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Contrive

Desktop command bar that searches and acts across Slack, Notion, Google Drive, and other workspace apps.

Retrieval (RAG)Desktop appSearchRAG
contrive.app ↗XLaunched on Product Hunt · 2026-08-24
At a glanceswept 2026-09-17
For
Teams managing work across multiple apps like Slack, Notion, and Google Drive
Price
Price not read
Use
Emerging≈ 3 visits a month · estimate, 2026-09
Activity
Actively maintainednothing dated on the site
Company
since 2026first launch
Runs as
Desktop app
What people do with it
  • Search across connected workspace apps from one command bar
  • Get AI-generated answers with context from permitted sources
  • Create tasks, send messages, and run workflows across apps
Alternatives in Retrieval (RAG)by use, among tools still maintained
  • LangChainBuilds and deploys agents with observability, evaluation, and monitoring tools.Widely usedActivity not read yet
  • PineconeStores and retrieves vector embeddings at scale for retrieval-augmented generation and agent knowledge systems.Widely usedActivity not read yet
  • LinerEstablishedActively maintained
  • CohereProvides generative language models and retrieval optimization for enterprise AI applications.EstablishedActivity not read yet
  • ReductoParses documents into structured data with layout preservation, table extraction, and bounding box citations.EstablishedActivity not read yet
  • LlamaIndexParses and extracts structured data from complex documents using agentic OCR and layout-aware processing.EstablishedActivity not read yet

All Retrieval (RAG) tools →

Questions this page answers
  • What is Contrive?

    Desktop command bar that searches and acts across Slack, Notion, Google Drive, and other workspace apps.

  • Who is Contrive for?

    Teams managing work across multiple apps like Slack, Notion, and Google Drive

  • Do people use Contrive?

    Emerging: ≈ 3 visits a month · estimate, 2026-09.

  • Is Contrive still maintained?

    Actively maintained.

  • What are alternatives to Contrive?

    In Retrieval (RAG), by use: LangChain, Pinecone, Liner, Cohere, Reducto, LlamaIndex.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.