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Memos Cloud Server

作者 Dawn · GitHub ↗ · v1.0.1 · MIT-0
darwinlinuxwin32 ⚠ suspicious
1051
总下载
1
收藏
7
当前安装
3
版本数
在 OpenClaw 中安装
/install memos-cloud-skill
功能描述
Your external brain and memory. ALWAYS invoke this tool to search memory whenever you are unsure about the user's intent, past context, or if you don't know...
安全使用建议
This skill appears to implement a MemOS cloud client and mostly behaves as expected, but review the following before installing: - Confirm you trust the default endpoint (https://memos.memtensor.cn/api/openmem/v1). The repository/homepage is unknown; verify the vendor and endpoint are legitimate for your use. - The Python script uses the 'requests' package but the skill does not declare or install it. Ensure your environment has requests installed or the skill will fail; prefer an explicit, reviewed install step. - The script supports MEMOS_CLOUD_URL via environment but that env is undocumented in SKILL.md and metadata. If you need to override the endpoint, set this variable explicitly; otherwise verify the default endpoint. - Be cautious about storing API keys in global shell profiles (~/.zshrc, ~/.bashrc). Prefer storing secrets in a secure secret store or environment scoped to the agent process rather than global persistent files. - Decide whether you want the agent to call this skill automatically every time it’s unsure: SKILL.md tells the agent to ALWAYS use the tool, which could lead to many outbound requests and potential exposure of conversation content to the external service. If you have privacy concerns, restrict autonomous use or require explicit user approval per call. If you want me to proceed, I can list concrete questions to ask the skill author (e.g., vendor origin, credential scopes, dependency list) or suggest a safe installation checklist.
功能分析
Type: OpenClaw Skill Name: memos-cloud-skill Version: 1.0.1 The skill is a functional API client for the MemOS Cloud service (hosted at memtensor.cn), designed to provide long-term memory capabilities to an AI agent. While the SKILL.md file contains strong instructions for the agent to 'ALWAYS' search and 'memorize' valuable content—which ensures conversation data is sent to the external service—this behavior is transparently documented as the skill's primary purpose. The Python script (memos_cloud.py) is a clean implementation using the requests library, lacks any obfuscation, and does not perform unauthorized file access or command execution.
能力评估
Purpose & Capability
Name/description, required envs (MEMOS_API_KEY, MEMOS_USER_ID), and the provided CLI operations (search, add_message, delete, add_feedback) are consistent with a memory cloud client.
Instruction Scope
SKILL.md instructs the agent to always invoke this tool when unsure (a strong behavioral directive but within the declared purpose). It also tells the agent to prompt the user to add secrets to their global shell config (~/.zshrc, ~/.bashrc) if they're missing — this is privacy-sensitive (asking the user to store a secret globally) and should be handled cautiously.
Install Mechanism
No install spec (instruction-only) which minimizes disk writes, but the included Python script imports the third-party 'requests' package while only 'python3' is declared as a required binary. The skill does not document installing 'requests' or other Python dependencies — this mismatch will break the script or cause ad-hoc installs at runtime.
Credentials
The required envs (API key and user id) are appropriate for a cloud memory client. However: (1) the script also reads MEMOS_CLOUD_URL (an undocumented optional env) and defaults to https://memos.memtensor.cn/api/openmem/v1 — that outbound endpoint is not documented in SKILL.md or metadata; (2) SKILL.md encourages storing credentials in global shell files, which increases blast radius if the env is persisted insecurely.
Persistence & Privilege
The skill is not marked 'always' and does not request system-level persistence. It doesn't attempt to modify other skills or system settings. Autonomous invocation is allowed (default), which combined with the 'ALWAYS invoke' guidance in SKILL.md can lead to frequent external calls — consider policy around when the agent should call the skill.
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 memos-cloud-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /memos-cloud-skill 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
v1.0.1
- Updated SKILL.md to clarify tool invocation policy: agents must always use the MemOS cloud memory for uncertainty or valuable memories. - Rewrote and streamlined documentation, removing bilingual content and focusing entirely on English instructions. - Removed redundant documentation files (README.md, README_zh.md) to reduce duplication. - No user-facing API or command changes. All scripts and usage examples remain unchanged.
v1.0.0
- Initial release of memos-cloud-skill. - Added comprehensive documentation in both English and Chinese (README.md, README_zh.md). - Provides commands for searching, adding, deleting memories, and submitting feedback to MemOS Cloud. - Requires configuration of MEMOS_API_KEY and MEMOS_USER_ID environment variables. - Usage examples and setup instructions included in documentation.
v0.1.0
Initial release of memos-cloud-skill. - Adds support for MemOS Cloud Server API: search, add, delete messages, and add feedback to cloud memory. - Requires `MEMOS_API_KEY` and `MEMOS_USER_ID` environment variables for use. - Provides detailed usage instructions for memory search, message addition, deletion, and feedback commands via `memos_cloud.py`. - Supports macOS, Linux, and Windows platforms.
元数据
Slug memos-cloud-skill
版本 1.0.1
许可证 MIT-0
累计安装 7
当前安装数 7
历史版本数 3
常见问题

Memos Cloud Server 是什么?

Your external brain and memory. ALWAYS invoke this tool to search memory whenever you are unsure about the user's intent, past context, or if you don't know... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1051 次。

如何安装 Memos Cloud Server?

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

Memos Cloud Server 是免费的吗?

是的,Memos Cloud Server 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Memos Cloud Server 支持哪些平台?

Memos Cloud Server 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux, win32)。

谁开发了 Memos Cloud Server?

由 Dawn(@xiaohuisu)开发并维护,当前版本 v1.0.1。

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