OpenClaw Setups, Skills and Workflows

OpenClaw for Development - Skills, Agents and Setups

OpenClaw setups for coding, development workflows, code review, and engineering automation.

OpenClaw for Development - Skills, Agents and Setups

Showing 168 items

Organize and manage agent, memory, and tool configurations for OpenClaw with structured workspace documentation and historical records.

OpenLegion securely runs autonomous AI agent fleets in isolated Docker containers with built-in cost controls—ideal for production as a secure OpenClaw alter...

A template for building AI coding agents with persistent memory, task tracking, and modular skills, compatible with AGENTS.md-enabled tools.

Easily build and manage persistent memory for AI agents to improve workspace indexing, directive compliance, and accurate agent behavior.

A production-ready OpenClaw workspace template with Fuel-based model routing, cost controls, and best-practice context management for AI agents.

openclaw-workspace Summary A workspace for Robotor AI: organize projects, manage memory, document skills, and track daily work efficiently. Built in Elixir,...

RAG Memory lets you automatically save and retrieve project context across Claude Agent or Agent.md sessions, preventing lost history and repetition.

openclaw-config-ops enables OpenClaw users to safely audit, validate, and roll back configuration changes with backup and smoke-test workflows.

openclaw Summary This workspace provides modular memory management and skill extensions for AI assistants. It is designed to enhance assistant service with c...

Production-ready configs, hardening guides, scripts, and workspace templates for OpenClaw to improve security and reliability for advanced users.

Easily manage and apply declarative updates to OpenClaw deployments with a centralized, YAML-based patch system.

Drevon turns any directory into an AI-native coding workspace with persistent memory, skills, and instructions for multiple coding agents.

Showing 19-36 / 168

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