Show HN: Airbyte Agents – context for agents across multiple data sources
I’m Michel, co-founder and CEO of Airbyte ( https://airbyte.com/ ). We’ve spent the last six years building data connectors. Today we're launching Airbyte Agents ( https://docs.airbyte.com/ai-agents/ ), a unified data layer for agents to discover information and take action across operational systems. Here’s a quick walkthrough: https://www.youtube.com/watch?v=ZosDytyf1fg As agents move into real workflows, they need access to more tools (e.g. Slack, Salesforce, Linear). That means a ton of API plumbing: authentication, pagination, filters, handling schema, and matching entities across systems. Most MCPs don’t fix this. They’re thin wrappers over APIs, so agents inherit their weak primitives and still get it wrong most of the time, especially when working across tools. An even deeper issue is that APIs assume you already know what to
Why it failed
I’m Michel, co-founder and CEO of Airbyte ( https://airbyte.com/ ). We’ve spent the last six years building data connectors. Today we're launching Airbyte Agents ( https://docs.airbyte.com/ai-agents/ ), a unified data layer for agents to di
- Kind
- startup
- Status
- Shut down
- Inventor
- mtricot
- Ended
- 2026
- Source
- hackernews