This hub covers AI agent platforms end to end — orchestration patterns, agent architecture, comparing enterprise AI agent platforms, and exposing existing integrations and connectors as MCP servers so agents can call them safely.
How AI orchestration coordinates agents, models, and tools into one governed system.
The 3 core agent orchestration patterns — sequential, orchestrator, and collaborative — and how to build reliable multi-agent workflows.
Compare the top enterprise AI platforms of 2026 and learn what to look for — governance, integration, orchestration, and security — before you choose.
Core components, a repeatable six-step process, and the integration layer that decides whether an agent ships.
What MCP server integration is, how the protocol works, how it differs from a REST API, and how to expose your own integrations as MCP servers.
Tools, transports, session modes, testing with the MCP Inspector, and securing an MCP server for production.
A head-to-head comparison of the leading enterprise AI agent platforms.
A reference architecture for deploying AI agents safely alongside existing integration infrastructure.
Patterns for coordinating many agents working together without the whole system becoming unmanageable.
Wrapping an existing REST API so an AI agent can discover and call it as an MCP tool.
Using the MCP Inspector to verify tools, prompts, and resources before putting a server in front of an agent.
What to look for in a platform for building and shipping enterprise AI agents.
Explore the WSO2 Integration Platform
WSO2 Integration Platform is a comprehensive, open-source platform for connecting applications, services, data, and AI agents at enterprise scale.
The open, universal platform for integrating every application, service, and AI agent at scale. 100% open source.