Vector Memory (Windows) for OpenClaw

Full memory stack for OpenClaw on Windows. Includes LanceDB semantic memory, git-notes decision memory, and memory hygiene workflow.

Vector Memory (Windows)

Complete memory engineering bundle for OpenClaw.

Included Modules

• bundle/lancedb-memory: semantic storage and retrieval backend
• bundle/git-notes-memory: branch-aware git-notes long-term memory
• bundle/memory-hygiene: cleanup and maintenance playbook

Why use this bundle

• Works on Windows out of the box.
• Keeps compatibility with existing memory APIs.
• Provides both retrieval and governance, not only storage.

Quick Start

1. Install LanceDB dependencies:

pip install -r bundle/lancedb-memory/requirements.txt

2. For semantic memory backend, import from:

• bundle/lancedb-memory/final_memory.py
• bundle/lancedb-memory/clawdbot_memory.py

3. For branch-aware memory:

python bundle/git-notes-memory/memory.py -p . sync --start

4. Apply hygiene recommendations from:

• bundle/memory-hygiene/SKILL.md

Storage Defaults

• Windows: D:\clawtest\memory\lancedb
• Unix-like: ~/.clawdbot/memory/lancedb

You can override with:

• OPENCLAW_LANCEDB_PATH
• CLAWTEST_ROOT (Windows)