Heym - Self-Hosted AI-Native Workflow Automation Platform with Visual Canvas, Agents & RAG

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• Main Page: https://heym.run
• Git: https://github.com/heymrun/heym
• Licence: MIT with Commons Clause — source-available, not OSI-open-source; free to use, modify, distribute and self-host, but you may not sell it or offer it as a paid service
• Dockerfile: Yes - Separate Dockerfiles for backend, frontend, and a release-specific docker/release.Dockerfile
• Docker-compose: Yes
• Demo: No public demo available, but product tour available

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• Summary:
  • AI-native automation platform built around LLMs and agents from the ground up, wiring AI agents, vector stores, web scrapers, HTTP calls, and message queues together on a drag-and-drop Vue Flow canvas
  • Deep agentic feature set including multi-agent orchestration, tool calling, MCP client/server support, Human-in-the-Loop approvals, guardrails, built-in RAG (Qdrant or Postgres/pgvector), an agentic Kanban board, and an AI assistant that generates workflows from natural language
  • Production-grade observability with LLM traces, per-token USD cost tracking, evals, alerts with backtesting, live execution canvas, and workflow-powered dashboards; built on Vue 3 + TypeScript + Vite and Python 3.11 + FastAPI + PostgreSQL 16

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• Notes:
  • Perfect for teams wanting a self-hosted n8n/Flowise alternative where AI is the execution model rather than a bolt-on, with no artificial production run limits on the free self-hostable product
  • The Commons Clause makes it source-available rather than truly open source — commercial resale or offering it as a paid service requires an enterprise licence, which is worth noting for hosting providers

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• Alternative to / Libhunt link: https://selfhosted.libhunt.com/n8n-alternatives
• Screenshots:

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