Tool Stack
Multi-Agent Orchestration Stack
Tooling for coordinating several specialised agents with reliable handoffs.
1 min readupdated 2026-08-01
/ quick answer
Run supervisor, pipeline or swarm topologies without losing traceability. Tooling for coordinating several specialised agents with reliable handoffs.
Tooling for coordinating several specialised agents with reliable handoffs. Run supervisor, pipeline or swarm topologies without losing traceability. The stack combines LangGraph (state graph and checkpoints), CrewAI (role-based teams), Temporal or Inngest (durable execution), Langfuse (per-agent traces), Redis (shared scratchpad). This tool stack node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Purpose
Run supervisor, pipeline or swarm topologies without losing traceability.
Tools Included
- LangGraph (state graph and checkpoints)
- CrewAI (role-based teams)
- Temporal or Inngest (durable execution)
- Langfuse (per-agent traces)
- Redis (shared scratchpad)
Workflow Supported
Alternatives
- 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.
↳ connected nodes
Workflow↳ linked
Build a Multi-Agent Content Team
Researcher, writer and editor agents under a supervisor, producing publishable drafts.
Workflow↳ linked
Design Agent-to-Human Escalation
A handoff contract that gives humans everything they need in one screen.
Dictionary↳ linked
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.
Dictionary↳ linked
Agent Handoff
Agent handoff is the controlled transfer of a task — with its context — from one agent to another agent or to a human.
Comparison↳ linked
Single Agent vs Multi-Agent System
One well-equipped agent beats a crowd for most jobs; multi-agent wins on genuinely separable, parallel work.
Comparison↳ linked
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.
Prompt↳ linked
Multi-Agent Role Definition Prompt
Generates crisp role prompts and handoff contracts for a team of agents.
Use Case↳ linked
Ecommerce Team Runs a Multi-Agent Catalog Pipeline
Three agents enrich, write and QA 12,000 product listings.
Tool Stack↳ linked
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.