A

Marketing agents

Airbyte

Open-source data pipeline that pulls every ad and analytics source into one warehouse

22,216 stars MIT last push 2026-10-13

Airbyte is an open-source data integration platform with 350+ connectors. For a marketing agent it is the ingestion layer: it pulls Facebook Ads, Google Ads, Google Analytics, Posthog, HubSpot, and Stripe into a single warehouse so the agent can tie a specific ad to the revenue it drove. Self-hostable or via Airbyte Cloud.

GitHub stars

22,216

daily snapshots
2026-09-01 to 2026-10-13

What Airbyte is

Airbyte is an open-source data integration platform. It moves data between sources and destinations and is increasingly positioned as the context layer for production AI agents.

Key features

  • 600+ connectors - databases, APIs, warehouses, and SaaS tools.
  • ELT pipelines - extract, load, and transform into warehouses.
  • Context Store - a queryable store for agent context.
  • MCP Gateway - expose connectors through the Model Context Protocol.
  • Agent discovery - llms.txt and agent-skills/index.json for agent integration.

Use case

Airbyte is for teams building agents that need fresh, structured data from many systems. It is a data-engineering tool first, but the MCP and context features make it agent-relevant.

License

Open source; check the repository for current license details.

Honest caveat

Airbyte is not a consumer agent tool. It is infrastructure. If you need an agent that reasons across your data, Airbyte is likely part of the pipeline, not the user interface.

At a glance

Who's behind it

Airbyte

GitHub stars
https://github.com/airbytehq/airbyte
22,216 stars - updated 2026-10-13
License
MIT
Platforms
self-hosted, cloud
Website
https://airbyte.com