Show HN: Airbyte Agents – context for agents across multiple data sources
What it is
Picture an AI agent that needs to check your CRM, pull payment data from Stripe, and post to Slack. Normally you'd wire up three separate integrations. Airbyte Agents provides a single data layer—the agent asks one interface, which routes queries across all your operational systems using Airbyte's pre-built connectors. Think of it as a universal translator between agents and your scattered data sources.
Why it matters
If you're building agents that need real business context—not just knowledge bases—you're facing integration hell. Every new data source means another API, auth flow, and schema to wrangle. This matters if you want agents that can actually *do* things across your toolstack without months of plumbing. The flip side: you're trusting Airbyte's layer between your agent and your operational data.
Key details
- •Built on Airbyte's existing connector library—350+ pre-built integrations to SaaS tools, databases, and APIs
- •Provides unified query interface so agents discover and pull data without per-system integration code
- •Enables agents to trigger actions (not just read data) across operational systems
- •Launched May 2025 with documentation at docs.airbyte.com/ai-agents/
- •Positioned as infrastructure for agentic workflows that need cross-system context