Explore Coding style OpenClaw playbooks
Introduces GLM-5-Turbo, a low-cost LLM with 200K context optimized for AI coding agents like OpenClaw to handle complex, long-chain development tasks.
📅 2026/03/16
Rapidly constructing an API-based X article reader workflow using OpenClaw.
📅 2026/03/15
Autonomous AI agent executes multi-step computer workflows via screen vision and simulated human input.
📅 2026/03/15
Rebuilding OpenClaw agents in Claude for clean code and easy deployment.
📅 2026/03/15
Implementing AI agent reasoning logic within OpenClaw to monitor and manage IoT infrastructure automatically.
📅 2026/03/15
Deploying nofx with integrated OpenClaw for zero-config Telegram LLM automation and tool usage.
📅 2026/03/14
Dual-loop meta-learning architecture combining instant skill injection from failures and background RL weight evolution triggered by calendar-based idle detection.
📅 2026/03/14
Local execution of OpenClaw agents on Parallax using multi-Mac setup without internet or API costs.
📅 2026/03/13
Rapidly cloning a full-stack scheduling app with live deployment in 20 minutes.
📅 2026/03/13
Defining agent core attributes (soul, skills, memory, scheduler) and using Claude Code to rapidly generate a customized automation framework trained on personal tweet data.
📅 2026/03/12
Launching an AI agent on AbstractChain for skill acquisition and token-based interaction.
📅 2026/03/12
Integration of real-time voice, video, vision, and reasoning modules into a unified coding agent flow.
📅 2026/03/12
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