AutoSearch

Open-source Deep Research for AI Agents

40 channels, including 10+ Chinese sources. MCP-native. LLM-decoupled. Plug into the agent host you already use.

Install · Channels · MCP Setup · Examples · Docs · 中文

AutoSearch is open-source deep research infrastructure built for AI agents. Plug Claude Code, Cursor, Cline, GPT-Researcher, LangChain, LlamaIndex, AutoGen, and other hosts into MCP-native access across 40 channels, including 10+ Chinese sources.

The engine returns indexed multi-source results and stays uncoupled from LLM calls, so your agent keeps its own model, prompts, and workflow.

You ask your AI to research something. It answers from training data cutoff —

• "Show me this week's LLM papers on arxiv" → can't, no academic database access
• "What are people saying about this product on Reddit" → shallow, only surface-level web results
• "Find similar open-source projects on GitHub" → weak, general search misses most repos
• "Summarize the Twitter discussion on this topic" → blocked, no public API
• "Compare opinions on Hacker News vs Chinese tech forums" → two platforms, manual aggregation

AutoSearch fixes this in one line. Pick the path that matches you:

Install

Have Node? (most common — works on macOS, Linux, Windows)

npx autosearch-ai

Using Claude Code / Cursor / Zed? Paste this into your AI agent:

Help me install AutoSearch: https://raw.githubusercontent.com/0xmariowu/Autosearch/main/docs/install.md

Shell user on macOS / Linux?

curl -fsSL https://raw.githubusercontent.com/0xmariowu/Autosearch/main/scripts/install.sh | bash

The npm wrapper runs install/init only when you invoke it explicitly. Plain npm install -g autosearch-ai does not auto-run init; avoiding npm install-time scripts is intentional supply-chain hardening.

After install, your Agent searches 40 channels simultaneously — academic papers, developer communities, Chinese social media, and Linux DO forum threads — results deduplicated and ranked, every result includes a source URL.

Channels