DEV Community

floworkos
floworkos

Posted on

Coordinating Multiple AI Agents Into One Powerful System

#ai #agents #automation #productivity

Orchestrating Multiple AI Agents Into One Powerful System

Many hands make light work. A single large AI agent trying to be everything—analyst, summarizer, researcher, auditor—often ends up mediocre at all of them. The better way is agent groups: small teams of specialists that each handle one focused job, then a synthesizer stitches their answers together into one coherent result.

Why Team-Based Agents Win

A colony of ants outperforms one smart ant. Each team member owns a narrow scope:

  • One agent researches the topic.
  • One agent checks facts.
  • One agent writes clean prose.
  • A synthesizer blends them into a final answer.

This is multi-agent orchestration done simply. It mirrors how human teams work—parallel research, parallel review, then one editor unifies the result. Flowork's agent groups give you that pattern built in.

Creating and Managing a Group

An agent group starts with:

  1. An ID and Name — identify the team uniquely.
  2. A Members list — the small, sharp specialists you want on the team. Each agent can only join one group at a time.
  3. A Synthesizer — one agent that reads everyone's answers and combines them (or you can choose "none").
  4. A Task — the one job the team tackles.

Build it all in the UI: type the ID and name, tick the agents you want, pick a synthesizer, describe what the team should do, and hit Save. The group appears as a card and is ready to run.

How It Runs: The Internal Bus

When you task the group, here's what happens:

  • The group fans out the task to each member over the internal "loket bus" — each agent gets a copy of the same request.
  • Each member works in parallel on its piece.
  • Answers come back.
  • The synthesizer collects them and weaves them into one result.

No agent waits for the others; it's parallel from the start. The result is faster and sharper than one big agent grinding alone.

For Developers: Customizing Your Orchestration

The no-code path is perfectly fine—create, assign, synthesize, save. But if you need custom orchestration (phased tasks, role-based routing, branching logic), Flowork gives you the foundation:

A group is actually an agent built from a template—a coordinator whose handle_message routes the task to members via call(cap, args). For richer control, start from templates/group-template/ (simple) or templates/investment-group/ (a full example with phases and roles). Edit main.go to define your orchestration, then compile like any agent:

GOOS=wasip1 GOARCH=wasm go build -o agent.wasm .
Enter fullscreen mode Exit fullscreen mode

Your members are ordinary agents—no special wiring needed. A great group is really about wiring together small, sharp specialists. Let each agent do one thing excellently, and let the architecture handle the handoff.

Why Agent Groups Belong in Your System

  • Clarity — each agent has one job; the code and behavior stay readable.
  • Resilience — if one agent stumbles, the others still run; the synthesizer can note the gap.
  • Scalability — add a new specialist without rewriting the core.
  • Real-world sync — this is how human teams actually work, so the architecture mirrors your mental model.

A well-designed agent group is more reliable and understandable than a bloated monolith. Start simple—no code, just members and a task—and upgrade to custom orchestration when your use case needs it.

Flowork is open source — both products:

Top comments (0)