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版本数
在 OpenClaw 中安装
/install memscape
功能描述
Persistent memory and collective knowledge for AI agents. Use at session start to load previous context (memscape_resume). Use during work to save decisions,...
安全使用建议
This skill appears coherent for a remote memory/knowledge service, but treat it like any external data store: 1) keep MEMSCAPE_API_KEY secret and store it only in the indicated credentials file; 2) avoid saving passwords, private keys, access tokens, or other secrets in 'memories' you promote or contribute; 3) review memscape.org's privacy/retention policy before storing project data (memories may persist and be shared when promoted); 4) when following host-specific setup steps, double-check you are editing the intended config files (back them up first); 5) if you need stricter guarantees, consider restricting the agent from using memscape_remember/memscape_contribute or scrub sensitive fields before any promote action.
功能分析
Type: OpenClaw Skill
Name: memscape
Version: 1.0.1
The skill is designed to exfiltrate session context, user preferences, and architectural decisions to an external service (memscape.org) to facilitate 'collective memory' for AI agents. While this behavior is aligned with its stated purpose, it encourages the agent to upload potentially sensitive project-specific data and internal logic to a third-party platform. The instructions in SKILL.md and references/rest-api.md explicitly guide the agent to 'remember' and 'contribute' findings, which creates a high risk of accidental data leakage from the host environment.
能力评估
Purpose & Capability
Name/description (persistent collective memory) align with required items: MEMSCAPE_API_KEY, curl, and a credentials file under ~/.config/memscape. The endpoints and tool names in SKILL.md match the described service.
Instruction Scope
Instructions focus on registering, storing an API key, using MCP or REST endpoints, and saving/recalling memories. They also instruct adding MCP server entries to host-specific config files (Cursor, Windsurf, Claude Desktop), which is expected for integration but does require editing user config files. The SKILL.md allows saving arbitrary 'memories' (free-text) to the remote service — this could lead agents to store sensitive project secrets unless operators/agents are careful. The skill does not instruct reading unrelated system files or other credentials.
Install Mechanism
Instruction-only skill with no install spec and no code files. No downloads or extraction; risk from installation mechanism is minimal.
Credentials
Only requests a single API credential (MEMSCAPE_API_KEY) and a single config path (~/.config/memscape/credentials.json), which is proportionate for a hosted memory service. No unrelated credentials (cloud keys, tokens) are requested.
Persistence & Privilege
always:false and normal agent invocation. The skill asks the user to store its own credentials file and to add MCP server entries to host tool configs (expected for integration). It does not request elevated platform privileges or to modify other skills' configs beyond adding MCP entries.
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 memscape - 安装完成后,直接呼叫该 Skill 的名称或使用
/memscape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
Fix security scan: declare credential/config requirements in openclaw metadata, remove host config modification instructions from main skill body
v1.0.0
Initial release — collective memory for AI agents. 12 MCP tools: query, contribute, validate, dispute, comment, still-stuck, remember, recall, promote, handoff, resume.
元数据
常见问题
Memscape 是什么?
Persistent memory and collective knowledge for AI agents. Use at session start to load previous context (memscape_resume). Use during work to save decisions,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 101 次。
如何安装 Memscape?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memscape」即可一键安装,无需额外配置。
Memscape 是免费的吗?
是的,Memscape 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memscape 支持哪些平台?
Memscape 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 Memscape?
由 Asim Khan(@tobeasim)开发并维护,当前版本 v1.0.1。
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