Multi-agent designer
Design your
multi-agent teams
in minutes.
Envelope designs your multi-agent workflow. Describe what you need, get a complete sub-agent design — roles, skills, model, tools, and handoffs — and export it.
Designs agent teams around the tools you already use
Slack
HubSpot
Notion
Stripe
Jira
How it works
From idea to spec in minutes.
Describe
Tell Envelope what you want to automate, or enter your company URL and it'll suggest ideas by department. No blank page.
Design
Envelope designs the sub-agent structure — roles, skills, model, tools, and reporting lines. Refine it in conversation until it's right.
Export or share
Download the spec, share a link with your team, or hand it to IT with everything they need to implement it.
The output
A spec, not a chatlog.
Envelope doesn't give you a wall of text. It gives you a structured team definition — something you can read, share, store in Git, and hand to an engineer who knows exactly what to build.
Know exactly what each agent owns before you start building — no scope creep, no 'I thought that handled it.'
Every integration requirement surfaces upfront, so there are no last-minute 'we need API access' surprises when you hit deploy.
Define who hands off to whom so workflows actually complete — not just a list of agents with no coordination logic.
Design human-in-the-loop checkpoints into the workflow from the start — so the right person reviews, approves, or redirects before the next agent runs.
Export a spec your team can store in Git and implement directly — no translating your brief, no lock-in.
Support triage team
Export Share
ZendeskSlack
Research Agent
Reports to Triage Agent
Notion
GitHub
Escalation Agent
Reports to Triage Agent
Slack
Gmail
Why not just use ChatGPT?
Guardrails, not a blank box.
A general chat tool gives you a blank canvas — useful if you know exactly what to ask, frustrating if you don't. Envelope is opinionated: it knows about roles, tools, team structure, and hand-offs. You fill in what you want; it handles the design.
Try the designerFor IT & engineering
A handoff that actually helps.
Every team design exports as an open JSON schema — documented, portable, and storable in Git. IT gets a clear spec, not a vague brief. If they want zero-config deployment, there's an MCP endpoint too.
Open standard · Apache 2.0
Your team definition belongs to you.
Envelope teams are defined in an open JSON schema — portable, versionable, and readable by any conforming runtime. Validate in your IDE. Store in Git. No lock-in.
Frequently asked questions
What is a multi-agent designer?
Envelope is the multi-agent designer: a tool that lets you describe your AI workflow in natural language and get a complete sub-agent design — roles, skills, model, tools, and handoffs — you can export without writing code.
How is Envelope different from ChatGPT or Claude?
ChatGPT and Claude answer questions. Envelope designs teams. You describe what you want a multi-agent workflow to do; Envelope structures it into a complete design you can export and implement.
Do I need to know how to code to use Envelope?
No. Envelope uses natural language. You describe your team, see it take shape, and export the design. Free to start, no account needed.
What does Envelope output?
Envelope exports a structured JSON document — the team definition — that describes every agent's role, tool access, and reporting relationship. It follows an open schema (Apache 2.0) and can be stored in Git, shared via link, or handed to an engineering team for implementation.
Is Envelope free?
Yes. Designing is free and no account is needed to get started. Paid plans are available for teams who need collaboration, version history, and org-wide sharing.
How is Envelope different from workflow automation tools like n8n, Make, or Zapier?
Workflow automation tools like n8n, Make, and Zapier connect apps and run sequences of steps. Envelope works at the design layer before any of that: it helps you structure a multi-agent AI workflow — deciding which agents exist, what each one is responsible for, what tools they can use, and how they hand work to each other. The output is a structured design document your team can implement in whichever execution environment they choose.