Visual agent workflows
Build agent workflows you can actually debug.
GraphVM Studio is a canvas for LLM-powered automations. Wire the steps, validate before you run, then step through the live run frame by frame — with 600+ integrations already in the library.
No credit card. Self-host it or run the containers locally.
A graph in the editor: one trigger, two parallel steps, one place they land.
- 600+
- integrations in the node library
- 20+
- starter graphs to fork
- 100%
- of runs persisted with logs
- Self-host
- or run it as a container
Everything the automation needs, in one place
The editor, the connectors, the runs, and the debugger are one product — so a graph you draw is the same artifact you run, watch, and fix.
Visual graph editor
Drag nodes onto a canvas and wire their ports. Loops, branches, and sub-graphs nest, so a complex automation stays one readable picture instead of a thousand lines of glue.
600+ integrations, already typed
Slack, Google, AWS, databases, CRMs, scrapers — each registered as a node with its own run parameters, input and output types, and credential slots.
Describe it, then edit it
Say what the automation should do and get a proposed graph on the canvas. It arrives as ordinary nodes you can rewire — not a black box you have to re-prompt.
A real step debugger
Set breakpoints, step frame by frame, and inspect the memory tree at every scope. When an agent does something strange you can watch the moment it happened.
Every run, kept
Runs persist with their logs, outputs, timings, and status — live-tailed while they execute and still there tomorrow when someone asks what happened.
Workspaces, schedules, audit
Separate tenants, team rosters and roles, scheduled and triggered runs, and an audit log of every change the console makes.
Why teams move their automations here
Ship the automation this afternoon
A script, a queue, a cron entry, and a week of plumbing before the first useful run.
Fork a starter graph, swap the connectors for yours, and run it. The plumbing — retries, run records, credentials — is what the platform already is.
Stop guessing why the agent did that
A prompt goes in, something odd comes out, and the only evidence is a log line.
Every step is a node with recorded inputs and outputs. Set a breakpoint, replay the run, and read the frame where it went wrong.
Catch the break before it runs
Type errors and dangling references surface in production, on someone else's data.
Validation runs over the graph as you edit: unreachable nodes, mismatched port types, and missing configuration are flagged on the canvas.
Keep it on your infrastructure
Another SaaS holding your credentials and your customers' data.
GraphVM ships as containers with Postgres behind it. Run it in your own cluster, point it at your own model providers, and keep the data where it already lives.
From idea to a running graph in three moves
- 1
Design
Start from a blank canvas, a starter graph, or a description. Wire the nodes your automation needs.
- 2
Validate
The editor checks topology, port types, and node configuration, and shows what is still missing.
- 3
Run and watch
Trigger it by hand, on a schedule, or from a webhook — then follow the live run, node by node.
Questions people ask first
+Do I need to write code?
No. Graphs are built by wiring nodes and filling in their configuration. Where you do want code, expression and transform nodes take it — but nothing about the base workflow requires it.
+Which model providers can I use?
Model access is configured per workspace, so you point GraphVM at the providers you already pay for and manage the keys in one place rather than in each automation.
+Can I self-host it?
Yes. The agent and console ship as container images backed by Postgres, so the whole thing runs inside your own network with no data leaving it.
+How do runs get started?
Manually from the editor, on a schedule from the run calendar, or from an inbound webhook. Every route produces the same recorded run you can open afterwards.
Draw your first graph today
Create a workspace and start from a blank canvas or one of the starter graphs. You can always move it to your own infrastructure later.