Openclaw Workspace
Provides modular documentation and code to manage agents, memory, and tools in an OpenClaw AI workspace, supporting skill and mission customization.
実際のエージェント設定を見て、中身を確認し、自分のプロンプト、スキル、ワークフロー、連携を公開できます。
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Provides modular documentation and code to manage agents, memory, and tools in an OpenClaw AI workspace, supporting skill and mission customization.
Organize and manage personal assistant agents, tools, and memory resources for OpenClaw with integrated support for the Little Leo framework.
Provides mirrored workspace instructions and documentation to help OpenClaw users set up and manage agents, tools, and memory systems efficiently.
PocketPal lets you run a private, offline AI assistant with 14 specialized agents for personal help, memory, and productivity on Android or Linux.
openclaw-workspace Summary A workspace for Robotor AI: organize projects, manage memory, document skills, and track daily work efficiently. Built in Elixir,...
openclaw-workspace Summary This workspace provides the foundational structure for an OpenClaw agent, including persistent memory, configurable skills, and ag...
Backup and manage your OpenClaw AI agent’s skills, memory, and configurations with WSL2, Telegram, and OpenRouter integration.
openclaw Summary This workspace provides modular memory management and skill extensions for AI assistants. It is designed to enhance assistant service with c...
openclaw-workspace Summary This workspace provides a portable foundation for building and running OpenClaw agents. It includes detailed agent setup, memory m...
Provides a workspace for OpenClaw agents with integrated skills, memory management, and configuration files for streamlined agent development and operation.
seven-workspace Summary This workspace organizes and manages the environment, memory, personality, tools, and integrations for the Openclaw Agent 'Seven'. It...
OpenClaw Workspace Backup 备份范围 - memory/ - 每日记忆 - TELOS/ - 身份/目标/上下文 - skills/ - 自定义技能 - scripts/ - 自动化脚本 - .md - 配置文件 排除项 - 敏感文件 (.secure/, credentials, tok...