ai

Scavio for Self-Hosted Agent Search Stack

Build a privacy-first search stack for local LLM agents using SearXNG, with managed API fallback for reliability and result quality comparison.

The Problem

Privacy-first teams running local LLMs (Qwen, Hermes Agent) need search grounding without sending queries to external services. Self-hosted SearXNG provides private search but requires infrastructure management and faces rate limiting from upstream sources.

How Scavio Helps

  • Complete query privacy with SearXNG self-hosting
  • Docker Compose deployment with Hermes Agent + Qwen
  • Managed API fallback when self-hosted search is rate-limited
  • Side-by-side quality comparison between self-hosted and managed results
  • No query logs sent to external services in primary mode

Relevant Platforms

Google

Web search with knowledge graph, PAA, and AI overviews

Quick Start: Python Example

Here is a quick example searching Google for "A team deploys SearXNG + Hermes Agent + Qwen 3.5 35B via Docker Compose. All search queries stay local. When SearXNG gets rate-limited by upstream engines (common after 100+ daily queries), the stack falls back to Scavio API for reliability. 80% of queries served privately, 20% via managed API during rate-limit windows.":

Python
import requests

API_KEY = "your_scavio_api_key"

response = requests.post(
    "https://api.scavio.dev/api/v1/search",
    headers={
        "x-api-key": API_KEY,
        "Content-Type": "application/json",
    },
    json={"query": query},
)

data = response.json()
for result in data.get("organic_results", [])[:5]:
    print(f"{result['position']}. {result['title']}")
    print(f"   {result['link']}\n")

Built for Privacy-focused teams, self-hosted LLM operators, Hermes Agent users, organizations with data sovereignty requirements

Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your self-hosted agent search stack solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.

Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.

Frequently Asked Questions

Build a privacy-first search stack for local LLM agents using SearXNG, with managed API fallback for reliability and result quality comparison. The API returns structured JSON that you can process programmatically or feed into an AI agent for automated analysis.

For self-hosted agent search stack, use the Google Search endpoint. Each request costs 1 credit.

Yes. Scavio handles all the infrastructure — proxies, rate limits, CAPTCHAs, and anti-bot detection. Paid plans support up to 100K+ credits/month with priority support and higher rate limits.

Absolutely. Scavio integrates with LangChain, CrewAI, LlamaIndex, AutoGen, and any framework that can make HTTP requests. Build an agent that searches, analyzes, and acts on self-hosted agent search stack data automatically.

Build Your Self-Hosted Agent Search Stack Solution

250 free credits/month. No credit card required. Start building with Google data today.