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Rtx Local Ai
作者
Twin Geeks
· GitHub ↗
· v1.0.0
· MIT-0
110
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install rtx-local-ai
功能描述
RTX Local AI — turn your gaming PC into a local AI server. RTX 4090, RTX 4080, RTX 4070, RTX 3090 run Llama, Qwen, DeepSeek, Phi, Mistral locally. Gaming PC...
安全使用建议
This skill appears to be what it says: guidance for running Ollama Herd on RTX GPUs. Before proceeding: (1) Inspect the referenced project and the exact PyPI package/version (https://pypi.org/project/ollama-herd/ and the GitHub repo) to ensure you trust the publisher. (2) Prefer installing into a virtualenv or container rather than system Python. (3) Be aware herd-node uses mDNS auto-discovery — only enable it on trusted LANs, or firewall/bind the service to localhost if you don't want other devices to access it. (4) Editing systemd requires sudo; back up service files and understand the change. (5) Confirm model downloads are truly opt-in and that large models won't be pulled automatically. If you need a higher-assurance review, provide the PyPI package contents or the GitHub repo code for deeper analysis.
能力评估
Purpose & Capability
The name/description describe turning an RTX gaming PC into a local AI server via Ollama Herd. The SKILL.md tells the user to pip install 'ollama-herd' and run 'herd'/'herd-node', references local endpoints (localhost:11435), optional tools (python3, pip, nvidia-smi), and config paths under ~/.fleet-manager — all are consistent with that purpose.
Instruction Scope
Instructions are narrowly scoped to installing and operating Ollama Herd, querying local endpoints, and configuring environment variables or systemd to keep models resident. Two things to note: (1) herd-node auto-discovers the router via mDNS, which opens network discovery and can expose the service to other LAN hosts; (2) the doc asks users to edit systemd (sudo) and set persistent environment variables — these are expected for persistent model hosting but require elevated privileges and care. There is no attempt to read unrelated files or exfiltrate secrets in the provided instructions.
Install Mechanism
The skill is instruction-only (no install spec). It tells users to run 'pip install ollama-herd' (PyPI). That is expected for this functionality but does mean you will install third-party code from the public package index — moderate risk if the package or its version is unvetted. The skill itself doesn't bundle code or download arbitrary archives.
Credentials
The skill declares no required credentials and the environment variables it references (OLLAMA_KEEP_ALIVE, OLLAMA_MAX_LOADED_MODELS) are directly related to the runtime behavior described. The config paths (~/.fleet-manager/...) are consistent with a fleet manager and are not system-wide secrets.
Persistence & Privilege
The skill does not request 'always: true' or elevated persistent privileges on its own. However, following its instructions (editing systemd, setting persistent environment variables, enabling mDNS-based discovery) requires administrator privileges and will make the service persist and potentially accessible on the local network. That is coherent with the stated goal but increases exposure.
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 rtx-local-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/rtx-local-ai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
v1.0.0
Initial release of rtx-local-ai — turn your gaming PC with an NVIDIA RTX GPU into a local AI server.
- Run large language models (LLMs) like Llama, Qwen, DeepSeek, Phi, Mistral locally on RTX GPUs (4090, 4080, 4070, 3090, etc.)
- Supports single or multiple RTX PCs for AI workload sharing (fleet mode)
- Easy setup on Windows and Linux using Ollama Herd
- No cloud costs: your GPU is the server for inference, code generation, image generation, and embeddings
- Includes monitoring dashboard and CLI status tools
- Explicit user control for model download and deletion; no automatic downloads
元数据
常见问题
Rtx Local Ai 是什么？
RTX Local AI — turn your gaming PC into a local AI server. RTX 4090, RTX 4080, RTX 4070, RTX 3090 run Llama, Qwen, DeepSeek, Phi, Mistral locally. Gaming PC... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 110 次。
如何安装 Rtx Local Ai？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rtx-local-ai」即可一键安装，无需额外配置。
Rtx Local Ai 是免费的吗？
是的，Rtx Local Ai 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Rtx Local Ai 支持哪些平台？
Rtx Local Ai 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, windows）。
谁开发了 Rtx Local Ai？
由 Twin Geeks（@twinsgeeks）开发并维护，当前版本 v1.0.0。
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