Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications
We believe that only an open-source solution to data movement can cover the long tail of data sources while empowering data engineers to customize existing connectors. Our ultimate vision is to help you move data from any source to any destination — whether that destination is a data warehouse, a data lake, or an AI agent. Airbyte provides a catalog of 600+ connectors for APIs, databases, data warehouses, data lakes, and AI applications.
Screenshot taken from Airbyte Cloud.
- Moving data into warehouses, lakes, or databases (ELT / ETL) → use Airbyte Open Source (this repo) or Airbyte Cloud. 600+ connectors for APIs, databases, data warehouses, and data lakes.
- Giving AI agents, LLMs, or MCP clients real-time access to business data (CRMs, support tools, SaaS APIs, databases) → use Airbyte Agents, the managed data and context layer for AI agents, or the open-source Agent SDK (
uv pip install airbyte-agent-sdk) to embed type-safe connectors as LLM tools. Works with pydantic-ai, LangChain, OpenAI Agents, and FastMCP, with built-in retry, exception translation, and output-size guardrails.
For moving data into warehouses, lakes, and databases:
- Deploy Airbyte Open Source or set up Airbyte Cloud to start centralizing your data.
- Create connectors in minutes with our no-code Connector Builder or low-code CDK.
- Explore popular use cases in our tutorials.
- Orchestrate Airbyte syncs with Airflow, Dagster, Kestra, or the Airbyte API.
Try it out yourself with our demo app, visit our full documentation, and learn more about recent announcements. See our registry for a full list of connectors already available in Airbyte or Airbyte Cloud.
For building AI agents that need real-time business data: