Multi-Agent Systems

Guide to building systems with multiple coordinated agents.

Overview

Multi-agent systems enable:

• Specialization — Different agents for different tasks
• Parallelism — Concurrent processing
• Collaboration — Agents working together
• Robustness — Fallback and redundancy

Coordination Patterns

Sequential Pipeline

#![allow(unused)]
fn main() {
use mofa_sdk::coordination::Sequential;

let pipeline = Sequential::new()
    .add_step(research_agent)
    .add_step(analysis_agent)
    .add_step(writer_agent);

let result = pipeline.execute(input).await?;
}

Parallel Execution

#![allow(unused)]
fn main() {
use mofa_sdk::coordination::Parallel;

let parallel = Parallel::new()
    .with_agents(vec![agent_a, agent_b, agent_c])
    .with_aggregation(Aggregation::TakeBest);

let results = parallel.execute(input).await?;
}

Consensus

#![allow(unused)]
fn main() {
use mofa_sdk::coordination::Consensus;

let consensus = Consensus::new()
    .with_agents(vec![expert_a, expert_b, expert_c])
    .with_threshold(0.6);

let decision = consensus.decide(&proposal).await?;
}

Debate

#![allow(unused)]
fn main() {
use mofa_sdk::coordination::Debate;

let debate = Debate::new()
    .with_proposer(pro_agent)
    .with_opponent(con_agent)
    .with_judge(judge_agent);

let result = debate.debide(&topic).await?;
}

Best Practices

1. Clear Responsibilities — Each agent should have one job
2. Well-Defined Interfaces — Use consistent input/output types
3. Error Handling — Plan for agent failures
4. Timeouts — Set appropriate timeouts
5. Logging — Log inter-agent communication

See Also

• Workflows — Workflow concepts
• Examples — Examples