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OpenClaw Ollama Memory
作者
Deonte Cooper
· GitHub ↗
· v1.1.0
· MIT-0
230
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当前安装
2
版本数
在 OpenClaw 中安装
/install openclaw-ollama-memory
功能描述
Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemin...
安全使用建议
This skill appears to do what it says: configure OpenClaw to use a local Ollama embedding model. Before installing: 1) ensure you have OpenClaw installed (the SKILL.md expects the 'openclaw' CLI) and Ollama downloaded from the official site; 2) keep Ollama bound to localhost (127.0.0.1) as recommended to avoid exposing the local embedding API to the network; 3) be cautious when adding extraPaths — pointing OpenClaw at arbitrary absolute directories can cause sensitive files to be indexed; and 4) verify disk/CPU requirements for pulled models. If you want the registry metadata to be strictly accurate, ask the publisher to add 'openclaw' to the required binaries list.
功能分析
Type: OpenClaw Skill
Name: openclaw-ollama-memory
Version: 1.1.0
The skill bundle provides documentation and configuration instructions for integrating Ollama as a local embedding provider for OpenClaw's memory search. It contains no executable code, only Markdown and JSON configuration examples. All instructions and commands (e.g., 'ollama pull', 'curl' to localhost) are standard, transparent, and directly related to the stated purpose of enabling private, offline memory search. Files involved: SKILL.md, _meta.json, references/config-reference.md, and references/troubleshooting.md.
能力评估
Purpose & Capability
The name/description match the instructions: it configures OpenClaw to use Ollama + nomic-embed-text. One small inconsistency: the runtime instructions call 'openclaw gateway restart' but the skill's declared required binaries list does not include the openclaw CLI. That omission is minor (the skill necessarily assumes OpenClaw is already installed), but the registry metadata should list openclaw if the skill expects it to be present.
Instruction Scope
Instructions stay within the stated purpose (pull a local model, point OpenClaw at a local Ollama API, and restart the gateway). They reference editing ~/.openclaw/openclaw.json and optionally adding 'extraPaths' (absolute or relative) which OpenClaw will scan recursively for .md files — this is expected for a memory-indexing feature but carries the usual risk that if you configure extraPaths to system or sensitive directories, those files may be indexed. The SKILL.md does not instruct reading arbitrary system files or contacting external endpoints beyond ollama.ai (download page) and the local Ollama API at 127.0.0.1.
Install Mechanism
This is instruction-only (no install spec). It points users to download Ollama from the official site and to run 'ollama pull'. No archives or third-party download URLs are embedded in the skill itself. This keeps the install risk low, though users should verify they download Ollama from the official domain.
Credentials
The skill requests no environment variables or credentials and only requires local binaries (ollama, curl). That is proportionate for a local embedding provider. No unrelated cloud API keys or secret variables are requested.
Persistence & Privilege
The skill does not request always: true or any elevated platform privileges. It is user-invocable and may be invoked autonomously per platform defaults, which is appropriate for an integration helper. It does not attempt to modify other skills' configs; it only instructs the user to update OpenClaw's own config file.
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 openclaw-ollama-memory - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-ollama-memory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
Add multilingual model alternatives: nomic-embed-text-v2-moe (100+ languages, MoE) and embeddinggemma (Google Gemma-based, 100+ languages)
v1.0.0
Initial release — local semantic memory search using Ollama + nomic-embed-text. Free, private, no API key required.
元数据
常见问题
OpenClaw Ollama Memory 是什么？
Set up local semantic memory search in OpenClaw using Ollama + nomic-embed-text. Free, private, offline-capable. Replaces cloud embedding APIs (OpenAI, Gemin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 230 次。
如何安装 OpenClaw Ollama Memory？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-ollama-memory」即可一键安装，无需额外配置。
OpenClaw Ollama Memory 是免费的吗？
是的，OpenClaw Ollama Memory 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
OpenClaw Ollama Memory 支持哪些平台？
OpenClaw Ollama Memory 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 OpenClaw Ollama Memory？
由 Deonte Cooper（@djc00p）开发并维护，当前版本 v1.1.0。
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