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What is Flow-Like?

Flow-Like is a visual workflow platform for connecting data, services, and user interfaces through typed workflows. Build and inspect the same logic as a visual graph or as FlowScript.

Flow-Like Studio showing a support-workflow prototype with connected nodes, grouped steps, and notes on the canvas

A support-workflow prototype in Studio, organized into request, draft, and review stages.

Why Flow-Like?

Section titled “Why Flow-Like?”

Visual First

Build workflows by connecting nodes visually. No code required to get started, but fully extensible when you need it.

Type-Safe

Typed pins let the editor reject incompatible connections before a run. Runtime validation and representative tests still matter for actual data.

Rust Performance

The runtime is built in Rust for predictable execution, native performance, and extensibility.

Run Anywhere

Build locally, run on the desktop, or connect the same Flow model to a hosted or self-managed deployment.

Core Concepts

Section titled “Core Concepts”

Flows

Section titled “Flows”

A Flow is a directed graph of nodes. Execution connections control which steps run, and data connections supply values. Run logs record the available evidence according to the Flow’s logging configuration.

Nodes

Section titled “Nodes”

Nodes are the building blocks. Their pins can carry input data, output data, or execution control. Pure nodes have data pins and run when another node needs their output; event nodes start execution. See Nodes.

Type Safety

Section titled “Type Safety”

Every pin has a type. Flow-Like checks compatibility when you connect pins. This catches wiring mistakes; it does not guarantee that an API will respond or that an input value meets every business rule.

Local-First

Section titled “Local-First”

Flow-Like Desktop is designed to work offline. Start on your laptop, then connect to a hosted or self-managed environment when collaboration and remote execution are useful.

What Can You Build?

Section titled “What Can You Build?”
  • ETL Pipelines: Transform and move data between systems
  • AI Agents: Embed LLMs, vector search, and reasoning models
  • Automations: React to events, schedule tasks, orchestrate services
  • Data Processing: Parse, validate, enrich, and route data
  • Custom Apps: Build interfaces on top of your flows

Next Steps

Section titled “Next Steps”
Download Flow-Like Get the desktop app for Windows, macOS, or Linux
Your First Flow Connect two nodes and verify your first run
Explore Nodes See all available nodes
Self-Hosting Run Flow-Like on your infrastructure