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Multi-Agent Orchestration

Multi-agent orchestration: supervisors, sub-agents, swarms, and graphs, and how AWS Strands, Microsoft Agent Framework, and Google ADK coordinate agents. 2026.

Multi-agent orchestration is the coordination of many AI agents working toward one goal: routing tasks between a supervisor and sub-agents, handing off work, running agents in parallel, and combining their outputs. A single agent can reason and act; orchestration is what turns several of them into a team that divides labor and checks each other.

It is the coordination layer that sits on top of an agent harness and rides the A2A protocol for cross-agent calls and the Model Context Protocol for tool access.

How the big three orchestrate

Each major platform shipped an open-source orchestration SDK in 2026:

  • AWS Strands Agents SDK (Apache 2.0, v1.0 July 2025) offers Agents-as-Tools, Handoffs, Swarms, and Graphs, with session state to S3 and A2A support. Bedrock added supervisor + sub-agent multi-agent collaboration as a managed feature.
  • Microsoft Agent Framework (v1.0 GA April 2026) replaced both AutoGen and Semantic Kernel with graph-based Workflows that support checkpointing and human-in-the-loop, plus the Magentic-One coordination patterns.
  • Google ADK (Agent Development Kit) is a workflow runtime with a Task API that deploys to Agent Engine, Cloud Run, GKE, or local.

The common shape across all three: a supervisor that decomposes a goal, sub-agents that own pieces, and a way to run them concurrently and merge results.

How Mumega orchestrates

Mumega runs a colony — a coordinating prefrontal agent, specialist workers, and per-tenant brain daemons — over a Redis bus with scoped tokens. The orchestration is bus-native: a worker’s output lands in git and on the bus whether or not the parent session still exists, so delegated work survives its parent. That, plus a sovereign agent substrate, is what lets a tenant run a whole team of agents on their own box.

Sources

Last updated: Jun 5, 2026