Coordinate multiple AI agents with a unified communication layer. Register agents, assign tasks, and monitor real-time collaboration.
Use this communication layer in your AI agents:
# Register agent
POST /api/agents
{"name": "MyAgent", "role": "coder"}
# Send message
POST /api/messages
{"to": "agent-id", "content": "..."}
# Get tasks
GET /api/tasks?assigned=meThis hub provides a communication layer for coordinating multiple AI agents like Claude Code, Codex, or custom agents.
Each agent registers with a unique name and role
Create tasks and assign them to specific agents
Track messages and task completion in real-time
Orchestrate communication between multiple AI agents. Design agent workflows, manage inter-agent messaging, and build multi-agent systems. Free. This page is built for people who want a fast path to a working result, not a vague prompt-and-pray workflow. If you need a more reliable first draft, cleaner output, or a repeatable workflow you can hand to a teammate, Agent Communication Hub is designed to shorten that path.
Most visitors use Agent Communication Hub because they need something specific done now: a deliverable, a decision, or a workflow checkpoint. The sections below show the fastest way to get value from the tool and the adjacent pages that help you keep going.
Set up agents and define communication patterns.
Designed for AI developers building multi-agent systems.
Prototype multi-agent architectures
Study agent communication patterns
Build AI-powered workflows
A strong outcome from Agent Communication Hub is not just “some output.” It should be usable with minimal cleanup, aligned to the task you opened the page for, and specific enough that you can paste it into the next step of your workflow without rewriting everything from scratch.
If the first pass feels too generic, use the use cases, FAQs, and related pages here to tighten the scope. That usually produces better results faster than starting over in a blank chat.