Heym is a source-available, self-hosted platform for visual AI workflow automation with multi-agent orchestration.
- for
- AI, platform, and automation teams that need on-premise workflow control
- pricing
- free
- license
- open source
Key features
- Visual drag-and-drop canvas — Design DAG workflows with nodes for triggers, LLMs, agents, logic and integrations.
- AI Assistant — Describe a workflow in plain English and the assistant generates the canvas instantly.
- Multi-agent orchestration — Nest agents up to five levels and run parallel branches for complex tasks.
- Built-in RAG — Semantic search using managed Qdrant vector stores or PostgreSQL pgvector.
- Human-in-the-Loop checkpoints — Add approval steps to pause automation for human review.
- Full observability — Trace execution, view span timelines and token counts for every run.
- Skills system — Create portable capability bundles that agents can reuse across workflows.
- Extensive integrations — Connect to OpenAI, Anthropic, Slack, Discord, Gmail, GitHub, Qdrant, Redis, RabbitMQ, Playwright and many more.
Use cases
- Automate e-commerce sales campaigns with AI-generated content, human review and analytics
- Route support emails, summarize them and post alerts to Slack with optional human approval
- Run multi-agent code review where one model proposes changes and another challenges them
Heym vs alternatives
Heym | Pipelex | ||||
|---|---|---|---|---|---|
| Best for | Self-hosted AI workflow orchestration | Declarative AI workflow definition | Large MCP tool library | AI-enhanced MCP workflows | API-to-agent bridging |
| Pricing | Free | Free | Subscription | Free | Free |
| DevHunt upvotes | 5 | 40 | 29 | 10 | 8 |
| Launched | Apr 2026 | Oct 2025 | Jan 2026 | Nov 2025 | May 2026 |
- Heym vs Pipelex: Pipelex offers a declarative language for AI workflows but is not a visual canvas and is MIT-licensed only.
- Heym vs Unified MCP Server: Unified MCP Server focuses on providing a massive catalog of MCP tools, while Heym includes a visual editor and self-hosting.
- Heym vs Atono MCP Server: Atono MCP Server adds AI-powered workflow intelligence on top of MCP integration, whereas Heym provides a full visual low-code environment.
- Heym vs MCP Bridge by Appfactor: MCP Bridge connects any API to AI agents, but does not offer the drag-and-drop workflow canvas and built-in RAG of Heym.
Heym FAQ
Can Heym be run on my own infrastructure?+
Yes, Heym is self-hosted via Docker Compose or Kubernetes and runs on your own servers.
Is there any licensing fee for using Heym?+
No, Heym is free to use with no licensing fees or usage limits.
What language models can I connect to Heym?+
Heym integrates with OpenAI, Anthropic, Ollama, Cerebras, Google Gemini, OpenRouter and others.
How does the AI Assistant create workflows?+
You describe the desired workflow in natural language and the assistant generates the corresponding nodes and edges on the canvas.
Can I add human approval steps in a workflow?+
Yes, Heym provides Human-in-the-Loop checkpoints where a reviewer can approve or reject actions.
What observability does Heym provide?+
Heym offers full execution tracing, span timelines, token counts and a visual runtime view for debugging.
Summarized by DevHunt from heym.run · Sep 29, 2026. Details may change; check the official site.

Heym
Pipelex











