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deep-research

deep-research

Perform comprehensive web research using local SearXNG. Iteratively searches, fetches content, and synthesizes a report with citations. Use for complex research questions requiring multiple sources.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: deep-research description: Perform comprehensive web research using local SearXNG. Iteratively searches, fetches content, and synthesizes a report with citations. Use for complex research questions requiring multiple sources. homepage: https://github.com/romancircus/searxng-deep-research metadata: {"clawdbot":{"emoji":"🔬","requires":{"bins":["python3"],"python":["aiohttp","beautifulsoup4"]},"install":[{"id":"python-deps","kind":"pip","packages":["aiohttp","beautifulsoup4"],"label":"Install Python dependencies"}]}}

Deep Research

Performs iterative web research via local SearXNG (Google-free, VPN-routed).

Quick Usage

python3 ~/.clawdbot/skills/deep-research/deep_research.py "your research question"

Or use the CLI wrapper:

deep-research "what are the best practices for kubernetes security in 2026"

How It Works

  1. Iterative Search - Up to 5 iterations with query refinement
  2. Content Fetching - Scrapes full page content from valid URLs
  3. Deduplication - Tracks seen URLs to avoid duplicates
  4. Report Generation - Produces markdown with citations

Algorithm

for iteration in 1..5:
    query = refine_query(original_query, iteration)
    results = search_searxng(query, offset=iteration * 10)

    for result in results:
        if url not in seen_urls and domain not in ignored:
            content = fetch_and_scrape(url)
            add_to_findings(title, url, content)

    if sufficient_results:
        break

generate_markdown_report(findings, citations)

Query Refinement

Each iteration adds context terms:

  • Iteration 1: Original query
  • Iteration 2: + "detailed analysis"
  • Iteration 3: + "comprehensive guide"
  • Iteration 4: + "in-depth review"
  • Iteration 5: + "research findings"

Configuration

Edit ~/.clawdbot/skills/deep-research/deep_research.py:

SEARXNG_URL = "http://localhost:8888"  # Your SearXNG instance
MAX_ITERATIONS = 5                      # Search iterations
RESULTS_PER_PAGE = 10                   # Results per iteration
PAGE_CONTENT_LIMIT = 2000               # Max words per source
REQUEST_TIMEOUT = 20                    # Fetch timeout (seconds)

Ignored Domains

Social media and low-value domains are excluded:

  • youtube.com, facebook.com, twitter.com
  • instagram.com, tiktok.com, pinterest.com, linkedin.com

Edit IGNORED_DOMAINS list to customize.

Output Format

# Deep Research Report

**Query:** your research question
**Date:** 2026-01-27 15:30
**Sources:** 8

---

## Research Findings

### [1] Article Title
**Source:** https://example.com/article

Content preview from the article...

### [2] Another Source
...

---

## Sources

1. [Article Title](https://example.com/article)
2. [Another Source](https://example.com/other)

Privacy Features

  • No Google/Bing - Uses privacy-respecting engines only
  • VPN Routed - Traffic goes through Tailscale/Mullvad
  • Local Processing - All synthesis happens locally
  • No API Keys - Self-hosted SearXNG, no external dependencies

Requirements

  • Python 3.8+
  • Local SearXNG instance at port 8888
  • Python packages: aiohttp, beautifulsoup4

Install dependencies:

pip install aiohttp beautifulsoup4

Examples

Research a technical topic:

python3 ~/.clawdbot/skills/deep-research/deep_research.py "rust async runtime comparison tokio vs async-std 2026"

Investigate a concept:

python3 ~/.clawdbot/skills/deep-research/deep_research.py "zero knowledge proofs practical applications"

Compare technologies:

python3 ~/.clawdbot/skills/deep-research/deep_research.py "comparing vector databases pinecone vs milvus vs qdrant"

Troubleshooting

No results found:

  • Check SearXNG is running: curl http://localhost:8888
  • Verify query isn't too specific
  • Try broader search terms

Slow performance:

  • Reduce MAX_ITERATIONS
  • Decrease RESULTS_PER_PAGE
  • Some sites have rate limiting

Content not extracted:

  • Site may require JavaScript (not supported)
  • Try the URL directly in browser
  • Content may be behind paywall
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