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记忆编排器

技能标识:openclaw-memory-orchestrator

Production-grade memory optimization, compression, and adaptive retrieval routing for OpenClaw. Safe-mode ClawHub package. For the full feature set, install the full package from GitHub: https://github.com/che52078/openclaw-memory-orchestrator

作者:admin | 来源记录:ClawHub
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ClawHub
版本
V 1.0.2
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来源与检测标记为平台登记信息,并不代表已展示可复核的检测报告。使用前请核对版本、依赖和所需权限,建议先在隔离环境中运行。
概述
安装方式
版本历史

记忆编排器

技能名称: openclaw-memory-orchestrator
详细描述:

OpenClaw 内存编排器精简版

当用户需要对 OpenClaw 进行内存压缩、去重、规范化、精简/密集/热检索层或自适应检索路由时使用。

安装

  • - Linux: bash install.sh
  • 如需完整功能集,请从 GitHub 安装完整包:
https://github.com/che52078/openclaw-memory-orchestrator

要求

  • - Python 3.10+
  • chromadb

可选:

  • - ollama
  • 远程向量数据库

标签

skill ai

通过对话安装

以下为平台配置的接入选项,并非逐项实测通过。能否安装取决于客户端支持、技能来源和运行环境:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 openclaw-memory-orchestrator-1775966537 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 openclaw-memory-orchestrator-1775966537 技能

通过命令行安装

skillhub install openclaw-memory-orchestrator-1775966537

下载

⬇ 下载 openclaw-memory-orchestrator v1.0.2(免费)

文件大小: 47.64 KB | 发布时间: 2026-4-13 11:19

v1.0.2 最新 2026-4-13 11:19
# OpenClaw Memory Orchestrator Lite

Still dealing with broken conversation continuity, missing historical context, or long chats that burn through huge amounts of tokens?
OpenClaw Memory Orchestrator uses memory deduplication, compression, layered indexing, and adaptive retrieval routing to keep long-term memory cleaner, retrieval more stable, and token costs under control. No API

## Install

### Linux

```bash
bash install.sh
```

> For the full feature set, install the full package from GitHub:
> https://github.com/che52078/openclaw-memory-orchestrator

## Modes

- minimal-local
- local-ollama
- hybrid-remote

## Notes

- Ollama is optional
- Remote vector database is optional
- Local-only mode is supported

## ClawHub Safe Mode

- No automatic pip install
- No automatic runtime execution during install
- Remote vector DB is disabled by default unless explicitly configured
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