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Liner vs Local Deep Research

Both stand on ai research assistants. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Liner

Free plan AndroidAPIExtension+4

Liner brings cited search, research workflows, and document writing together, with a free plan and paid tiers. Review the upload and agent-credit limits against the work you need to do.

Visit Liner

Local Deep Research

Free plan APILinuxMac+3

Local Deep Research offers a broad, free toolkit for cited investigation across live sources and stored documents. Its security controls have stated boundaries, particularly for egress and the local-STDIO MCP server, so deployment choices matter.

Visit Local Deep Research

The facts

LinerLocal Deep Research
Free planYesYes
Open sourceNot publishedNot published
Runs onAndroid, API, Extension, iPhone, Mac, Web, WindowsAPI, Linux, Mac, Self-hosted, Web, Windows
Lowest paid planPro annual: $14.99 a monthNot published
Plans published7None
MakerNot publishedNot published
Websiteliner.comgithub.com
On ai research assistants#14 of 28#18 of 28

Liner: what it does well

  • Search answers provide citations users can check.
  • Scholar supports paper comparison and literature reviews.
  • Write exports documents as PDF or DOCX.
  • Team data is excluded from AI training.
  • Available across mobile, desktop, web, extension, and API.

What to know first

  • Free plan provides zero agent credits per month.
  • Free uploads are limited to one file daily.
  • Free answers include ads.

Local Deep Research: what it does well

  • Produces reports with source citations
  • Supports web, files, and connector-based research
  • Works with local and hosted language models
  • Offers web, Python, HTTP, and MCP interfaces
  • Exports PDF and Markdown reports

What to know first

  • Egress scopes are best-effort, not an air gap
  • MCP server has no built-in authentication or rate limiting
  • Requires installation through Docker, Compose, or pip
  • Free project has no free trial distinction

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