Introduction

Introduction

Canopy is a visual operational architecture workspace. Draw a system before you build it, or point it at a repo to map a stack you've shipped - then operate it with spend, metadata, and AI exports. Your nodes, edges, and spend stay first-class, machine-readable data: one map is at once an interactive canvas, a cost rollup, Markdown in sync, and your agents can read.

Not just code architecture

A "system" isn't only a tech stack - map any operational workflow too: a marketing pipeline (HubSpot → Zapier → Mailchimp → GA4), RevOps, or internal automation. The library covers CRM, marketing, and automation tools, and maps tag as Marketing or Operations.

The ideal flow

github.com/acme-corp/platformscanning…

Detected services

Next.jsfrontend
Postgresdatabase
Stripepayments
OpenAIai
Vercelhosting
01

Capture

Point Canopy at a GitHub repo and it detects every service automatically.

Who is Canopy for

If you can describe how the pieces connect - a tech stack or an operational workflow - Canopy keeps it as living, structured data you own.

Developers & platform teams

Map your stack from a repo, track cloud spend, and export a CLAUDE.md / AGENTS.md your agents can read.

Marketing & RevOps

Document the pipeline - HubSpot → Zapier → Mailchimp → GA4 - and see where leads, tools, and spend flow.

Ops & automation builders

Diagram internal automations and integrations so the whole team can see how work actually moves.

Founders & cross-functional teams

Keep one living picture of the whole operation - technical and business - as it grows.

What makes Canopy different

  • Guided input, not a blank canvas. Import a GitHub repo or pick from 200+ integrations.
  • Operational by default. Owner, SLA, status, and spend live on every node.
  • AI-native. Export CLAUDE.md / AGENTS.md and expose your map over MCP.
  • Always in sync. canopy.json ⇄ canvas - describe a system and Canopy renders it both ways.
  • Structured & yours. Every map is data you own - exportable and portable.

Where to next

to paste into any AI.

Ask ChatGPT about this page.

Ask Claude about this page.

Need help? Sign in to chat with support

Have ideas?

General inquiry? Email support.