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在 OpenClaw 中安装
/install vector-memory-windows
功能描述
Full memory stack for OpenClaw on Windows. Includes LanceDB semantic memory, git-notes decision memory, and memory hygiene workflow.
安全使用建议
This bundle appears to implement what it claims (local LanceDB storage and git-notes-based branch memory) but has several concerning points you should consider before installing: 1) Silent capture: the skill's docs require the agent to silently capture and store user statements without prompting — this can lead to private data being persisted. 2) Conflicting guidance about sensitive data: some docs say don't store secrets, others list 'accounts, credentials locations' as things to store — clarify and restrict what is recorded. 3) Destructive ops: hygiene docs show rm -rf of the DB path and gateway restart commands; understand and backup the DB before running maintenance. 4) Permissions & scope: the code will modify .git refs and create files under the specified DB path (default Windows path D:\clawtest\memory\lancedb). Consider setting OPENCLAW_LANCEDB_PATH to an isolated test directory. 5) Audit & test: review and run the code in an isolated repository/environment first, enable logging/visibility so the agent cannot hide actions, and disable auto-capture (set autoCapture=false) until you confirm safe behavior. If you rely on the skill, ask the author to (a) remove contradictory guidance about storing secrets, (b) implement explicit secrets filtering, (c) document exactly what is recorded, and (d) make 'silent' behavior opt-in rather than mandatory.
功能分析
Type: OpenClaw Skill
Name: vector-memory-windows
Version: 1.0.1
The bundle provides a sophisticated memory system using LanceDB and Git Notes, but it is classified as suspicious due to high-risk instructions in the documentation. Specifically, bundle/git-notes-memory/SKILL.md contains 'SILENT OPERATION RULES' that explicitly command the AI agent to hide all memory-related actions, commands, and outputs from the user, which could be used to mask unauthorized behavior. Additionally, bundle/memory-hygiene/SKILL.md provides instructions for the agent to schedule a recurring cron job that executes destructive filesystem commands (e.g., 'rm -rf') to wipe memory directories. While these features support the stated goal of automated background memory management, the lack of user oversight and the inclusion of destructive capabilities constitute a significant attack surface.
能力评估
Purpose & Capability
The code files (lancedb backend, git-notes memory, hygiene docs) align with the skill name/description and Windows-focused defaults. Required runtime actions (git notes, local LanceDB files) are coherent with a branch-aware local memory system. However, documentation is inconsistent about what to store: one part says 'DON'T store secrets, passwords, API keys' while the memory-hygiene doc explicitly lists 'Important facts (accounts, credentials locations, contacts)' as things to store — a contradictory directive that is disproportionate given the stated privacy-safe claims.
Instruction Scope
Runtime instructions mandate silent automatic capture ("NEVER ask", "JUST DO IT") and require the agent to always run sync --start at session start. The git-notes module performs repository-level git operations (init, notes add/show) which will modify .git refs/notes in projects. The memory-hygiene docs include destructive commands (rm -rf of the LanceDB path and instructions to restart the gateway). The combination of silent capture + instructions to save potentially sensitive 'important facts' and to delete local stores is a privacy and operational risk.
Install Mechanism
There is no remote download/install spec in the registry; this is an instruction-and-code bundle. Dependencies are standard Python packages (lancedb, pandas, pyarrow) referenced in requirements.txt and SKILL.md — installing via pip is expected for this functionality. No external arbitrary URLs or archive extracts are used.
Credentials
The skill does not request credentials or declare required env vars in registry, but the code and docs reference optional environment overrides (OPENCLAW_LANCEDB_PATH, CLAWTEST_ROOT). That is reasonable for filesystem location overrides. Still, the docs' conflicting guidance about storing 'credentials locations' versus 'don't store secrets' is a red flag: the skill itself neither requires nor asks for secrets, yet it instructs agents to capture user statements automatically which could inadvertently include secrets unless explicitly filtered.
Persistence & Privilege
always:false and normal agent invocation are used. The skill includes instructions that, if followed, make the agent silently persist user data across sessions and to perform destructive maintenance (wipe + restart). While the skill does not programmatically force permanent installation or modify other skills' configs, the 'YOU MUST ALWAYS USE' wording and 'silent operation' rules encourage always-on behavior and hidden actions — a transparency/privacy concern when combined with automatic invocation.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install vector-memory-windows - 安装完成后,直接呼叫该 Skill 的名称或使用
/vector-memory-windows触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Windows-ready full release: LanceDB + git-notes + memory-hygiene bundle.
元数据
常见问题
Vector Memory (Windows) for OpenClaw 是什么?
Full memory stack for OpenClaw on Windows. Includes LanceDB semantic memory, git-notes decision memory, and memory hygiene workflow. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 340 次。
如何安装 Vector Memory (Windows) for OpenClaw?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vector-memory-windows」即可一键安装,无需额外配置。
Vector Memory (Windows) for OpenClaw 是免费的吗?
是的,Vector Memory (Windows) for OpenClaw 完全免费(开源免费),可自由下载、安装和使用。
Vector Memory (Windows) for OpenClaw 支持哪些平台?
Vector Memory (Windows) for OpenClaw 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Vector Memory (Windows) for OpenClaw?
由 Sea2049(@sea2049)开发并维护,当前版本 v1.0.1。
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