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Heym
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#5960 Radar 33

Visual, no-code platform for building AI workflows with multi-agent orchestration.

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Product memo

Developers and builders use Heym to automate AI workflows visually, without code. It provides a canvas for multi-agent orchestration and RAG pipelines, deploying directly to user infrastructure. This approach offers transparency and data control, attracting builders who prioritize sovereignty and customization over managed SaaS products.

For who

Developers and builders creating AI workflows

Solves what

Visual, no-code AI workflow automation with multi-agent orchestration and RAG

  • Visual drag-and-drop canvas
  • Multi-agent orchestration
  • Built-in RAG pipelines

In their own words

Build AI Workflow Automations Without Writing Code

Visual canvas, multi-agent orchestration, RAG pipelines, and MCP support. The first truly AI-native workflow automation platform.

Commercial cues

Pricing snapshot contact only with free tier

Model

contact only

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Heym offers a free tier for self-hosting, with source-available access. Enterprise licensing is available for custom commercial redistribution.

Key Tactics
  • A free tier encourages adoption and community contribution.
  • Source-available code builds trust and allows deep customization.
  • Enterprise handles custom requirements.

Operator context

Operating setup

Team

Indie / lean

LLM classification

Founded

Apr 2026

HQ

Germany

Platform

Web app

Audience

Developers

Market demand

Heym keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Niche Specialist
Stage
Bootstrapped Lean
Effort
Small Team
About Heym Expand

Heym offers a visual, no-code platform for developers and builders to automate complex AI workflows. It focuses on multi-agent orchestration and RAG pipelines, providing a source-available, self-hosted product.

This appeals to users who prioritize data control and customization, allowing them to deploy AI automation directly on their own infrastructure. The platform's design provides a clear alternative to managed SaaS, emphasizing transparency and extensibility for those building advanced AI applications.