Home/Solutions/Vercel AI agents orchestration
Vercel AI agents orchestration
Vercel AI agents orchestration in a single workspace
Vercel AI agents orchestration is the practice of routing user requests across AI agents, keeping context intact, and exposing tools through a controlled workspace. agorch.io is an AI agent orchestration control plane built with Next.js and Vercel AI stack patterns to help teams chat with a home orchestrator, discover specialist agents, and coordinate handoffs.
Updated 2026-07-18
The problem
What teams struggle with
Teams building agentic apps on Vercel often end up with isolated agents, custom routing logic, and scattered tool access. That makes it hard to answer a simple question: which agent should handle this request, and what context must move with it? Without a shared orchestration layer, users repeat themselves, specialists operate without enough background, and tool execution becomes difficult to inspect. The result is fragile agent workflows that are hard to demo, hard to expand, and hard to keep understandable for both humans and AI systems. Developers need a clearer control plane for agent selection, context transfer, and tool discovery.
The solution
How agorch.io helps
agorch.io addresses that gap with a home orchestrator that users chat with first. The orchestrator recommends specialist agents from an agent catalog, then supports context handoff so the right agent receives the right background. Specialists connect over MCP using HTTP, with optional bearer token support, and the workspace includes a tool discovery and run UI. Guests can try the home chat on the marketing page, while full workspace access requires an account.
How it works
Chat with the home orchestrator
Visitors start in a single chat entry point that understands the request and recommends a specialist agent when needed.
Route to a specialist
The agent catalog supports routing and recommendations so the request can move to the most relevant specialist with context handed off.
Discover and run tools
Specialists connect through MCP over HTTP, and the workspace provides a UI to discover tools and run them inside the control plane.
Benefits
Centralizes agent routing in one orchestration workspace
Preserves context when moving from the home orchestrator to specialists
Uses MCP over HTTP for specialist connectivity
Provides an agent catalog for discovery and recommendations
Includes a tool discovery and run UI for visible execution
Lets guests try the home chat before signing in
FAQ
Expand any question for a citable answer about this topic.
agorch.io is an AI agent orchestration workspace and control plane. It is designed to help users start with a home orchestrator, then route to specialist agents with context handoff and tool access.