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Supermemory
作者
iPythoning
· GitHub ↗
· v1.2.0
· MIT-0
132
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install sdr-supermemory
功能描述
Store, recall, and semantically search conversation insights using a vector memory engine to enhance customer interactions and context.
安全使用建议
This skill's documentation and code disagree in important ways. SKILL.md promises embeddings, a cloud provider requiring an API key, and automatic capture of conversation signals, but the included sm.mjs is a local CLI that stores JSON files and does only keyword search. Before installing or enabling this skill: 1) Ask the author to explain how 'auto-capture' works and what sources it will read (chat logs, transcripts, other files). 2) Confirm whether a Supermemory Cloud API key or embedding model is required and ensure any credentials would be declared and limited to the required scope. 3) Note that the skill writes persistent files to ~/.openclaw/memory/vectors (or OPENCLAW_HOME) — do not allow it to store sensitive PII without encryption or retention controls. 4) The JavaScript has a probable bug (uses await import inside a non-async function) — request a corrected implementation. 5) If you still want to try it, run the skill in a sandbox or test account, review the code locally, and restrict OPENCLAW_HOME to a safe directory; do not enable any undocumented autonomous 'auto-capture' behavior until you have a precise, auditable implementation. If the author can provide an updated package where the code implements (or explicitly omits) the documented cloud/auto-capture behaviors and lists any required env vars, rerun this evaluation.
功能分析
Type: OpenClaw Skill
Name: sdr-supermemory
Version: 1.2.0
The skill provides a local semantic memory layer for storing and retrieving conversation insights. The implementation in sm.mjs uses standard file system operations to manage JSON files in a local directory (~/.openclaw/memory/vectors) and lacks any network activity, data exfiltration, or suspicious execution patterns. A minor coding error in the forgetMemory function (use of await in a non-async function) would cause that specific command to fail, but it does not present a security vulnerability.
能力评估
Purpose & Capability
SKILL.md describes a vector DB/embedding pipeline, Supermemory Cloud (API key required), and automatic capture of conversation insights. The included runtime (sm.mjs) does not call any external APIs, embedding providers, or vector DBs — it simply writes/reads JSON files under ~/.openclaw/memory/vectors and performs keyword matching. The documentation therefore overstates capabilities and mentions credentials (cloud API key, embedding_model) that are not declared or used in the code.
Instruction Scope
SKILL.md claims an 'Auto-Capture' feature that automatically extracts and stores customer preferences, price signals, competitive mentions, etc., but it provides no concrete source for those captures (chat logs, transcripts) and the included CLI does not implement auto-capture. This gives ambiguous authority to the agent to 'auto-capture' conversation data if the integration were extended — a potential privacy/data-exfiltration risk unless precisely scoped. The SKILL.md also references configuration templates ({{embedding_model}}) not declared elsewhere.
Install Mechanism
There is no installer or external downloads. The skill is instruction-only with one included code file (sm.mjs). Nothing in the package fetches remote archives or executes installer scripts, which keeps install risk low.
Credentials
Registry metadata declares no required env vars, but the code reads OPENCLAW_HOME and HOME (to determine MEMORY_DIR) and SKILL.md references an external Supermemory Cloud API key and embedding_model placeholders that are not declared. That mismatch (undocumented credential requirement) is suspicious. Also the skill persists potentially sensitive conversation data to the user's home directory by default.
Persistence & Privilege
The skill persists memories to disk under OPENCLAW_HOME or ~/.openclaw/memory/vectors. It does not request always:true and does not modify other skill configurations, but it will create and retain files in the user's home directory (potential PII). This is expected for a memory engine, but you should be aware of where data will be stored and how it is protected.
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 sdr-supermemory - 安装完成后,直接呼叫该 Skill 的名称或使用
/sdr-supermemory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
v1.2.0
Security: data boundary enforcement
v1.1.0
WhatsApp dmPolicy defaults to open for all contacts.
元数据
常见问题
Supermemory 是什么?
Store, recall, and semantically search conversation insights using a vector memory engine to enhance customer interactions and context. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 132 次。
如何安装 Supermemory?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sdr-supermemory」即可一键安装,无需额外配置。
Supermemory 是免费的吗?
是的,Supermemory 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Supermemory 支持哪些平台?
Supermemory 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 Supermemory?
由 iPythoning(@ipythoning)开发并维护,当前版本 v1.2.0。
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