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Airy is an open-source data platform designed to build real-time data pipelines and make data universally accessible. Originally focused on conversational AI, Airy has been acquired by Confluent and now empowers AI Agents with stream processing capabilities. It enables continuous monitoring of data streams and triggering of actions by combining live Kafka streams with historical data in open formats. Airy provides data schemas, lineage, and governance for AI Agents, ensuring they stay grounded, responsive, and intelligent. The platform supports multi-agent AI systems powered by event-driven architecture, allowing agents to understand enterprise data by AI-generating and indexing metadata. It integrates with foundational and custom models, enabling complex event processing with Apache Flink. Airy is suitable for developers building real-time data pipelines and businesses seeking to empower AI assistants with prebuilt connectors for data sources, foundation models, and vector databases.
4.5/5
High, consistent, and on-brand
Clean and minimal
To build real-time data pipelines and enable AI Agents with stream processing and data governance.
Integrates with Kafka, Apache Flink, various data sources, foundation models, and vector databases.
Open-source with enterprise options
Features with the highest value for users are highlighted here.
Real-time data pipelines
Stream processing for AI agents
Event-driven architecture
Multi-agent AI systems
Data lineage and governance
Apache Flink integration
Prebuilt connectors
Self-serve AI/BI
Data Engineers
AI/ML Engineers
DevOps Teams
Product Managers
Enterprise Architects
Startups
Data Scientists
Business Analysts
Customer Support Teams
Open Source Contributors
Open Source
Enterprise
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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