Build AI workflow automations visually, with no coding required. Heym supports multi-agent orchestration, RAG pipelines, and MCP, plus a powerful AI builder for faster creation. Heym is a source-available, self-hosted AI workflow automation platform. It offers a visual canvas, many node types, multi-agent orchestration, RAG capabilities, HITL approvals, an MCP server/client, full LLM traces, and a portal that turns any workflow into a public chat UI. Ready to setup with no vendor lock-in.
Hey Product Hunt 👋
We're Burak and Ceren two engineers based in Berlin. We built Heym because we kept running into the same wall.
Every time we needed agents, document retrieval, approval steps, and observability all in the same workflow, we ended up gluing together four or five different tools. Existing platforms were built for simple, rule-based logic. The moment a workflow became AI-native, we were fighting the platform instead of building.
So we built what we actually wanted to use.
Heym is a self-hosted AI workflow automation platform. Visual canvas, multi-agent orchestration, built-in knowledge retrieval, human review checkpoints, full execution traces, and the ability to expose any workflow as a tool your AI assistant can call — all in one place, running on your own infrastructure.
Every decision reflects a constraint we hit in practice. Review checkpoints exist because some decisions need a human sign-off before they proceed. Automatic context management exists because we watched long-running agents silently fail mid-task. The evaluation system exists because we got tired of manually checking whether a prompt change broke something downstream.
This is v0.0.1 — actively developed, source-available.
If you're building AI workflows and spending more time on glue code than on the actual problem this is for you.
Happy to answer questions about the architecture or any design decisions. 🙏
— Burak & Ceren
the 'observability + execution traces in the same workflow' part is the unsung hero. most agent platforms treat traces as a debug afterthought, then your post-mortem on a failed run is just guessing. how granular are the events, every llm + tool call, or only at workflow boundaries?
About Heym on Product Hunt
“Self-hosted AI workflow automation with agents, RAG, and MCP”
Heym launched on Product Hunt on April 28th, 2026 and earned 66 upvotes and 6 comments, placing #68 on the daily leaderboard. Build AI workflow automations visually, with no coding required. Heym supports multi-agent orchestration, RAG pipelines, and MCP, plus a powerful AI builder for faster creation. Heym is a source-available, self-hosted AI workflow automation platform. It offers a visual canvas, many node types, multi-agent orchestration, RAG capabilities, HITL approvals, an MCP server/client, full LLM traces, and a portal that turns any workflow into a public chat UI. Ready to setup with no vendor lock-in.
Heym was featured in Open Source (68.4k followers), Developer Tools (511.7k followers), Artificial Intelligence (467.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 188.4k products, making this a competitive space to launch in.
Who hunted Heym?
Heym was hunted by Burak Akgün. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Heym stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Burak Akgün