Airbyte

@AirbyteHQ

The data and action layer for AI agents

San Francisco, CA

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Airbyte
@AirbyteHQ
May 5
Today we're launching Airbyte Agents. It’s a platform meant to solve what we call the discovery gap. Agents in demos are successful because they know the fields and sources they have to call to solve their task. Agents in production fail because they don’t have that knowledge
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Airbyte
@AirbyteHQ
9h
Semantic search now on 10 Airbyte connectors. New: @freshdesk, @twilio, @typeform, @incident_io. Query meaning, not just fields. We also just dropped a new @gmail agent connector.
New Airbyte Agents Updates: Semantic Search for Freshdesk, Twilio, Typeform, and Incident.io |...
From airbyte.com
Airbyte
@AirbyteHQ
Aug 31
Usage caps don't fix AI spend. Input tokens are 85-97% of agent cost. You're paying for fetching, not thinking. The fix is architectural, as described by Airbyte CTO Davin Chia.
Usage Caps Are a Confession, Not a Strategy | Airbyte
From airbyte.com
Airbyte
@AirbyteHQ
Aug 30
Auth alone isn't enough for production grade agents It doesn't solve memory, discovery, or entity resolution.
Auth Is Just the First Step for AI Agents | Airbyte
From airbyte.com
Airbyte
@AirbyteHQ
Aug 28
A deploy restarts the pod. Monitoring shows green. The procurement approval the agent was running since Monday is gone. The fix: state machines with durable records that outlive the process. airbyte.com/blog/agent-sta…