Undermind

Undermind is an AI co-researcher for scientific literature that reads and evaluates hundreds of papers and follows citation trails to answer research questions. Deep searches explore full texts, trace citations, and track newly published papers across specific research topics.

#29 in AI AssistantsAI Research ToolsFree plan

Who it's for

Best for

  • Researchers who want new papers on a narrow topic flagged as they appear.
  • Graduate students mapping literature through deep citation trails.

Not for

  • Researchers who conduct reflexive reviews requiring interpretive framing.

Pricing

Free plan$0
Pro$16/moBilled annually
Team$15/seat/moBilled annually

Features

  • Citation-trail deep search

    A search reads and evaluates hundreds of papers, following citation trails until it has found everything relevant to the stated research goal.

  • Brainstorm research directions

    Generates exploratory research directions and custom synthesis tables based on relevant literature.

  • In-line citation checks

    Any statement in a report can be traced back to the source paper by following the in-line citations attached to it.

  • Relevance sorting

    Displays relevance scores for the research question alongside options to sort and filter retrieved papers.

  • New paper notifications

    The tool keeps tabs on chosen areas of interest and sends a notification whenever relevant papers are published.

What users say

Pros

  • Monitors new papers matching specific research queries, alongside Google Scholar alerts and other feeds.
  • Finds papers and downloads full texts through its MCP integration, which a downstream model turns into a wiki.

Cons

  • Struggles with reflexive literature reviews and complex queries requiring nuanced domain framing.

Summarized from public user reviews and community discussions. View details

Global Traffic Rank

Top 1M

Alternatives

Rank#29 in category#7 in category#9 in category#11 in category
Free planYesYesYesYes
ProPaper monitoring for set queries, MCP search, full-text retrievalClear, current answers backed by sourcesReal citations, faster literature search, paper reading helpSurfaces relevant papers, cited summaries, and quality rankings
Better forChecking quick yes-or-no agreement across studies and answering everyday health questions.Automating systematic review screening and data extraction, plus ranking results by study design.
Weaker atPulling full-text papers to read and analyze across every retrieved study.Keeping entry-level paid plans affordable ($49/month billed annually vs $16/month).