillsregistry.net/v1/skills/memxus-memxus

## Description

**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](https://dashboard.memxus.com)

**MCP endpoint:** `https://mcp.memxus.com/mcp`  
**Docs:** [memxus.com/docs/mcp](https://www.memxus.com/docs/mcp)  
**Install:** [memxus.com/install](https://www.memxus.com/install)  
**Privacy:** [memxus.com/privacy](https://www.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.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/memxus/memxus)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "memxus-memxus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/memxus-memxus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/memxus-memxus/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt