Kahubi vs ResearchRabbit

ResearchRabbit turned literature discovery into something you can see: seed a collection with papers and explore the citation network around them, with alerts as new work appears. Kahubi approaches discovery as one stage of the project: the papers you find become a library the agent reads, cites, and writes from. Here is an honest comparison.

Short answer

ResearchRabbit is a free, visual way to explore citation networks and keep discovery collections. Kahubi turns the papers you discover into a working library that is read, screened, analysed and cited into a manuscript in one place.

Pick ResearchRabbit if…

You want a free, visual way to explore citation networks and keep discovery collections, and the rest of your workflow lives elsewhere.

Pick Kahubi if…

You want the papers you discover to become a working library: read, screened, analyzed, and cited into a manuscript in one place.

Coming from ResearchRabbit?

Bring your papers. Drop an export of your list (RIS, BibTeX, CSL JSON or CSV) and it is in your library the moment you sign in. The file stays in your browser until then.

No export at hand? Start with a search instead

  • Hosted in the EU
  • Free plan, no card
  • Cancel anytime
  • Your data is never used for training

What ResearchRabbit does well

Credit where it's due: these are real strengths, and for some workflows they are exactly what you need.

  • Visual exploration of citation networks: seeing how papers connect, not just listing them
  • Growing a collection from seed papers, with recommendations that improve as you add more
  • Alerts when new papers appear around your collections
  • Free to use, with a genuinely novel interaction model for discovery

Where Kahubi differs

Discovery is a stage, not the destination

ResearchRabbit excels at the map. Kahubi covers the territory after it: found papers land in a managed library (with open-access PDFs fetched automatically where available), the agent reads and cites them in chat, and they carry through screening, analysis, and the manuscript without an export step.

An agent that reads, not only recommends

Recommendations tell you a paper might matter; Kahubi’s agent tells you what it says. Ask a question and it searches your library and the open literature, reads the relevant papers, and answers with citations, flagging claims it cannot support from your sources instead of inventing references.

Monitoring built into the same workspace

Kahubi’s field monitor follows topics, authors, and journals and emails you a digest on your schedule. Because it lives next to your library, a paper in the digest is one click from being read, cited, and used in a draft.

Everything after the reading list

Statistics on your data, EU-processed interview transcription and coding, systematic review screening with PRISMA output, grant flows, and a compiled LaTeX manuscript in your own writing voice: the parts of the project a discovery tool leaves to other software.

Feature comparison

CapabilityResearchRabbitKahubi
Chats with your full library
Nodiscovery and collections, not reading or Q&A over full texts
Yesthe agent reads, searches, and cites your whole library
Edits a real LaTeX manuscript (compiled to PDF)
No
YesLaTeX → PDF compile built in, plus .docx and .tex export
Systematic review flow with PRISMA support
Partialexcellent for finding candidate papers; no screening or write-up
Yesdefine → search → screen → written review (PRISMA, MOOSE, Cochrane)
Statistics on your CSVs (t-tests, ANOVA, regression…)
No
Yesfrom t-tests to PCA and Cronbach’s alpha, results land in your draft
Interview transcription processed in the EU
No
Yesspeaker labels, 99+ languages, EU-based providers
Learns your writing voice from your papers
No
Yesa style profile learned from your own publications

Last reviewed October 2026. Based on each product's public materials. Features change, so verify details on their site. Spotted something out of date? Tell us and we'll fix it.

Kahubi pricing

Simple monthly plans, cancel anytime. A real free tier to start with, and predictable monthly cost on every paid plan.

Free
$0/ month

Try Kahubi on a small project

Starter
$29/ month

For a single ongoing study

Growth
$59/ month

For active researchers

Max
$109/ month

For labs and heavy users

See full plan details →

Kahubi vs ResearchRabbit: common questions

Does Kahubi do citation-network discovery like ResearchRabbit?
Kahubi’s discovery is search- and agent-driven rather than graph-visual: the agent searches OpenAlex and Semantic Scholar, follows references and citations of papers you care about, and imports what is relevant. If you love the visual map, use both - Kahubi imports BibTeX/RIS exports directly into your library.
Can Kahubi alert me to new papers like ResearchRabbit does?
Yes. The field monitor follows topics, authors, and journals, checks on your schedule, and emails a digest. Papers in the digest are one click from your library, where the agent can read and cite them.
ResearchRabbit is free. What does Kahubi’s free plan include?
The Free plan has 25 AI messages a month, a one-time 30-minute transcription trial, 2 projects, and a 200-paper library, with no credit card required. Discovery-adjacent features (library, import/export, monitoring) are part of the workspace rather than paywalled add-ons.
Can I move my ResearchRabbit collections into Kahubi?
Export your collection as BibTeX or RIS and import it into a Kahubi project. The library picks up the metadata and fetches open-access PDFs where available.

Related

Try the Kahubi side of the comparison

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