Airweave is an open-source platform that enables agent developers to transform app data into accessible knowledge for AI agents. Airweave connects to virtually any app, database, URL, or API, automating the process of authentication, data ingestion, enrichment, mapping, and syncing to a wide array of vector stores and graph databases.
The platform is designed to structure and unify data, making it easily retrievable for AI agents and applications. Developers can use Airweave through a web UI, REST API, or SDKs, and can extend the platform with minimal code. This flexibility allows teams to empower AI agents with deep, contextual knowledge about users’ apps and workspaces.
Key features of Airweave include:
- White-labeled multi-tenant support for scalable deployments
- Over 100 data connectors
- Unified agentic search layer
- Automated sync with various data stores
- No code required for many integrations
- Bring-your-own-data-store options
How Was Airweave Started?
Airweave was founded by Lennert Jansen, Rauf Akdemir, and Daan Manneke, who collectively bring expertise in building scalable, developer-focused platforms. The company is headquartered in San Francisco, California, and is currently a small, focused team.
In July 2025, Airweave announced a $6 million seed round led by FCVC, with participation from LUX Capital, Y Combinator, Orange Collective, Pioneer Fund, Shay Banon (Founder of Elastic), and other investors. This funding supports Airweave’s mission to empower agents with critical knowledge and accelerate the growth of the agent economy.
Who Uses Airweave?
Airweave primarily serves agent developers and AI platform teams who need to connect multiple data sources and provide AI agents with comprehensive, real-time knowledge. Notable users and early adopters include Sam Stoelinga, Andreas Lepidis, Thomas Wieringa, Guus van Heijningen, and Titus Ex. Its multi-tenant and scalable design also makes it suitable for SaaS providers and enterprises managing complex data environments.
What Makes Airweave Different?
A key differentiator for Airweave is its open-source approach combined with robust automation for connecting, enriching, and syncing diverse data types. The platform’s support for 100+ connectors, automated workflows, and minimal code requirements lower the barrier for teams to build and deploy knowledge-powered agents. Its white-label and multi-tenant capabilities further enable organizations to customize deployments for their specific needs.
Who Are Airweave’s Competitors?
Airweave competes with other data integration and agent-enablement platforms that focus on making app data accessible for AI use cases. This includes commercial solutions for ETL (Extract, Transform, Load), data pipelines, and AI knowledge management. Its open-source model and deep integration with AI agent frameworks help distinguish it in the market.
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