Multimodal Memory

Store and retrieve visual content — user images, charts, diagrams, website UIs — across conversations.

Important: Image Analysis

The primary model may not support vision. Always use analyze.py to analyze images — it calls GPT-4o directly via API and does not rely on your own vision capability.

Storage Location

All data lives in ~/.multimodal-memory/:

• images/ — saved copies of captured images
• metadata.db — SQLite database (auto-created)
• memory.md — human-readable summary (auto-updated)

Read ~/.multimodal-memory/memory.md at session start for a quick overview.

Scenarios & Actions

1. User Sends an Image / Chart / Diagram

When a user sends an image, OpenClaw saves it locally and provides the file path in the message context (look for a path like /tmp/... or ~/.openclaw/...).

Run analyze.py with that path — it calls GPT-4o to analyze and stores the result automatically:

python {baseDir}/scripts/analyze.py \
  --image-path "/absolute/path/to/image.jpg" \
  --source "image"

For charts use --source "chart", for diagrams use --source "image".

If you cannot find the file path in the message context, ask the user:

"请问这张图片保存在哪个路径？或者你可以直接粘贴文件路径给我。"

2. User Asks to Capture / Remember a Website

Step 1 — take the screenshot:

python {baseDir}/scripts/capture_url.py --url "https://example.com"

The script prints the saved screenshot path.

Step 2 — analyze and store it:

python {baseDir}/scripts/analyze.py \
  --image-path "/path/printed/above.png" \
  --source "website" \
  --url "https://example.com"

3. User Searches by Text

python {baseDir}/scripts/search.py --query "login screen dark theme"

Show results with descriptions and image paths.

4. User Sends an Image to Search (find similar memories)

Step 1 — analyze the query image to get its description:

python {baseDir}/scripts/analyze.py \
  --image-path "/path/to/query/image.jpg" \
  --source "image"

Step 2 — the analysis is stored; also search for similar past content using the description keywords:

python {baseDir}/scripts/search.py --query "key concepts from the analysis output"

Step 3 — present matching memories and explain why they're relevant.

5. List Recent Memories

python {baseDir}/scripts/list.py --limit 20

Core Rules

• Never try to analyze images yourself — always delegate to analyze.py.
• After storing, confirm to user: description + tags saved.
• Image paths must be absolute.
• The --extra-tags arg accepts comma-separated additional tags.

One-Time Setup for URL Capture

If capture_url.py fails:

pip install playwright && python -m playwright install chromium

Script Reference

Script	Purpose	Key args
analyze.py	Analyze image with GPT-4o + store	--image-path, --source, --url, --extra-tags
store.py	Store pre-analyzed result	--image-path, --description, --tags, --source, --url
search.py	Text search	--query, [--limit N]
list.py	List memories	[--limit N]
capture_url.py	Screenshot a URL	--url