Multi-Agent Systems | HyperKit.ai

Definition

Multi-agent systems involve multiple AI agents working together, each with specialized roles or capabilities, to solve complex problems. Agents can collaborate, debate, delegate tasks, and critique each other's work, often achieving better results than a single agent.

Multi-agent architectures mirror human teams, with specialists contributing their expertise to shared goals.

Key Concepts

Specialization: Each agent focuses on specific tasks or domains
Communication: Agents exchange messages and information
Orchestration: Coordinating agents to achieve shared goals
Emergent behavior: System capabilities beyond individual agents

Examples

Patterns

Multi-Agent Architectures

MULTI-AGENT PATTERNS:

1. HIERARCHICAL (Manager-Worker)
          ┌───────────┐
          │  Manager  │
          │   Agent   │
          └─────┬─────┘
                │ delegates
      ┌─────────┼─────────┐
      ↓         ↓         ↓
   ┌─────┐  ┌─────┐  ┌─────┐
   │Code │  │Test │  │ Doc │
   │Agent│  │Agent│  │Agent│
   └─────┘  └─────┘  └─────┘

2. DEBATE (Adversarial)
   ┌────────────┐   ┌────────────┐
   │  Agent A   │   │  Agent B   │
   │ (Pro side) │ ↔ │(Con side)  │
   └────────────┘   └────────────┘
          │               │
          └───────┬───────┘
                  ↓
          ┌────────────┐
          │   Judge    │
          │   Agent    │
          └────────────┘

3. PEER COLLABORATION
   ┌─────┐     ┌─────┐
   │  A  │ ←─→ │  B  │
   └──┬──┘     └──┬──┘
      │    ╲  ╱   │
      │     ╲╱    │
      │     ╱╲    │
      │    ╱  ╲   │
   ┌──┴──┐     ┌──┴──┐
   │  C  │ ←─→ │  D  │
   └─────┘     └─────┘
   All agents communicate freely

4. PIPELINE (Sequential)
   ┌────┐   ┌────┐   ┌────┐   ┌────┐
   │ A  │ → │ B  │ → │ C  │ → │ D  │
   └────┘   └────┘   └────┘   └────┘
   Each agent processes and passes on

Example

Software Development Team

MULTI-AGENT SOFTWARE TEAM:

┌─────────────────────────────────────────────┐
│           PROJECT MANAGER AGENT             │
│  - Receives requirements                    │
│  - Creates plan                             │
│  - Delegates to specialists                 │
│  - Integrates results                       │
└─────────────────┬───────────────────────────┘
                  │
    ┌─────────────┼─────────────┐
    ↓             ↓             ↓
┌─────────┐  ┌─────────┐  ┌─────────┐
│ CODER   │  │ TESTER  │  │REVIEWER │
│ Agent   │  │ Agent   │  │ Agent   │
├─────────┤  ├─────────┤  ├─────────┤
│Write    │  │Write    │  │Check    │
│code     │  │tests    │  │quality  │
│Debug    │  │Find bugs│  │Suggest  │
│Refactor │  │Coverage │  │improve  │
└────┬────┘  └────┬────┘  └────┬────┘
     │            │            │
     └────────────┼────────────┘
                  ↓
          ┌─────────────┐
          │ Integration │
          │   Agent     │
          └─────────────┘

WORKFLOW:
1. PM receives: "Add user authentication"
2. PM creates plan, delegates tasks
3. Coder writes auth module
4. Tester writes test cases
5. Reviewer checks code quality
6. If issues found → back to Coder
7. Integration Agent merges code
8. PM delivers final result

MESSAGE EXAMPLE:
PM → Coder: "Implement JWT authentication
             for the /api/users endpoint"
Coder → PM: "Done. Code ready for review."
PM → Reviewer: "Review auth implementation"
Reviewer → PM: "Found SQL injection risk in
               line 45. Needs fix."
PM → Coder: "Fix SQL injection in line 45"

Interactive Exercise

✎

Design Agent Team

Design a multi-agent system for creating marketing content. What agents would you include? How would they interact?

Pro Tips

Clear role definitions prevent overlap and confusion
Debate/critique agents improve output quality
Too many agents adds latency and cost—start minimal
Shared memory/context enables effective collaboration

Definition

Key Concepts

Examples

Interactive Exercise

Related Terms