Airbyte

Description

Airbyte is an open-source data integration platform that moves data through ELT pipelines into any warehouse and provides a governed context layer for AI agents, backed by more than 600 connectors. It addresses a common problem with AI agents in production: rather than crawling live APIs across systems like Salesforce, Zendesk, and Stripe on every query, Airbyte replicates, unifies, and indexes data ahead of time so agents query one layer instead of many.

The architecture sits between your systems and your agents: Airbyte connects to sources through managed connectors with built-in OAuth, builds a governed context layer that is replicated and always fresh, and serves that context to any agent you run. This reduces token waste, latency, and rate-limit issues while giving agents a map of what data exists and how it connects. Teams keep their data portable and choose where it lives.

For developers, Airbyte offers a CLI, SDK, API, and MCP that work with any agent framework, managing connectors, OAuth, tool schemas, and action execution underneath the stack. Plans range from a free tier and self-managed open-source Core to managed data replication and agent-focused tiers with defined operation allowances.

Airbyte's Core Features

• Open-source data integration with 600+ connectors

• ELT pipelines into any data warehouse

• Governed context layer for AI agents

• Managed connectors with built-in OAuth

• Replicated, unified, and always-fresh context

• CLI, SDK, API, and MCP for any agent framework

• Portable data with control over where it lives

• Free tier plus self-managed open-source Core

How to use Airbyte?

1. 1

   Connect sources: Add sources from the library of managed connectors with built-in OAuth.

2. 2

   Build context: Let Airbyte replicate, unify, and index your data before any agent runs.

3. 3

   Choose storage: Decide where your data lives to keep it portable and unlocked.

4. 4

   Serve agents: Point your agents at the single context layer instead of live APIs.

5. 5

   Develop: Use the CLI, SDK, API, or MCP with your agent framework.

Airbyte's Use Cases

• Data replication
• AI agent context
• Reducing token waste
• Developer data infrastructure

FAQ from Airbyte

• What is Airbyte?

  Airbyte is an open-source data integration platform that runs ELT pipelines into any warehouse and provides a context layer for AI agents, with 600+ connectors.

• Why do agents need a context layer?

  Without one, agents crawl live APIs on every query, wasting tokens, adding latency, and hitting rate limits. Airbyte replicates and indexes data ahead of time so agents query one layer.

• How many connectors does Airbyte have?

  Airbyte has a library of more than 600 connectors for its data replication and AI context features.

• How do developers use Airbyte?

  Developers can use the CLI, SDK, API, or MCP with any agent framework, while Airbyte manages connectors, OAuth, tool schemas, and action execution.

• Do I keep control of my data?

  Yes. You choose where your data lives, keep it portable, and are never locked in.

• Is Airbyte free?

  Airbyte offers a free tier and a self-managed, open-source Core that is always free, plus managed and agent-focused paid plans.