Vector Memory (Windows) for OpenClaw

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name: vector-memory-windows description: Full memory stack for OpenClaw on Windows. Includes LanceDB semantic memory, git-notes decision memory, and memory hygiene workflow.

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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)

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