Visual workflow editor
Build automations on a visual canvas or start from natural-language instructions. The product also supports manual wiring from a library of nodes and integrations.
AI workflow automation with agents, RAG, MCP, and human review
Heym is an AI workflow automation platform with a visual editor for building no-code and low-code automations. The site positions it as an AI-native runtime for workflows that combine LLM nodes, agent nodes, RAG pipelines, tool calls, and human review in one place.
Users can describe a workflow in natural language and let the assistant assemble it, or build the flow directly on the canvas from built-in nodes and integrations. Heym is source-available and fully self-hosted, so teams can run it on their own infrastructure and keep data, execution, and deployment under their control.
Build automations on a visual canvas or start from natural-language instructions. The product also supports manual wiring from a library of nodes and integrations.
Coordinate multiple agents, sub-agents, skills, and sub-workflows from one orchestrator, with human review checkpoints where needed.
Use built-in RAG pipelines for semantic search, with Qdrant support and built-in Postgres pgvector storage mentioned on the site.
Connect to external tools and services through MCP client/server integration, HTTP APIs, Slack, email, GitHub, Telegram, and more.
Run workflows with tracing, evals, content guardrails, parallel DAG execution, and visible branches, tool calls, memory, and approval steps.
Self-host on your own infrastructure with Docker Compose or Kubernetes, and deploy with source access for customization and auditability.
Route support replies through an approval step so a human can review the draft before it is sent, which fits customer support teams that need guardrails.
Orchestrate a coding task from plain English, use GitHub MCP to write and commit code, and post a summary to Slack for handoff or status updates.
Run review workflows that compare findings from multiple agents before producing a final approve, comment, or request-changes decision.
Automate content pipelines that read inputs from Google Sheets, generate media with an external API, and publish the results to a destination service.
Build retrieval-based assistants or internal tools that search private knowledge with RAG over Qdrant or Postgres pgvector.
Heym is a visual AI workflow automation platform. You can describe a workflow in natural language and have the assistant build it, or wire workflows manually on the canvas with built-in nodes and integrations.
The source describes local setup as three steps: clone the repository, copy the example environment file, and run the setup script. That script starts PostgreSQL, runs database migrations, and launches the FastAPI backend and Vue.js frontend.
Heym is aimed at developers and teams that want control over their automation stack. The site emphasizes source availability, self-hosting, tracing, evals, and support for production workflows.
The platform supports source-available self-hosting on your own infrastructure using Docker Compose or Kubernetes, and it also mentions a prebuilt container image.
The pricing page says Heym is free to use with no licensing fees and no usage limits, while also noting that it is licensed under Commons Clause plus MIT, which means it is free to use, modify, and distribute but not to resell as a paid service.
Traffic data is for reference only.
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