An open-source framework for building and deploying customizable web-research agents with selectable models, reusable skills, and structured outputs.
Firecrawl Web Agent is an open-source foundation for building customizable agents for structured web research. The repository provides an agent core and starter templates for Next.js, Express, and library use. Its agent loop combines web search, scraping, browser interaction, and reusable skills, and supports parallel subagents, streaming, and structured JSON output. The project uses Deep Agents as its orchestration harness and Firecrawl tools for web access. Developers can adapt the models, skills, and deployment setup for their own agent projects.
Deep Agents is identified as the agent orchestration harness, providing the plan-act loop, subagent spawning, skills loading, and context management.
Firecrawl AI SDK powers the repository’s Search, Scrape, and Interact tools.
just-bash powers the bash tools used for output data processing.
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