Save from multiple sources
Capture research from web pages, PDFs, videos, emails, AI chats, and local files so material does not stay scattered across separate tools.
Liminary
Liminary is an AI-powered knowledge workspace that saves information from web pages, PDFs, videos, emails, AI chats, and local files, then surfaces relevant context when you need it. It is built for knowledge workers who need research, fact-checking, and project memory to carry across deliverables.
AI-powered storage and recall for knowledge work
Liminary is an AI-powered knowledge workspace for people who need research and expertise to carry forward from project to project. It is designed to save information from web pages, PDFs, videos, emails, AI chats, and local files, then surface relevant context when you need it instead of leaving you to search through disconnected folders, tabs, or notebooks.
The product emphasizes retrieval with source traceability. Liminary says every answer can show where it came from, every source is one click away, and user data is encrypted, siloed to the workspace, and not used to train AI models. The site also positions Liminary as useful for research, fact-checking, gap detection, and collaboration across deliverables and teams.
Core capabilities
Annotate as you save
Add notes and context while reading so saved material includes your own thinking as well as the source content.
Watch for new research
Keep track of new information on a client or project with a watchlist that monitors for updates.
Recall across projects
Retrieve relevant past work when starting something new, including material from earlier projects and deliverables.
Fact-check and gap detection
Check claims against stored sources and surface missing information before you deliver work.
Work inside familiar tools
Use the Chrome extension and assistant workflows to capture meetings, draft or edit emails in Gmail, and work in Notion with saved context.
Common workflows
Long-running project research
Save research as you browse, add notes, and later pull that material back into a new client engagement or internal project without rebuilding context from scratch.
Fact-checking deliverables
Work across articles, PDFs, AI chats, and meeting notes while keeping source references attached, which is useful when you need to verify a claim before publishing or presenting it.
Ongoing intelligence tracking
Monitor a client, sector, or topic with a watchlist so new material is surfaced automatically instead of requiring repeated manual searches.
Meeting follow-through
Capture meeting context and later reuse it in drafting, editing, or follow-up work, including Gmail and Notion workflows mentioned on the site.
Team research collaboration
Keep knowledge shared across a small team so research and sources can be reused rather than isolated in individual workspaces.
Pros and Cons
Pros
- Captures information from several content types, including web pages, PDFs, videos, emails, AI chats, and local files.
- Surfaces saved context from past work, which helps when research needs to compound across projects.
- Provides source traceability so answers can be checked back against the underlying material.
- Includes fact-checking and gap-detection workflows for deliverables.
- Offers privacy-focused controls such as encryption, workspace siloing, and data deletion options.
Cons
- The public pages do not spell out every supported integration or workflow in detail.
- Some feature descriptions are high level, so buyers may need a demo to understand day-to-day setup and limits.
- Pricing is split across Free, Pro, and Team plans, but the site does not expose every usage constraint in the extracted text.
FAQ
What is Liminary?
Liminary is an AI-powered memory and research workspace. It lets you save content from multiple sources, add notes, and later retrieve or surface relevant information when you need it.
Who benefits most from using Liminary?
It is aimed at knowledge workers who need research to compound over time, including consultants, researchers, strategists, analysts, and other professionals who work across many projects.
How is Liminary different from other AI knowledge tools?
Liminary differs by focusing on saving and recalling knowledge across sources, rather than handling a single chat or notebook at a time. The site positions it as a layer underneath your work that can surface relevant saved context in the tools where you work.
Which file formats and platforms does Liminary support?
The site says you can save articles, reports, PDFs, AI chats, videos, emails, and local files, and that it supports recalling knowledge from LLM chats, web pages, PDFs, and videos.
Can I use Liminary with my team?
Liminary can support team use through a Team plan, and the product pages also mention shared research, shared team knowledge bases, and workflow integrations.
Quick Facts
- Category
- AI knowledge management
- Primary users
- Consultants, researchers, analysts, strategists, and other knowledge workers
- Platform
- Chrome extension plus web-based workflows
- Pricing model
- Free trial available; paid Pro and Team plans
- Website
- liminary.io
- Data handling
- Encrypted, siloed to workspace, and not used to train AI models
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