Airbyte

@AirbyteHQ

The data and action layer for AI agents

San Francisco, CA

Pinned
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
Sep 3
@MichelTricot sat down with @tfir_io on why APIs built for humans break AI agents 🎬 Agents need discovery, cross-referencing, and write-back across dozens of systems. Existing APIs were designed for narrow automations at low scale. Thin MCP wrappers don't fix that gap. His
Airbyte
@AirbyteHQ
Sep 2
Contractual sovereignty is a promise. Two Anthropic incidents in June proved the gap is real. A new perspective by Airbyte VP of Marketing @MarioMoscat
Sovereignty is Architectural, not Contractual | Airbyte
From airbyte.com
Airbyte
@AirbyteHQ
Sep 1
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
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