# KEZAI Cultural Memory

> KEZAI Cultural Memory — app-kezai-memory. Use this tool when you need to manage cross-media memories for AI assistants, providing personalized recommendations, tracking progress, and controlling actions. It solves problems related to information fragmentation and disorganization, offering a private and unified memory space. Ideal for use cases requiring tailored suggestions, progress monitoring, and controlled interactions, with inputs including user data and preferences, and outputs such as customized recommendations and action plans.

Canonical page: https://skillsregistry.net/skills/app-kezai-memory  
JSON: https://api.skillsregistry.net/v1/skills/app-kezai-memory

## Description

Private cross-media memory for AI assistants: recommendations, progress and controlled actions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.kezai%2Fmemory)

## Use it

MCP endpoint published by the skill: `https://mcp.kezai.app/mcp`

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": "app-kezai-memory"
    }
  }
}
```

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