# Vector Memory Windows

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

- Skill: `dvcrn/vector-memory-windows` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add dvcrn/vector-memory-windows`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/vector-memory-windows/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/dvcrn/vector-memory-windows

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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:

```bash
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:

```bash
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)