Airweave

Airweave

Airweave is an open-source tool that transforms any application's data into searchable knowledge for AI agents, offering 100+ connectors, automated sync capabilities, and seamless integration without requiring code.
https://airweave.ai/?ref=aipure
Airweave

Product Information

Updated:Jun 16, 2025

Airweave Monthly Traffic Trends

Airweave received 6.1k visits last month, demonstrating a Significant Growth of 107.4%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history traffic

What is Airweave

Airweave is a modern, distributed system founded in 2025 by Rauf Akdemir and Lennert Jansen that bridges the gap between scattered application data and AI agents. As part of Y Combinator's X25 batch, it provides a platform that enables AI agents to semantically search and access data from various sources including apps, databases, and APIs. The platform is designed to be cloud-agnostic and can be deployed in multiple ways, making it highly flexible for different organizational needs.

Key Features of Airweave

Airweave is an open-source tool that transforms application data into agent-ready knowledge by connecting to various data sources like apps, APIs, databases, and websites. It provides seamless data synchronization, semantic search capabilities, and a unified search layer that makes workspace data easily accessible for AI agents. The platform offers no-code setup, white-labeled multi-tenant support, automated sync jobs, and flexible deployment options through Docker, Kubernetes, or cloud API.
100+ Pre-built Connectors: Integrates with over 100 data sources through OAuth2, API keys, or database credentials, making it easy to connect with various platforms and services
White-Labeled Multi-Tenant Support: Enables secure data synchronization across multiple tenants using OAuth2-based security, ideal for SaaS platforms and enterprise applications
Unified Agentic Search Layer: Provides a powerful semantic search capability across all workspace data, allowing agents to quickly find and retrieve relevant information
Automated Data Sync: Offers both scheduled automatic data synchronization and on-demand sync jobs to keep information current and accessible

Use Cases of Airweave

Enhanced Customer Support: AI agents can instantly access information across multiple platforms (Salesforce, Gmail, Zendesk) to provide comprehensive customer support responses
Project Management Assistant: Enables AI assistants to query multiple project management tools (Asana, Confluence, Google Drive) for comprehensive project status updates
Personalized Content Recommendation: Analyzes user activity across various platforms (Notion, Calendar, LinkedIn) to provide tailored content recommendations

Pros

No coding required for basic setup and integration
Flexible deployment options (Docker, Kubernetes, Cloud)
Maintains data privacy by allowing users to host their own data

Cons

Currently only supports vector databases as destinations
Requires technical knowledge for advanced customization

How to Use Airweave

Install Airweave: Make sure docker and docker-compose are installed, then clone the repository with: git clone https://github.com/airweave-ai/airweave.git cd airweave. Install SDK with: npm install @airweave/sdk or yarn add @airweave/sdk
Set up data connection: Connect to your data sources using OAuth2, API keys, or database credentials. Airweave supports 100+ pre-built connectors for apps like Notion, Slack, GitHub, etc.
Configure and start sync: Run the initial sync to index your data. You can configure sync settings like scheduling automatic syncs or running on-demand sync jobs to keep data updated. Configure custom vector database in UI or through API if needed.
Set up search endpoint: Give your agent access to the search endpoint which allows it to semantically search across all connected data sources. The unified search layer enables agents to find relevant information.
Customize settings (optional): Configure additional settings like multi-tenant support, custom chunk generators, white labeling features, etc. based on your specific needs. You can also choose deployment options like Docker Compose, API or Kubernetes.
Test and monitor: Test your agent's ability to search and retrieve information from connected data sources. Monitor sync jobs and data updates to ensure everything is working as expected.

Airweave FAQs

Airweave is an open-source tool that lets agents semantically search any app, database, or API. It helps transform data into agent-ready knowledge by breaking it into processable entities and making it retrievable through REST and MCP endpoints.

Analytics of Airweave Website

Airweave Traffic & Rankings
6.1K
Monthly Visits
#2750982
Global Rank
-
Category Rank
Traffic Trends: Mar 2025-May 2025
Airweave User Insights
00:01:11
Avg. Visit Duration
2.25
Pages Per Visit
51.24%
User Bounce Rate
Top Regions of Airweave
  1. US: 55.55%

  2. IN: 41.2%

  3. DE: 3.25%

  4. Others: NAN%

Latest AI Tools Similar to Airweave

Snapmark
Snapmark
Snapmark is an AI-powered search engine for bookmarks that allows users to save, search, and organize websites, images, and text without manual tagging or categorization.
Uměl.cz
Uměl.cz
Uměl.cz is a Czech AI-powered search engine that provides intelligent and contextual answers to user queries.
ReviewPower
ReviewPower
ReviewPower is an all-in-one platform that aggregates and analyzes trusted reviews from G2 and Capterra to help businesses gain valuable insights from customer feedback.
AskWiki
AskWiki
AskWiki is a semantic intelligence software and natural language search engine that enables users to query Wikipedia content through simple questions and receive specific, accurate answers.