Resources

Architecture diagrams for agentic AI

A vetted, editable reference library of the agent topologies we ship in production — orchestration, action layers, retrieval, human gates, and private deployment — so you can design with patterns that already hold up.

  • Orchestrator & worker topologies
  • Governed action-layer patterns
  • RAG & retrieval data flows
  • Private / VPC deployment maps
24
annotated reference diagrams
5
topology families covered
SVG
editable vector + PNG exports
100+
production builds behind the patterns
// what's inside

The patterns in the library

Each diagram is annotated with where state lives, where humans intervene, and what gets logged — the parts most reference architectures leave out.

// how to use it

From diagram to deployment

The library is a starting point, not a finished spec. Here's the path most teams take.

01

Pick a pattern

Match your workflow to a topology family — one agent, a fleet, or a retrieval-heavy flow.

02

Mark the swap points

Drop in your models, frameworks, and systems at the annotated boundaries.

03

Add your perimeter

Overlay your security, approval, and data-residency constraints onto the deployment map.

04

Pressure-test it

Bring the redrawn diagram to a session and we'll find the gaps before you build.

// drawn for your perimeter

The diagram is only honest if the boundaries are

Most reference architectures float in a vacuum — no perimeter, no approval gates, no record of who can do what. Ours draw the boundaries first: which steps run inside your VPC, which calls require a human, and which actions get logged.

That's deliberate. An agent topology that ignores governance looks clean on a slide and falls apart in production. Every diagram in the library shows the action layer, the human checkpoints, and the lineage trail as first-class parts of the design.

  • Perimeter drawn before the agents
  • Approval gates on high-risk actions
  • Decision lineage as a design element

A whiteboard sketch vs. a reference diagram

Why a vetted pattern saves you a re-architecture three months in.

A whiteboard sketchA library reference diagram
BoundariesImpliedPerimeter and trust zones drawn in
StateHand-wavedWhere memory and context live, labeled
OversightAdded laterApproval gates and lineage built in
ReuseLost after the meetingEditable source you keep and adapt

More from the reference shelf

Pair the diagrams with the briefs, models, and people behind them.

Frequently asked questions

What's actually in the library?

Editable reference diagrams for the patterns we ship most: single-agent loops, orchestrator–worker fleets, RAG retrieval paths, the governed action layer, and private/VPC deployment topologies — each annotated with where state, approvals, and logging live.

What format do the diagrams come in?

Vector source (draw.io / Excalidraw / Mermaid) plus exported SVG and PNG, so you can drop them into an RFC, a board deck, or your own architecture docs and edit the parts that don't match your stack.

Are these tied to a specific model or framework?

No. The topologies are framework-agnostic — they hold whether you orchestrate with LangGraph, CrewAI, AutoGen, Temporal, or something custom, and whether the model is Anthropic, OpenAI, or open-source. We annotate the swap points.

Can you adapt a diagram to our environment?

Yes. Bring your systems and constraints to a working session and we'll redraw the relevant pattern against your perimeter, data flows, and approval requirements — and scope what it takes to build.

Want a diagram drawn against your stack?

Bring a workflow and your constraints. We'll redraw the right pattern for your environment and scope the build.