What Is A Multi-Agent System?
Multi-agent system (agent-to-agent): A multi-agent system is a setup where several AI agents, each with its own role, work together on a larger task and pass work to each other; that passing of messages and work between them is called agent-to-agent communication. It works like a small team where each member owns one part.
Why Split Work Between Agents
One agent asked to do everything gets muddled. Splitting the job gives each agent a narrow role, its own instructions and only the access it needs. For a remodeling company: an intake agent reads new inquiries, a scheduling agent books the site visit, and a billing agent drafts the deposit invoice.
What A Handoff Looks Like
The intake agent finishes its part and passes a note: “New lead, Sarah Chen, kitchen remodel, wants a site visit next week, budget is in her email.” The scheduling agent picks it up from there. Good systems keep these notes readable by people, so you can see who did what.
The Open Standard Behind It
Google started an open standard called Agent2Agent (A2A) so agents built by different companies can talk to each other, then gave it to the Linux Foundation. Its steering committee includes AWS, Cisco, Google, IBM, Microsoft, Salesforce, SAP and ServiceNow. You don’t need to know it to use agents; it’s how vendors make theirs compatible.
What Goes Wrong
IBM lists the usual problems: agents that misread each other, actions that conflict, and one error spreading down the chain. The fixes are the same as with people: clear roles, visible handoffs and a person who can step in.
Worth Remembering
- Several agents with narrow roles beat one agent doing everything.
- Agent-to-agent handoffs should be readable by people.
- Agent2Agent (A2A) is an open standard for agents from different makers.
- Start with one agent; add another when a job clearly splits.
In Octopus Prime
In Octopus Prime, agents hand work to each other in a project’s Agent To Agent channel, and you can read every handoff. Agents answer in shared channels only when you @mention them by full name, and a task can have an agent as its owner, so you always see who holds each piece.
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Questions
Do I need more than one agent?
Not to start. One agent on one job is easier to check. Add a second when the work clearly splits into separate roles.
Can agents from different companies work together?
More and more, through open standards like Agent2Agent. Inside one product it’s simpler, because the agents share the same app.
Who decides when agents disagree?
You should. Set it up so agents raise conflicts with a person instead of settling them on their own.
Is a multi-agent system the same as agentic AI?
Related. Agentic AI is the broad idea of AI that plans and acts; a multi-agent system is one way to build it, with several agents sharing the work.
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