Heym just crossed 200 GitHub stars: self-hosted AI workflow automation with agents, RAG, MCP, and observability

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.