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What is Gems?

Gems is an AI knowledge assistant that lets you ask questions in natural language and returns written-out, structured answers it calls "Gems". It draws on the tools and notes you connect, includes the underlying sources with every answer, and requires no manual filing or organisation. It is available as a desktop app for Mac and Windows and is currently in beta.

Key Features

Natural language questions

Ask anything the way you would ask a colleague and get a written answer back.

Synthesised answers (Gems)

Returns structured, written-out responses rather than a list of links.

Cited sources

Every answer includes the sources it was drawn from so you can verify it.

Tool connections

Connect your knowledge tools and sources in seconds with no ongoing upkeep.

One-shortcut paste

Drop an answer into any other application with a single keystroke.

Shared spaces

Post and share Gems with a team in collaborative spaces.

Context clipping

Optionally add reference text to give a question more context before asking.

Pros & Cons

Advantages

  • Answers come with their sources attached, which makes them easier to trust and check.
  • It auto-organises your knowledge, so there is no manual filing or tagging to maintain.
  • The free tier offers unlimited AI interactions and does not require a credit card to start.
  • Native Mac (M1, M2, Intel) and Windows desktop apps are available.
  • The one-shortcut paste makes it quick to move answers into your existing workflow.

Limitations

  • The product is still labelled as beta, so features and stability may change.
  • The homepage does not name which specific tools and integrations are supported.
  • The free and Plus tiers limit you to one and two app integrations respectively.
  • There are no native mobile apps listed, only Mac and Windows desktop downloads.

Use Cases

Professionals who need to recall information scattered across their work tools without searching each one.

Consultants and analysts pulling together answers from notes and documents for client work.

Teams that want a shared knowledge base where members can post and reuse answers.

Individuals who want a personal memory layer they can query in plain language.

Researchers who need answers with traceable sources rather than unattributed summaries.

Anyone who wants quick answers pasted straight into emails, documents or chat tools.