OpenClaw now has free, LLM-optimized web search by default powered by Parallel
Blog post from Parallel Web Systems
OpenClaw, a tool designed for performing web searches, now defaults to using Parallel Web Search for new installs, offering generous free limits for personal use, with a pay-as-you-go option for high-volume users. Existing users can switch to Parallel easily by instructing their agent or using a specific command. Once set up, OpenClaw can utilize the Parallel CLI to expand its functionalities, including deep research through the Task API, continuous web monitoring with the Monitor API, and extracting clean content from web pages using the Extract API. Parallel Search is touted for its ease of setup, efficiency, and high-quality results, optimized for AI agents rather than human clicks. It provides a more efficient alternative to traditional browser-based searches by returning concise, relevant excerpts without the excess data of full-page loads. Users can start by installing OpenClaw and configuring it to use Parallel Search, with further enhancements available through the Parallel API.
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