Airbyte Enterprise

Data infrastructure and layer designed specifically for AI agents to access, query, and unify business data for agentic workflows.

AI agent platform that connects agents to business data and assembles context before execution. Enables building agents with business knowledge and context awareness.

Integrations that connect AI agents and data pipelines to 1000+ data sources and destinations for unified data access.

Flexible data replication platform for custom extract-load workflows with simplified configuration.

Low-code/no-code tool for building and customizing data connectors without extensive engineering effort.

Data management and organization system for AI agents that maintains business context and knowledge for agent execution.

Python SDK for programmatic data replication and integration, enabling developers to build custom data pipelines and agent workflows.

50+ typed SDK connectors specifically designed for agent workflows with auto-complete support. New connectors added weekly.

A Model Context Protocol integration that grants Claude, ChatGPT, Cursor, and other MCP clients authenticated access to your unified business data through Airbyte's Context Store. Enables AI assistants to query across all connected systems in a single prompt.

A Python SDK for building custom AI agents with programmatic access to the Context Store. Returns full entity graphs and relationships in a single call, works framework-agnostic with LangChain, CrewAI, LlamaIndex, AutoGen, and Claude Agents.

A no-code UI for building ready-made AI agents. Users connect tools, describe their business needs in natural language, and Airbyte Agents execute automated workflows without code.

REST API for programmatically managing data connectors, context building, and agent queries against the unified data layer.

Command-line interface for installing, authenticating, and managing Airbyte connections and agent operations from the terminal.

A command-line interface for building and deploying AI agents, supporting authentication, agent development, and integration with Airbyte's data infrastructure.

A data infrastructure layer that pre-indexes and unifies data from multiple sources (CRM, support desk, code repos, etc.) with real-time read/write access for AI agents, eliminating token waste and latency from live API crawling.

A managed context layer that replicates, unifies, and indexes data from multiple sources before serving it to AI agents. Supports both Airbyte-managed storage and bring-your-own-warehouse options with live API access.

A Model Context Protocol implementation that enables AI agents to access pre-indexed, unified data from Airbyte's context layer with structured tool schemas and action execution.

Software development kit enabling developers to integrate Airbyte's context layer and connector infrastructure into custom agent frameworks and applications.

A software development kit enabling developers to integrate Airbyte's context layer and connector infrastructure into custom agent applications.

Airbyte's core infrastructure that replicates, unifies, and pre-indexes data from multiple sources to create a fresh, searchable context layer for agents.

Pre-built connectors to 600+ business applications including CRMs, support systems, billing platforms, HR tools, and developer tools. Provides one-click setup with managed authentication.

Handles OAuth, API keys, and token refresh automatically. Agents authenticate once and never require manual authentication maintenance.

Pre-built connectors to 20K+ data sources including Salesforce, Zendesk, Stripe, and other enterprise systems with built-in OAuth authentication.

A platform that provides unified context across disconnected enterprise systems, enabling AI agents to understand relationships between data sources (e.g., Salesforce, Zendesk, Stripe) and deliver more accurate, contextual responses.