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clawiser

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Boost agent memory and workflows with ClaWiser.

Software Engineering#automation#workflow#integration#routing#memory#clawiser
AuthorMattWenJun
Version1.0.0
Installs0

System Documentation

What problem does it solve?

ClaWiser addresses memory and workflow gaps in AI agents by bundling persistent memory layers with practical workflow modules.

Core Features & Use Cases

  • Modular memory layers: memory-deposit, retrieval-enhance, noise-reduction; and workflow modules: hdd, sdd, save-game, load-game, project-skill-pairing.
  • Compatible with OpenClaw and Claude Code; simplifies onboarding and upgrade paths; ensures consistent agent behavior across sessions and projects.
  • Use case: when an agent must recall long conversations, manage project handoffs, or maintain cross-session context.

Quick Start

Command me to install ClaWiser to begin the setup.

Dependency Matrix

Required Modules

None required

Components

assets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: clawiser
Download link: https://github.com/MattWenJun/ClaWiser/archive/main.zip#clawiser

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository

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