Airbyte AgentsUnify your data so AI agents reason faster, cheaper, smarter

Airbyte Agents

Airbyte Agents is the context layer that transforms scattered business data into unified intelligence for AI agents. Connect 600+ SaaS tools once, and every agent you build gains real-time, cross-system understanding of your customers, deals, and operations—eliminating fragmented answers and guesswork.

Product Highlights

• Context Store: A unified, searchable index of all your business data across CRM, support, billing, and dev tools, giving agents complete context in one query
• 600+ Pre-built Connectors: One-click authentication to Salesforce, Zendesk, Stripe, Linear, GitHub, and hundreds more with managed OAuth and token refresh
• MCP & SDK Support: Deploy instantly via Model Context Protocol for Claude and ChatGPT, or build custom agents with the Python SDK—framework agnostic for LangChain, CrewAI, LlamaIndex, and more
• Real-time Sync: Production-grade replication infrastructure trusted by 20% of the Fortune 500, ensuring agents act on current data, not stale snapshots

Use Cases

• Customer Support Agents: Resolve tickets faster by instantly accessing customer history across Salesforce, Zendesk, Stripe, and Gong—understanding that "Sarah Chen" in one system is "sarah@acme.com" in another
• Sales Automation: Build agents that qualify leads and update deals using unified context from CRM conversations, billing status, and support tickets without fragmented API calls
• Engineering Operations: Connect Linear, GitHub, and Slack so migration agents understand that a ticket, branch, and thread represent one project—not three separate items
• Financial Analysis: Power AI-driven financial models with fresh, reliable data from multiple sources for automated reporting and business intelligence

Target Audience

Airbyte Agents is built for AI developers, product teams, and data engineers who need production-ready context infrastructure without building custom integrations. Ideal for companies already using AI frameworks and seeking to deploy context-aware agents that actually understand their business.