We just crossed 200 GitHub stars for Heym. Thanks to everyone who checked it out, starred it, opened issues, shared feedback, or tried building workflows with it.
Heym is a source-available, self-hosted AI workflow automation platform. It gives you a visual canvas for building production AI workflows with LLM nodes, Agent nodes, multi-agent orchestration, RAG pipelines, MCP client/server support, human-in-the-loop approvals, guardrails, execution history, LLM traces, evals, and reusable templates.
The goal is simple: make AI automation inspectable and self-hostable, instead of spreading prompts, tools, vector search, approvals, and logs across a pile of scripts and SaaS dashboards.
If you want to try one workflow first, this multi-agent template is a good starting point:
https://heym.run/templates/research-writer-pipeline
GitHub repo:
https://github.com/heymrun/heym
Would love feedback from people building agent workflows, self-hosted automation, or internal AI tools. Issues, stars, template ideas, and tough questions are all welcome.
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