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    Open-source Deep Research

    Searching Reddit from your AI Agent

    Use Reddit discussions as cited qualitative evidence inside agent research tasks.

    Get Started →Channels

    01

    Community context inside the loop

    AutoSearch lets agents query Reddit as part of a broader research prompt. The agent can collect threads, compare comments, identify recurring objections, and cite the discussions when drafting product, technical, or market briefs.

    02

    Reddit compared with other sources

    Reddit is useful but noisy. AutoSearch can compare Reddit findings with GitHub, Hacker News, docs, YouTube, Twitter, and Chinese sources, helping the agent separate repeated community sentiment from isolated anecdotes.

    03

    Useful for promptable workflows

    Because AutoSearch is MCP-native, Reddit research can be triggered from Claude Code, Cursor, Cline, or other agent hosts. That makes social evidence available at the moment a product question or implementation risk appears.

    How it fits

    AutoSearch sits between your agent and public discussion channels. When Reddit is relevant, the agent asks AutoSearch to collect cited threads and compare them with other sources. The agent then summarizes themes, objections, workarounds, and gaps. This works well for product research, developer tooling, competitive scans, and community sentiment checks where Reddit should inform decisions without being the only source.

    Try this prompt

    Search Reddit for complaints about AI coding agents.
Group cited comments by trust, cost, context window, code quality, and workflow fit.