OpenClaw

Is Thinking Mode Affecting Your Agentic Workflows?

I jumped on the trend of running local LLMs and agents and was having a lot of fun until my agents kept failing, timing out, and just stopping without any obvious reason. I tried PaperClip + ZeroClaw, PaperClip + Hermes-Agent, and Hermes-Agent + Hermes-Workspace with Qwen 3.6 and Gemma 4 models (various sizes and quantization levels). All of them failed in the same way at some point in the workflow with almost nothing reported in the logs to indicate what was happening. Some tasks completed without any problem, but most did not, often leaving me to wonder what was going on. After many hours of debugging and reading many forums, I finally found that this was a model serving configuration trap that catches many people the first time they self-host a reasoning model.

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.