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khli01

MemoryLayer

作者 khli01 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
1934
总下载
7
收藏
10
当前安装
1
版本数
在 OpenClaw 中安装
/install memorylayer
功能描述
Semantic memory for AI agents. 95% token savings with vector search.
安全使用建议
This skill is a straightforward client for a remote MemoryLayer service and mostly does what it says, but there are a few things to check before installing: - Credential mismatch: The package registry metadata says no env vars are required, but both SKILL.md and the code expect either MEMORYLAYER_API_KEY or MEMORYLAYER_EMAIL and MEMORYLAYER_PASSWORD. Confirm which credentials are required and where they'll be stored. - Remote data flow: Using the skill will send stored memories (the content you pass to remember()) to https://memorylayer.clawbot.hk. Do not send secrets, private keys, or highly sensitive personal data unless you have reviewed the service's privacy/security policy and trust the operator. - Prefer API key: Use an API key with least privilege over an account email/password where possible. Avoid putting credentials in source files; use environment variables or secret management. - Verify publisher and code: The repo URL and homepage are present — inspect the upstream GitHub repo, check commit history, and verify the domain TLS cert and privacy policies. If you need higher assurance, run the package in an isolated environment first or prefer the advertised self-hosted Enterprise option. - Ask for clarification: If you plan to install this into a production or highly-privileged agent, ask the publisher to correct the registry metadata to declare required env vars and to provide an audited package release. Given the metadata inconsistency but otherwise coherent behavior, treat the skill as potentially useful but verify credentials handling and trust of the remote service before use.
功能分析
Type: OpenClaw Skill Name: memorylayer Version: 1.0.0 The skill bundle provides client libraries (Node.js and Python) for interacting with the 'MemoryLayer' semantic memory service hosted at `https://memorylayer.clawbot.hk`. All code (`index.js`, `python/memorylayer_skill.py`) and documentation (`SKILL.md`, `README.md`) consistently direct network traffic and credential handling (via environment variables) to this legitimate service for authentication and memory operations. There is no evidence of data exfiltration to unauthorized endpoints, malicious execution, persistence mechanisms, or obfuscation. The use of 'prompt injection' in `SKILL.md` and code refers to injecting retrieved memories into an LLM's prompt, which is the skill's intended function, not a malicious instruction to the agent itself. Dependencies (`axios`, `requests`) are standard HTTP clients.
能力评估
Purpose & Capability
Name, description, code, and examples all consistently implement a remote semantic-memory client that talks to https://memorylayer.clawbot.hk. Requiring an API key or email/password is expected for this purpose. However, the published registry metadata lists no required environment variables or primary credential even though both the SKILL.md and the code expect MEMORYLAYER_API_KEY or MEMORYLAYER_EMAIL/MEMORYLAYER_PASSWORD — this mismatch is a packaging/documentation inconsistency.
Instruction Scope
Runtime instructions and SKILL.md confine the agent to authenticating and calling the remote MemoryLayer API (store/search/get_context/stats). Example scripts read or simulate reading local MEMORY.md to demonstrate token savings, which is relevant to the feature; nothing in the SKILL.md tells the agent to scan unrelated system files or exfiltrate other credentials.
Install Mechanism
There is no remote download/install step in the skill bundle (instruction-only + included wrapper code). Included Node and Python wrappers use standard HTTP libraries (axios/requests) and no obfuscated or external install URL is used. Dependencies are standard and appear from npm/PyPI; package-lock and requirements are present. Risk from install mechanism is low.
Credentials
The code and SKILL.md require credentials (MEMORYLAYER_API_KEY or MEMORYLAYER_EMAIL/ MEMLAYER_PASSWORD), which are appropriate for a hosted memory service. The concern is the registry metadata declares no required env variables or primary credential — a mismatch that could mislead users into not providing needed secrets correctly or failing to realize where secrets are used. Also note the skill will send any stored memory content to the remote domain; do not store sensitive secrets or PII in memories unless you trust the service and its policy.
Persistence & Privilege
Flags show default invocation rules (always:false, autonomous invocation allowed). The skill does not request persistent system privileges, modify other skills, or create system-wide config. It keeps auth tokens only in the process memory (singleton instance) and does not write them to disk.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install memorylayer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /memorylayer 触发
  4. 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
v1.0.0
Initial release of MemoryLayer skill. - Semantic memory infrastructure for AI agents with 95% token savings via vector search. - Features semantic search, sub-200ms retrieval speed, and multi-tenant isolation. - Easy setup with free tier (10,000 ops/month & 1GB storage) and straightforward credential configuration. - Provides simple APIs for storing and recalling memories in both JavaScript and Python. - Supports episodic, semantic, and procedural memory types with metadata tagging. - Includes advanced usage tracking and transparent pricing plans.
元数据
Slug memorylayer
版本 1.0.0
许可证
累计安装 10
当前安装数 10
历史版本数 1
常见问题

MemoryLayer 是什么?

Semantic memory for AI agents. 95% token savings with vector search. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1934 次。

如何安装 MemoryLayer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install memorylayer」即可一键安装,无需额外配置。

MemoryLayer 是免费的吗?

是的,MemoryLayer 完全免费(开源免费),可自由下载、安装和使用。

MemoryLayer 支持哪些平台?

MemoryLayer 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 MemoryLayer?

由 khli01(@khli01)开发并维护,当前版本 v1.0.0。

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