Multi-Agent Orchestration Stack
Tooling for coordinating several specialised agents with reliable handoffs.
/ quick answer
Run supervisor, pipeline or swarm topologies without losing traceability. Tooling for coordinating several specialised agents with reliable handoffs.
- LangGraph (state graph and checkpoints)
- CrewAI (role-based teams)
- Temporal or Inngest (durable execution)
- Langfuse (per-agent traces)
- Redis (shared scratchpad)
- AutoGen
- OpenAI Swarm-style handoffs
/ frequently asked
What is the Multi-Agent Orchestration Stack stack for?
Run supervisor, pipeline or swarm topologies without losing traceability.
Which tools are in this stack?
LangGraph (state graph and checkpoints), CrewAI (role-based teams), Temporal or Inngest (durable execution), Langfuse (per-agent traces), Redis (shared scratchpad).
Are there alternatives to this stack?
Yes — AutoGen, OpenAI Swarm-style handoffs.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Multi-Agent System
A multi-agent system splits a job across several specialised AI agents that coordinate through a shared plan, message bus or orchestrator.
- →Agent Handoff
Agent handoff is the controlled transfer of a task — with its context — from one agent to another agent or to a human.
- →Agent-to-Agent Protocol (A2A)
An Agent-to-Agent (A2A) protocol defines the communication standards and rules that enable autonomous AI agents to interact and exchange information or services directly with each other without human intervention. This foundational concept is crucial for building complex, collaborative multi-agent systems.
- →AI Orchestration
Coordinating multiple AI models, tools and steps into a single reliable workflow.
Related workflows
Turn this into a repeatable process.
- →Build a Multi-Agent Content Team
Researcher, writer and editor agents under a supervisor, producing publishable drafts.
- →Design Agent-to-Human Escalation
A handoff contract that gives humans everything they need in one screen.
- →Automate Agent Task Delegation
This workflow automates the process of an initiating AI agent delegating a complex task to a specialized recipient AI agent using a standardized Agent-to-Agent (A2A) protocol, ensuring efficient task handoff and execution. It streamlines multi-agent collaboration for defined objectives.
- →Design an Agent Architecture Before Writing Code
A one-page design process that prevents the most expensive agent rebuilds.
Related tool stacks
The tools that run it in production.
- →Multi-Agent Orchestration Stack (CrewAI)
This stack outlines the essential components for deploying a robust multi-agent system using CrewAI, focusing on agent definition, tool integration, and monitoring for collaborative task execution.
- →Agent Architecture Stack
The minimum tooling to design, run and observe a production agent.
- →A2A Orchestration Stack
This stack comprises the essential tools and frameworks for designing, deploying, and managing Agent-to-Agent (A2A) communication protocols and multi-agent system orchestration. It provides the infrastructure for complex AI agent collaboration.
- →AI Employee Stack
Everything a role-owning agent needs: knowledge, tools, memory and reporting.
Related prompts
Reusable prompts for this job.
- →Multi-Agent Role Definition Prompt
Generates crisp role prompts and handoff contracts for a team of agents.
- →Agent Architecture Spec Prompt
Turns a fuzzy agent idea into a reviewable five-layer architecture spec.
Related use cases
How people apply it, and what came out.
- →Ecommerce Team Runs a Multi-Agent Catalog Pipeline
Three agents enrich, write and QA 12,000 product listings.
- →SaaS Cuts First-Response Time from 6h to 4min with an Agent
A 12-person SaaS shipped a tier-1 support agent and kept humans on exceptions only.
Comparisons & alternatives
Pick between the options.
- →Single Agent vs Multi-Agent System
One well-equipped agent beats a crowd for most jobs; multi-agent wins on genuinely separable, parallel work.
- →LangGraph vs CrewAI vs AI SDK for Agents
LangGraph for stateful control, CrewAI for fast role-based teams, AI SDK for shipping agents inside a product.