Heym
Build agentic systems. Run them with confidence.·heym.run
Heym is a source-available, self-hosted AI-native workflow automation platform. It provides a visual drag-and-drop canvas for building intelligent automations with multi-agent orchestration, built-in retrieval-augmented generation (RAG), and Model Context Protocol (MCP) support. Workflows can include human-in-the-loop approval checkpoints, content guardrails, and parallel DAG execution. The platform runs entirely on the customer's own infrastructure via Docker Compose, a published container image, or Kubernetes.
What it's for
Features 22
- Agentic Kanban board where cards trigger workflow chains
- AI Assistant for natural language and voice workflow generation
- Auto Heal for Playwright browser automation (self-repairing selectors)
- Automatic context compression for long-running agents
- Built-in RAG pipeline backed by Qdrant or Postgres (pgvector)
- Content guardrails with configurable sensitivity
- DataTables with typed columns and CSV import/export
- Drive for browsing and managing skill-generated files
- Evaluation suites with LLM-as-Judge scoring
- Human-in-the-loop approval checkpoints with public review links
- LLM Batch API mode for high-volume, cost-efficient runs
- LLM trace inspection with timing, tool calls, and cost breakdowns
- MCP client and server support (bidirectional)
- Multi-agent orchestration with named sub-agents and sub-workflows up to 5 levels deep
- Parallel DAG execution
- Persistent agent memory with graph-based knowledge extraction
- Portable skills system (SKILL.md + Python tools) with AI Skill Builder
- Portal: turn any workflow into a public chat UI
- Teams with shared credentials, workflows, and vector stores
- User-built chart dashboards powered by hidden workflows and a Chart Output node
- Visual drag-and-drop workflow canvas (Vue Flow)
- Visual schedule view for cron workflows
At a glance
Integrations
Resources
Pricing
Heym is free to self-host with no licensing fees or usage limits. A cloud-hosted version is announced as 'Coming Soon' but pricing for it is not published.
Free to use and self-host; licensed under Commons Clause + MIT, which permits use, modification, and distribution but not resale as a paid hosted service. A cloud-hosted version is marked 'Coming Soon' and not yet priced.
No licensing fees, no usage limits