Airbyte documentation
Airbyte is an open source data replication platform and context layer for AI agents. Equip your agents to query, search, and act on your data in real-time, or replicate data from hundreds of sources into warehouses, lakes, and databases.
Agents
Airbyte Agents is a data and context layer for AI agents. It gives your agents real-time access to business data through open-source, type-safe connectors, managed credentials, and low-latency search. Use it as a cloud platform or import connectors directly into your own agents.
Get started
New to Airbyte Agents? Learn what the product is, choose the right interface, or jump straight into building.
Core concepts
Understand the building blocks: the Connect-Ask-Act model, agent operations, the Context Store, and system architecture.
Interfaces
Choose how to work with your data: the web app, MCP server, Python SDK, or HTTP API.
Agent connectors
Browse the catalog of open-source connectors that equip agents to call third-party APIs.
Reference
API and SDK reference for endpoints, classes, methods, and type signatures
Account and administration
Manage billing, plans, payments, usage monitoring, and subscription changes.
Data Replication
Consolidate data from hundreds of sources into your data warehouses, data lakes, and databases. Then, move data into the operational tools where work happens.
Popular sources
Popular destinations
Platform
Create connections, build custom connectors, and start syncing data in minutes.
Connectors
Browse over 600 sources and destinations, and learn to set them up.
Release notes
See what's new. Self-Managed versions release regularly. Cloud customers always have the latest.
Developers
Interact with Airbyte programmatically using our API, Terraform provider, and more.
Community
Get help using, and contribute to, Airbyte.
