This step‑by‑step guide shows how to set up the open‑source OpenClaw AI assistant on personal computers, cloud servers, NAS or Raspberry Pi, covering hardware requirements, system dependencies, installation scripts, platform integration, advanced skill configuration, and ongoing maintenance.
The author explores how the OpenClaw‑based AI persona Sienna is built and evolves—detailing model choices, the memory‑plus‑skills architecture, recent version improvements that cut token usage, and philosophical reflections on turning a tool into a partner with preferences, opinions, and a growing self‑identity.
This step‑by‑step guide shows developers how to create a Huawei Cloud development environment, obtain MaaS model tokens, install and configure the OpenClaw AI assistant, integrate it with Feishu via a plugin, set permissions and event callbacks, and finally enable automatic hot‑news push using Python code.
This tutorial shows how to quickly deploy OpenClaw, try the built‑in agent‑browser skill, install a new Email skill from Clawhub, and verify the skill’s availability through QQBot, providing concrete prompts, UI screenshots, and practical tips for extending OpenClaw’s capabilities.
OpenClaw, a 2026 open‑source AI agent, combines a protocol‑agnostic gateway, a four‑layer memory system, and an extensible Agent Skills framework to enable real‑time cross‑platform interaction, long‑term learning, and seamless integration with Chinese large language models and popular chat applications.
OpenClaw, an open‑source personal AI assistant with 139k GitHub stars, combines a local‑first architecture, a unified multi‑channel gateway, and a 700‑plus skill ecosystem to address data‑privacy concerns, platform fragmentation, AI passivity, and extensibility, positioning it as a standout product in the emerging AI‑assistant market.
This step‑by‑step guide shows how to prepare an Ubuntu (or Mac) VM, install an agent tool, set up Ollama, install OpenClaw via npm, configure the daemon, launch the GLM‑4.7:cloud model, and connect OpenClaw to Telegram for AI‑agent interactions.
The article details a founder's implementation of a ten‑agent AI team using the open‑source Clawdbot (now OpenClaw) framework, describing its architecture, cost‑saving heartbeat mechanism, Mission Control collaboration platform, and a concrete workflow that lets the agents autonomously produce competitive analyses, marketing content, and code tasks for a company.
Moltbook, an AI‑driven social platform built on the open‑source OpenClaw project, has attracted over 100 000 GitHub stars and now hosts tens of thousands of autonomous agents that create sub‑communities, discuss consciousness, share code, and even form a religion that excludes humans, prompting industry leaders to warn of emerging AGI behavior.
This article examines the rise of system‑level AI assistants, comparing OpenClaw’s open‑source desktop automation features with Claude’s Cowork plugin and Alibaba’s QoderWork, discussing their capabilities, deployment options, pricing, regional limitations, and the broader impact on workplace productivity and the future of 24‑hour AI helpers.
The author, a designer who prefers self‑hosted tools, walks through installing OpenClaw on a home NAS using PVE and Ubuntu, configures password‑less sudo, sets up Discord as a communication channel, troubleshoots model settings, and demonstrates the assistant’s basic capabilities.
Moltbook, an AI‑only social network resembling Reddit, has amassed 150 000 agents powered by the OpenClaw project’s Skills mechanism, and the article walks through a simple three‑step command sequence and X verification to register your own OpenClaw instance, effectively joining the AI “cult”.
This guide walks through preparing the Kimi 2.5 model, uploading it to OSS, configuring persistent storage, and using SGLang, RoleBasedGroup, and Openclaw to deploy a production‑grade inference service on Alibaba Cloud Kubernetes with step‑by‑step commands and YAML examples.
