Docker Compose
How To Run ZeroClaw in Docker with local LLMs (Qwen3 on an NVIDIA DGX Spark)
ZeroClaw is an open-source agent runtime. By default it expects a frontier model API key such as Claude, OpenAI, etc. This guide shows how to use a local Qwen3.6 model served by vLLM on an NVIDIA DGX Spark, routed through LiteLLM, with ZeroClaw and Firecrawl running in Docker on a separate host.
It also documents the onboarding bug I hit on a fresh install in v0.7.4 — ZeroClaw issue #6123 — and the config-only workaround.
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Run Free LLMs at Scale: LiteLLM Gateway with Groq, NVIDIA NIM, OpenRouter, and Local vLLM
Introduction
Running large language models is increasingly affordable — but “affordable” rarely means “free, all the time, for every request.” Cloud providers each come with their own rate limits, daily quotas, and occasional model deprecations. Local hardware is fast and private, but not always available (DGX Spark powered down, model being updated, VRAM needed elsewhere). Somewhere between “I have an API key” and “my agents work reliably at scale” is a configuration problem that most guides skip over entirely.
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Self-Hosting Firecrawl on Ubuntu 25.04 with Docker Compose
Modern AI agents — Claude Code, Codex, OpenClaw, Hermes-Agent, and custom LangChain pipelines — need a way to read the web. Not raw HTML full of navigation debris, cookie banners, and JavaScript noise, but clean structured text that a language model can actually reason about. Firecrawl is the missing piece: an open-source web scraping and crawling API that fetches any URL and returns clean Markdown, ready to drop straight into a context window or a RAG pipeline.
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