Something I keep hitting with AI agents that browse: the browsing itself eats the budget. In an MCP client like Claude Desktop, every look at a page sends back the whole tree, so after two or three pages the context is full and the agent slows to a crawl. A simple task turns into a dozen round trips.
I want to hear how others handle this:
- If your agent drives a browser, how many pages before the context gets tight?
Love that everything stays local instead of bouncing pages through some third party, and the parallel browsing setup is genuinely clever for cutting down wait times on multi-step research.