Undermind

Autonomous literature research for complex scientific questions

Undermind is an AI research assistant that searches scientific papers on your behalf and returns cited answers. It is designed for researchers who need fast literature review, novelty checks, and deeper topic exploration.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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Enterprise

Chrome Extension

B2B

RAG

Cloud Hosted

Fully Autonomous

For Teams

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Recent activity

What's happened with Undermind lately

May 22, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 10/32 → 11/3610 → 11/36(+1)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.

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About

What It Is

Undermind is an AI-powered research assistant built for scientific literature review and discovery. It is aimed at researchers, PhD students, R&D teams, and other technical users who need to work through large bodies of papers without manually reading everything first.

What to Know

Undermind seems strongest when you need depth rather than a quick search result. It is positioned to read and evaluate many papers, adapt its search strategy, and surface relevant sources you might miss in a manual review. The reported value is in...

Key Features

Searches scientific literature for a user-defined research question

Reads and evaluates large numbers of papers

Adapts search strategy recursively as it explores a topic

Traverses citation graphs to find related sources

Generates cited answers and research insights

Use Cases

Checking whether a research idea has already been explored

Scoping a niche scientific topic before starting a project

Finding methods, datasets, and prior solutions for a hard research problem

Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence

Last evaluated: May 22, 2026

Dimension Breakdown

Action Capability

Autonomy

Planning

Adaptation

State & Memory

Reliability

Interoperability

Safety

Operator Sovereignty

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