# MemoryAI

> MemoryAI — toozuuu-memoryai. Use this tool when you need to retain and recall large amounts of information, and selectively share relevant data. MemoryAI solves the problem of information overload by providing a universal, local-first long-term memory solution for various AI models, including Claude Code, Cursor, Codex, and MCP. It takes in vast amounts of data as input and outputs concise, relevant information, making it ideal for use cases where data filtering and prioritization are crucial.

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

## Description

Remember everything. Send only what matters. Universal, local-first long-term memory for Claude Code, Cursor, Codex, and MCP.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/toozuuu/MemoryAI)

## 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": "toozuuu-memoryai"
    }
  }
}
```

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