awesome-integration

Agent-to-Agent protocol for AI agent interoperability. Enables agents to discover each other via agent cards, exchange messages, and delegate tasks across frameworks and vendors. Created by Google, governed by the Linux Foundation.

A message queuing protocol that enables the exchange of messages between applications or systems. AMQP 0-9-1 provides reliability, security, and flexibility to handle complex messaging scenarios.

A widely accepted message queuing protocol that provides reliable, interoperable, and efficient messaging between systems. AMQP 1.0 supports a broad range of messaging scenarios and is ideal for complex enterprise-level applications.

Data serialization system that provides compact, fast, and efficient serialization of structured data. It supports schema evolution, allows for efficient data compression, and is designed to work well with big data processing frameworks.

A serialization and RPC framework originally developed at Facebook that generates cross-language bindings from a single interface definition file.

A powerful high-level language for designing and documenting APIs that allows software engineers to easily collaborate and create efficient APIs.

Open-source, self-hostable automation platform with a no-code visual builder and hundreds of connectors ("pieces"), positioned as a Zapier alternative.

Lightweight, Java-centric BPMN engine that efficiently executes business workflows with a focus on simplicity.

An open-source data plane for agentic AI connectivity, providing security, observability, and governance for agent-to-tool (MCP) and agent-to-agent (A2A) communication.

Flexible, open-source data integration platform that builds ELT pipelines to move data from diverse sources to modern destinations.

Provides comprehensive lifecycle management, enabling rapid digital transformation and robust compliance across multi-cloud environments.

High-throughput Kafka service with seamless Alibaba Cloud integration for real-time data processing.

How do we combine the results of individual, but related messages so that they can be processed as a whole?

How can API providers reduce the effort for maintaining an entire API or its parts (such as endpoints, operations, or message representations) with guaranteed service quality levels?

Abstracts service capabilities for improved flexibility.

Abstracts service context for improved flexibility.

Separates sub-controllers from the main controller to improve reusability and maintainability.

Add a layer to isolate and transform data between systems.