Searxng Search — Free keyless meta-search aggregating 70+ engines
Searxng Search — Free keyless meta-search aggregating 70+ engines
Start with meaning, then move to detail.
This lesson explains Searxng Search — Free keyless meta-search aggregating 70+ engines as part of Hermes internals and extension points. You will learn what it does, when it matters, and the smallest safe test that proves it works.
If you are new, do not memorize names. Focus on three questions: what problem does this solve, what access does it need, and how can you verify the result?
For practice, inspect the first example, identify its effects, run it on test data, and compare the result with the source claim.
For advanced readers, inspect Skill metadata, Reference: full SKILL.md, Configuration, then verify failure modes and version compatibility.
Know Python, Git, and basic project structure before changing code.
A clear outcome before you read.
- Understand Searxng Search — Free keyless meta-search aggregating 70+ engines without assumed prior knowledge.
- Separate the source description from what still needs testing in your environment.
- Read the first command and identify its inputs and outputs before copying it.
Short definitions before the details.
- Skill
- An instruction bundle that teaches Hermes a repeatable workflow without necessarily adding an external service.
Free keyless meta-search aggregating 70+ engines
What does the source say, and in what order?
- 01Skill metadata
Start here to understand the core idea or structure.
- 02Reference: full SKILL.md
Read this after the foundation, then connect it to the previous step.
- 03Configuration
Read this after the foundation, then connect it to the previous step.
- 04Detection Flow
Read this after the foundation, then connect it to the previous step.
- 05Method 1: CLI via curl (Preferred)
Read this after the foundation, then connect it to the previous step.
- 06Common CLI Flags
Read this after the foundation, then connect it to the previous step.
- 07Parsing JSON Results
Read this after the foundation, then connect it to the previous step.
- 08Method 2: Python API via requests
Read this after the foundation, then connect it to the previous step.
- 09Self-Hosting SearXNG
Read this after the foundation, then connect it to the previous step.
- 10Workflow: Search then Extract
Finish here to verify the result and special cases.
Copy only after you understand the effect.
# Public instances (no setup required)
SEARXNG_URL=https://searxng.example.com
# Self-hosted SearXNG
SEARXNG_URL=http://localhost:8888# Check if SEARXNG_URL is set and the instance is reachable
curl -s --max-time 5 "${SEARXNG_URL}/search?q=test&format=json" | head -c 200# Text search (JSON output)
curl -s --max-time 10 \
"${SEARXNG_URL}/search?q=python+async+programming&format=json&engines=google,bing&limit=10"
# With Safesearch off
curl -s --max-time 10 \
"${SEARXNG_URL}/search?q=example&format=json&safesearch=0"
# Specific categories (general, news, science, etc.)
curl -s --max-time 10 \
"${SEARXNG_URL}/search?q=AI+news&format=json&categories=news"Read the first command and identify its inputs and outputs before copying it.
Match every command to your installed Hermes version, review the files and accounts it can reach, and use non-sensitive data for the first test. If this explanation differs from the source, the official source wins.