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Airweave - Let Agents Search Any App

Open-source tool enabling AI agents to search any app

TL;DR: Airweave transforms app data into agent-ready knowledge.

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šŸŽ¬ Demo

Check out our demo below to see Airweave’s G-Drive and Slack search in action used by Claude Desktop, showcasing how Airweave outperforms Anthropic’s own built-in Google Drive connector ā¤µļø

https://youtu.be/XkC5z0AkW8E

āŒ The Problem

  • Agents struggle with vague or informal requestsĀ likeĀ ā€Resolve that one Asana ticket about auth configsā€ or ā€œcancel Alex’s Stripe payment for Taylor Swift ticketsā€
  • Typically, then agents hallucinate when they can't find data, or rely on inefficient chains of function calls
  • MCP encourages agent-app interactions, but MCP servers alone don’t make workspaces semantically searchable

āœ… Our Solution: Airweave

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  • Airweave connects to productivity tools, databases, or document stores makes their contents searchable for agents
  • Bottom line:Ā Your agent gets a simple search endpoint. Your users get reliable, personalized experiences

Features

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  • Open-Source
  • Simple yet powerful search interfaceĀ via REST or MCP
  • MCP-compatible: Turn any app into a semantically searchable MCP server
  • Python & TypeScript SDKs
  • Connect to your agent to your favorite apps like Google Drive, Gmail, Outlook, Google Calendar, HubSpot, Notion, Jira, Slack, Dropbox, Stripe, Github, etc.
  • White-Labeled Multi-Tenancy to provide OAuth2-based integration across user accounts with secure boundaries
  • File Handling: Supported formats: DOCX, PDF, PPTX, XLSX, HTML, TXT, PNG, JPEG

Examples of How Customers Use Airweave:

  • Legal AI assistants searching Google Drive/OneDrive to give accurate Perplexity-like answers
  • Agents for engineering managers scanning GitHub, Notion, and Jira to understand codebases and draft design docs
  • Compliance agents verifying marketing materials against current Dropbox financial data in regulated industries

šŸ¤ The Team

Lennert and Rauf met in uni 7 years ago, and have been friends since. Lennert did AI research at Amazon and IBM, and has been working with LLMs since 2020. Rauf is a CS grad and worked as a Data Platform Engineer at fast-growing startups and large enterprise.

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šŸ“¢ Our Asks: