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Agentic Web Research

Agentic web research means that an AI drives the search loop. The agent formulates queries, reads results, decides what to read next, and writes a synthesis. It works best when search, extraction, and reasoning each run in the right place.

Your setup: Pi Web Access calls SearXNG at 192.168.0.143:8081 (dankclaw) and serves models through llama.cpp at 192.168.0.235:7770, 192.168.0.143:7770, and localhost:8080. The pages below assume that topology.

This section connects four decisions:

  1. Search backend — make a self-hosted SearXNG instance fast and private.
  2. Network path — send only SearXNG traffic through a VPN and leave the rest alone.
  3. Agent loop — apply agentic search best practices and research effectiveness so the loop ends, not spins.
  4. Model choice — pick a self-hostable open model strong enough for tool use and web agents.

Quick Map

graph LR
    A[User Question] --> B[Agent + Open Model]
    B --> C[SearXNG Search]
    C -->|VPN only here| D[Upstream Engines]
    B --> E[Extraction: Crawl4AI / fetch]
    B --> F[Synthesis + Citations]
    E --> F

Pages

Sources

Authoritative references are cited per page under # Citations.