Flows

Compose multi-step AI workflows, without the boilerplate

Build, run and debug agentic workflows on a visual graph — backed by production-ready orchestration under the hood.

Agent orchestration, unlocked

Serious orchestration with whiteboard ergonomics

All the primitives you'd want in a production agent stack — without the weekend lost to glue code.

Visual graph builder

Drag reusable nodes onto the canvas — RAG, search, chat, tools — and connect them with typed edges.

Human-in-the-loop

Pause for approvals, edits and overrides mid-run, without losing state.

Run history & debugging

Every run is saved, replayable and inspectable step-by-step.

Plug into every LLM your team uses
OpenAI
Anthropic
Google
Perplexity
Microsoft Copilot
Meta
Inside Onsomble Flows

Everything you need to ship an agent to production

Flows is the layer between 'I have an idea' and 'it's running reliably in production.'

Visual graph builder

Draw the workflow, ship the automation

Onsomble Flows is built on a production LangGraph engine, but you never have to touch its internals. Sketch your agent on a canvas and it just runs.

  • Drag-and-drop canvas with typed connectors
  • Live preview of every node's input and output
  • Version and fork any flow instantly

Flows canvas

Mockup preview

flows-canvas

Reusable nodes

Every agent primitive you need, built in

A growing library of first-class nodes covers retrieval, chat, tool calls and classification — plus escape hatches for anything custom.

  • RAG retrieval over your sources
  • Web search, chat and classifier nodes
  • Custom Python and HTTP nodes

Node library

Mockup preview

flows-nodes

Human-in-the-loop

Keep humans in control where it counts

Add approval checkpoints to any step. Reviewers can accept, reject or edit mid-run, and the flow picks up exactly where it paused.

  • Pause for review and approval
  • Edit intermediate outputs mid-run
  • Resume with one click from any checkpoint

Human approval checkpoint

Mockup preview

flows-hitl

Run history & debugging

See exactly what happened, every time

Every run is saved with full state, cost and latency traces — so you can replay, fork and debug any execution long after the fact.

  • Every run saved with full state
  • Per-step cost, latency and token usage
  • Replay and fork any prior run

Run history & traces

Mockup preview

flows-runs
How it works

From idea to running automation in minutes

No scaffolding. No YAML. No rebuilding your infra every time you iterate.

Draft

Drag nodes onto the canvas and connect them to describe your flow end to end.

Run

Test the flow on real inputs with live tracing, step-by-step state and per-node cost.

Ship

Publish the flow as an API, schedule it, or embed it in your app with one click.

Compare

Onsomble Flows vs. rolling your own

What building an agent pipeline looks like with Onsomble — and without.

Capability

Onsomble Flows

Python + LangChain glue

Visual graph editor
Human-in-the-loop checkpoints
Reusable node library
RAG, search, chat, tools
Build from scratch
Run history & observability
Deploy as API
One click
DIY infrastructure
Grounded on your notebooks
Time to first working flow
Minutes
Days of glue code
Flows replaced a mess of Python scripts and LangChain boilerplate with a graph our whole team can read. The human approval step alone was worth the switch.
SC

Sophie Chen

Lead AI Engineer, Northwind Labs

Ship your first AI workflow this afternoon

Open the Flows canvas free — no credit card.