MORI
Mori.co was an AI-powered “second brain” that helped users capture, organize, and retrieve notes and knowledge across documents, web clips, audio, and PDFs. Leveraging top AI models, Mori auto-tagged
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What is MORI?
Mori was an AI-powered note-taking and knowledge management tool designed to capture information from multiple sources, documents, web clips, audio recordings, and PDFs, and organise it automatically. The tool used AI models to tag content, create connections between related ideas, and make information searchable through natural language queries. It was aimed at knowledge workers, researchers, and teams who gather information across many formats and need a way to store and retrieve it without manual organisation. Mori appears to be no longer in active service, but it was notable for requiring minimal user effort to keep notes organised, offering cross-platform access, and turning scattered information into a structured knowledge base. The service included team collaboration features with privacy protections.
Key Features
Auto-tagging
AI automatically categorises and tags content from any source
Knowledge graph
Connects related ideas and notes to show relationships between concepts
Natural language search
Find information by asking questions rather than typing keywords
Multi-format capture
Accepts documents, web clippings, audio files, and PDFs
Summarisation
AI-generated summaries of longer pieces of content
Team collaboration
Shared workspaces with privacy controls and permission management
Pros & Cons
Advantages
- Minimal manual organisation required; AI handles tagging and structuring
- Works with diverse input types, so you can capture information however it comes to you
- Natural language search makes retrieval intuitive
- Shows connections between ideas automatically through the knowledge graph
- Privacy-focused collaboration features for teams
Limitations
- Service appears to be shut down, so it is no longer available for new users
- Dependency on AI accuracy means auto-tagging and summarisation may require review in some cases
Use Cases
Researchers collecting and organising sources across papers, articles, and multimedia
Product managers tracking feature requests, user feedback, and competitive intelligence
Content creators building topic clusters and idea networks for writing projects
Teams managing shared knowledge bases and documentation with automatic indexing
Professionals capturing insights from meetings, podcasts, and articles throughout the day