Blog

ClawHub is full of useful skills — but also a potential attack surface. Before a skill sees your API keys, tokens, and files, you should know exactly what it does. Here's our concrete vetting process from a 6-agent production system.

Your agent's answers getting vaguer, forgetting things it knew yesterday? That's context rot — and it's not an AI weakness, it's an architecture problem. Here's how we solved it completely across our 6-agent setup.

"Claude Code is session-bound. It spins up, codes, dies." A tweet nails it. What that actually means, why it's not a flaw — and when OpenClaw is the right complement.

OpenCode hit Hacker News #5 today with 120K GitHub stars. Everyone's asking: does it replace OpenClaw? The answer is no — they do fundamentally different things. Here's the setup that combines both and covers every part of your stack.

An agent that can freely run rm -rf, spin up Docker containers, or overwrite its own SOUL.md is a security liability — not an asset. Here's how to set proper permission boundaries.

A tweet yesterday describes an elegant security technique: offloading agent tasks into an OpenClaw node container that has no openclaw.json. Even if the agent runs as root inside the container — it can't escape. Here's how we implemented this in our setup.

A tweet about structured Markdown files for AI personalization is going viral right now. The concept behind it — USER.md — is one of the simplest levers for an agent that feels like a real colleague. Here's how we built ours.

6 agents, 24/7 online, under €500/month. How we systematically control API costs — with real numbers, model choices, and architectural decisions.

What happens when your server crashes and all your agent configurations are gone? We've been there. Here's the complete backup system we built afterward — and how we migrated our 6 agents to a new server in under 20 minutes.

Using Claude Opus for every agent sounds safe — but costs ten times more than necessary. Here's how we configure different models per agent in our 6-agent setup, keeping quality high without the invoice exploding.

Our coding agent Peter reviews pull requests, writes missing tests, and diagnoses bugs — without anyone triggering him manually. Here's the complete setup: skill configuration, GitHub integration, safety boundaries, and the prompts that actually work.

When an AI agent starts behaving oddly, openclaw doctor is your first stop. What the command checks, how it repairs issues automatically — and why we run it on a schedule across our 6-agent setup.

Most people start with one channel. But once an agent is used across a team, one isn't enough. Here's how we make each of our 6 agents reachable across multiple channels — with routing, context separation, and access control.

Most SOUL.md files are too vague to do anything. Here's the difference between a system prompt your agent ignores and one that permanently changes behavior — with real examples from our 6-agent team.

The model never changes — but the agent keeps improving. No fine-tuning, no retraining. Instead: MEMORY.md, skills, and a file-based feedback loop.

Most agents wait for commands. Heartbeats change that. Here's how we taught Sam to be useful without being asked — checking emails, monitoring calendars, sending alerts.

Your agent worked fine yesterday — today it's silent. Don't panic. Here are the eight most common causes and the exact commands to diagnose and fix each one.

Your agent worked fine yesterday — today it's silent. Don't panic. Here are the eight most common causes and the exact commands to diagnose and fix each one.

Skills are what turn OpenClaw from a chatbot into an actual assistant. Here's how skills work, how to install them from the community — and how to write your own in 30 minutes.

A tweet about a 6-agent team running an entire company for $400/month is going viral right now. What it doesn't show: how the agents actually communicate with each other. Here's the honest technical answer.

Using your personal email for your AI agent is a security risk and an identity mess. Here's exactly how we give each of our 6 agents a dedicated address — and why it changes everything.

Many people assume you need a Mac Mini or powerful local hardware to run a productive AI agent setup. Wrong. Our entire 6-agent team runs on a Hetzner server for €4/month. Here's exactly how.

An AI agent with access to your tools and API keys is like an admin account. Most people secure it like a hobby project. Here are the concrete settings that actually make a difference.

OpenClaw doesn't have to use a cloud API. With Ollama and Qwen 3.5, your entire agent setup runs locally — no data leaving your machine, no monthly bills, Claude-level performance on your own hardware.

Cron jobs are the difference between an agent waiting for you — and one that quietly runs your life in the background. Here's our complete setup: morning reports, daily blog posts, automatic checks.

openclaw gateway, openclaw channels add, openclaw cron — what do these actually do? Here's the cheatsheet missing from the docs: with real examples from our 6-agent setup.

AI agents forget everything after each session — unless you build a memory system. Here's exactly how we solved this for our 6-agent team.

Everyone talks about AI agents. But almost nobody shows how to actually run a whole team of them in production. Here's why we did it differently.

You could run all agents in a single process. But you shouldn't. Here's why Docker containers are the key to a stable multi-agent system.

Our 6 AI agents are online 24/7 — but completely invisible to the internet. No open ports, no VPN setup, no attack surface.