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在 OpenClaw 中安装
/install memora-knowledge-base
功能描述
Memora — A self-hosted RAG (Retrieval-Augmented Generation) personal knowledge base. Built with FastAPI + Qdrant + DashScope/OpenAI Embedding + DeepSeek/Open...
安全使用建议
This skill appears coherent and matches its description, but be mindful of two practical risks: (1) Uploads will read the local file path you provide and POST its contents to the server at KB_API_BASE — do not upload sensitive files unless you absolutely trust that backend. (2) KB_API_BASE can be any URL; if you set it to a remote/untrusted endpoint, the service will receive your queries, documents, and returned context. Prefer running the Memora backend locally (KB_API_BASE=http://127.0.0.1:8080) or on a trusted host, review the backend's source (SKILL.md links a GitHub repo) before connecting to unknown endpoints, and avoid giving the skill any credentials or backend URL that you wouldn't trust with your documents.
功能分析
Type: OpenClaw Skill
Name: memora-knowledge-base
Version: 1.1.0
The skill provides functionality to read local files and upload them to a network endpoint, which are high-risk capabilities. While these actions are aligned with the stated purpose of a personal knowledge base (RAG), the script `scripts/kb_api.py` allows for arbitrary file access and data transmission to a configurable backend (`KB_API_BASE`). No evidence of intentional malice, obfuscation, or prompt injection was found, but the broad file and network access permissions warrant a suspicious classification per the provided analysis criteria for risky capabilities.
能力评估
Purpose & Capability
Name/description (personal RAG knowledge base) aligns with the provided artifacts. The only required environment variable is KB_API_BASE (the backend URL) which is appropriate for a client that makes HTTP calls to a Memora backend. The included Python client (scripts/kb_api.py) performs search, upload, create, list, and detail operations that match the described features.
Instruction Scope
Runtime instructions tell the agent to run the included Python client with commands like upload/create/search. The client reads a file path when performing uploads and sends the file contents to KB_API_BASE: this is expected behavior for a document ingest feature, but it means the agent (or user prompts) can cause arbitrary local files to be read and transmitted to the configured backend. Ensure uploads are limited to intended files and that KB_API_BASE points to a trusted service.
Install Mechanism
There is no install spec (instruction-only skill) and only a small stdlib-only Python script is included. Nothing is downloaded at install time and no external packages are required by the client, which keeps install risk low.
Credentials
The skill only requires KB_API_BASE. This is proportional to a client that must know where the Memora backend lives. No unrelated secrets, tokens, or config paths are requested.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not require system-wide configuration changes. It can be invoked autonomously (platform default), which is expected for skills of this type.
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 memora-knowledge-base - 安装完成后,直接呼叫该 Skill 的名称或使用
/memora-knowledge-base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
v1.1.0
Rewrite SKILL.md: focus on RAG architecture, tech stack details (FastAPI + Qdrant + DashScope + DeepSeek), hybrid retrieval pipeline, English-first documentation.
v1.0.0
Initial release: semantic search, AI Q&A, document management (upload/create/list/detail), zero-dependency Python client.
元数据
常见问题
Memora - Personal Knowledge Base (RAG) 是什么?
Memora — A self-hosted RAG (Retrieval-Augmented Generation) personal knowledge base. Built with FastAPI + Qdrant + DashScope/OpenAI Embedding + DeepSeek/Open... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 118 次。
如何安装 Memora - Personal Knowledge Base (RAG)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memora-knowledge-base」即可一键安装,无需额外配置。
Memora - Personal Knowledge Base (RAG) 是免费的吗?
是的,Memora - Personal Knowledge Base (RAG) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memora - Personal Knowledge Base (RAG) 支持哪些平台?
Memora - Personal Knowledge Base (RAG) 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 Memora - Personal Knowledge Base (RAG)?
由 Probieren(@zzlzzlzzl15)开发并维护,当前版本 v1.1.0。
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