AI agents have massive security vulnerabilities that most developers ignore. From prompt injection to supply chain attacks, here is what is actually happening and how to protect yourself.
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Model Context Protocol (MCP) is becoming the USB standard for AI tool integrations. This guide covers how MCP works, how to build your own server, and why it is changing how AI agents connect to external tools.
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A complete walkthrough for setting up OpenClaw, the open-source AI assistant with 149K+ GitHub stars. From installation to connecting messaging apps and installing skills — get your own AI agent running in 20 minutes.
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PicoClaw runs a complete AI agent on less than 10MB of RAM. Built in Go for embedded devices, it connects to cloud LLMs while consuming almost no local resources. Here is what it can do and where it falls short.
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A practical guide to the best open-source AI models you can run locally in 2026. Hardware requirements, model recommendations by task, and when local beats cloud.
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NanoClaw runs AI agents in Docker containers for security isolation. After OpenClaw's supply chain attack, it has become the go-to alternative for developers who want agent capabilities without the risk.
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Ollama lets you run LLMs locally with zero API costs. This guide covers what hardware you actually need, which models work best, and when local beats cloud.
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The ClawHavoc supply chain attack compromised thousands of OpenClaw users. Here is what happened, why the architecture was vulnerable, and how the ecosystem responded.
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A complete guide to building your own AI infrastructure with Ollama, OpenClaw, Supabase, and n8n. What it costs, how the pieces connect, and when self-hosting beats cloud.
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