An AI-powered personal geography assistant that transforms natural language stories into structured, interactive memory maps using Amap services.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amap-memory-map
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install amap-memory-map using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Memory Map (amap-memory-map)?
Memory Map is a specialized skill designed for Openclaw Skills that acts as a warm, technical memory curator. It allows users to pin life experiences, travel footprints, and personal stories directly onto a digital map using simple natural language. By integrating with the Amap (Gaode) Open Platform, it automatically converts descriptive locations into precise geographic coordinates.
The skill provides a rich, multi-dimensional view of your past by combining spatial data with environmental context. Beyond simple markers, it reconstructs the atmosphere of your memories by fetching historical weather data and nearby points of interest (POIs), turning a simple list of locations into a vivid, searchable, and exportable digital archive of your life journey.
Memory Map (amap-memory-map) Use Cases
- Documenting personal travel history and vacation footprints using natural language descriptions.
- Creating a chronological timeline of life events tied to specific geographic locations.
- Reconstructing the context of past memories by retrieving local weather and landmark information.
- Generating structured GeoJSON data for external map visualization projects.
- Analyzing personal 'memory density' to see which cities or provinces hold the most significant life stories.
How Memory Map (amap-memory-map) Works
- The user provides a memory in natural language (e.g., 'I rode a bike by West Lake in Hangzhou in the summer of 2023').
- The skill extracts location entities, timestamps, and narrative details from the text.
- It calls the Amap Geocoding API to convert descriptions into precise longitude and latitude coordinates.
- Reverse Geocoding is used to enrich the data with specific business districts, street addresses, and nearby landmarks.
- The weather query API fetches the atmospheric conditions for that location to enhance the memory's context.
- A structured Memory Card is generated and saved, and the data can be aggregated into a visual timeline or regional clusters.
Memory Map (amap-memory-map) Setup
To use this skill within Openclaw Skills, you must configure your Amap API credentials:
- Register a developer account at the Amap Open Platform.
- Create a new application in the console and select the Web Service type.
- Obtain your API Key and set it as an environment variable:
export AMAP_API_KEY='your_amap_api_key_here'
Memory Map (amap-memory-map) Data Schema & Taxonomy
The skill organizes memory data into structured formats for both display and export. The primary export format is GeoJSON, which follows this taxonomy:
| Field | Description | Example |
|---|---|---|
| title | A brief headline for the memory | West Lake Cycling |
| date | Timestamp of the event | 2023-06 |
| coordinates | Longitude and Latitude pair | [120.148732, 30.242490] |
| story | The original narrative description | It was very hot that day... |
| city | The detected urban area | Hangzhou |
| poi_nearby | List of local landmarks | Broken Bridge, Bai Causeway |
Memory Map (amap-memory-map) Advanced Features
- Timeline Playback: String together memory points in chronological order to calculate total travel mileage and pathing.
- Regional Clustering: Automatically group memories by province or city to visualize geographic density with bar charts.
- Contextual Enrichment: Automatically searches for POIs (Points of Interest) around your memory locations to fill in missing details.
- Privacy-First Design: Processes all memory data locally within the session, ensuring personal stories aren't stored on external servers.
- GeoJSON Export: Support for exporting your entire memory database into standard GeoJSON for use in professional GIS software.
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