Scavio for Hermes Desktop Agent Search Grounding

The Problem

Hermes Desktop Agent users report frequent web search failures where the built-in scraper times out, gets rate-limited, or returns stale results. The agent falls back to ungrounded LLM responses without indicating the search failure, leading to hallucinated information.

How Scavio Helps

• Eliminates web scraping failures and rate limiting
• MCP integration requires only a config file change
• Structured JSON results replace raw HTML parsing
• Multi-platform search adds Reddit and YouTube data
• Sub-2-second latency vs 3-8 second scraping

Relevant Platforms

Quick Start: Python Example

Here is a quick example searching Google for "Hermes user adds Scavio MCP server URL to config. Agent asks 'what is the current price of Tavily?'. Previously, built-in scraper timed out 30% of the time. Now, MCP tool call returns structured result: 'Tavily: 1K free/mo, $30/mo for 10K'. Agent gives accurate response every time.":

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 Hermes Desktop Agent users, local AI agent enthusiasts, developers building agent workflows on desktop

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

Start with the free tier (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.