# Anamnese

> Use this tool when you need to manage persistent memory and context across AI assistants, solving problems of data fragmentation and loss of user preferences and tasks. Anamnese takes in user data and AI interactions as inputs, and outputs a unified, encrypted, and portable record of user context, including preferences, tasks, notes, and goals. It provides a user-controlled interface for viewing, editing, exporting, and deleting data, making it ideal for use cases requiring continuous and secure AI assistance.

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

## Description

Anamnese provides persistent memory and context management across AI assistants. The system maintains memory (preferences, relationships, skills), tasks (with deadlines and priorities), notes (searchable documents), goals (progress tracking), and daily planning with Google Calendar integration. All data is encrypted, portable across AI clients, and fully controlled by the user with view, edit, export, and delete capabilities at any time.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anamnese)
- **Repository:** <https://github.com/anamneseai/anamnese-plugin-marketplace>

## 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": "anamnese"
    }
  }
}
```

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