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AutoSearch

Research that gets smarter every time you use it. 32+ search channels. Self-evolving queries. Cited reports. Zero API keys required.

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What is AutoSearch?

AutoSearch is a Claude Code plugin that automates multi-platform research. Instead of manually searching Google, then Reddit, then GitHub, then arXiv, then Chinese platforms — AutoSearch does it all in parallel and delivers a cited report. The key difference from other search tools: AutoSearch learns. After each session, it records which queries found relevant results and which returned nothing. Next time, it skips what failed and doubles down on what worked.

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How it compares

AutoSearchPerplexityNative Claude
Search channels32+ dedicated connectors~3 web engines1 (WebSearch)
Chinese sources12 native platforms00
Academic sources6 dedicated connectors10
Gets smarter over timeYesNoNo
Every result citedYes (two-stage citation lock)Yes (URL-level)No
ReportsMarkdown / Rich HTML / SlidesWeb pagePlain text
CostFree (Claude Code plugin)$20/monthFree

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Quick demo

/autosearch "compare vector databases for RAG applications"
AutoSearch asks two questions — how deep and what format — then searches, evaluates, and delivers: 
[Phase 1/6] Prepare  — 25 rubrics, 47 items recalled, 15 queries planned
[Phase 2/6] Search   — 62 results from 12 channels
[Phase 3/6] Evaluate — 54 relevant, 3 gap queries
[Phase 4/6] Deliver  — report ready (38 citations)
[Phase 5/6] Quality  — 23/25 rubrics passed
[Phase 6/6] Evolve   — 4 patterns saved

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The key insight

Claude already knows 60-70% of most research topics from training data. AutoSearch doesn’t waste time re-searching what Claude already knows. It maps gaps first, then searches specifically for fresh data, community voice, Chinese sources, and niche repositories that Claude’s training missed.