car-multi 0.21.0

Multi-agent coordination patterns for Common Agent Runtime
Documentation

car-multi

Multi-agent coordination patterns for the Common Agent Runtime.

What it does

Provides coordination patterns for running multiple agents together: Swarm (parallel/sequential/debate), Pipeline (linear chain), Supervisor (review loop), Delegator (spawn specialists mid-run), SpawnSubtask (ephemeral tool-subset sub-agents), MapReduce (fan-out + reduce), Vote (majority wins), Fleet (independent missions), AdversarialReview (fresh-context verification), Tournament (pairwise ranking), and Advisor (bounded stronger-model guidance while the executor stays in control). Agents communicate via shared state, task enrichment, and async mailboxes.

All coordinations share a runtime-enforced CoordinationBudget (token/cost/agent caps; see budget.rs) and can run agents under per-agent state isolation (task_context) and filesystem workspace isolation (Swarm::with_workspaces, workspace.rs — an isolated directory or git worktree per parallel agent).

Usage

use car_multi::{Swarm, SwarmMode, AgentSpec, AgentRunner, SharedInfra};

let agents = vec![
    AgentSpec::new("researcher", "You find information."),
    AgentSpec::new("writer", "You write summaries."),
];
let swarm = Swarm::new(agents, SwarmMode::Sequential);
let result = swarm.run("Summarize recent news", &runner, &infra).await?;

Part of CAR -- see the main repo for full documentation.