CaptainAgent automatically generates expert sub-agents for complex tasks, and web research is one of the most common subtasks. The challenge is that standard HTTP fetching fails against most real-world sites -- Cloudflare blocks, JavaScript-heavy pages, paywalls.
I have been using anybrowse (https://anybrowse.dev) as the web retrieval layer in AG2 workflows. It has an MCP server interface and a simple REST API (POST URL, get clean markdown back). Works reliably on LinkedIn, Reddit, news sites, SaaS docs -- the sites that matter for research agents.
For CaptainAgent specifically: the researcher sub-agent could call anybrowse as its browser tool instead of raw HTTP requests. The markdown output is cleaner for LLM processing than raw HTML anyway.
Would this be worth mentioning in the CaptainAgent docs or the tool integration guide? Happy to share a working code example.
CaptainAgent automatically generates expert sub-agents for complex tasks, and web research is one of the most common subtasks. The challenge is that standard HTTP fetching fails against most real-world sites -- Cloudflare blocks, JavaScript-heavy pages, paywalls.
I have been using anybrowse (https://anybrowse.dev) as the web retrieval layer in AG2 workflows. It has an MCP server interface and a simple REST API (POST URL, get clean markdown back). Works reliably on LinkedIn, Reddit, news sites, SaaS docs -- the sites that matter for research agents.
For CaptainAgent specifically: the researcher sub-agent could call anybrowse as its browser tool instead of raw HTTP requests. The markdown output is cleaner for LLM processing than raw HTML anyway.
Would this be worth mentioning in the CaptainAgent docs or the tool integration guide? Happy to share a working code example.