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Build self-hosted visual AI workflows with agents, RAG, HITL, and observability.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "heym" yet — see the docs or source repo.
Use heym to design a self-hosted knowledge-base Q&A workflow: connect internal documents, use RAG retrieval, add a human approval step before answers are sent, and configure basic runtime observability. Output the workflow nodes, data flow, and deployment suggestions.
A knowledge Q&A automation plan with workflow nodes, approval logic, observability setup, and deployment guidance.
Design an AI ticket-routing workflow in heym: automatically read user messages, classify issue types, use an agent to draft reply suggestions, send high-risk cases to human agents, and log every step for tracing.
A support automation workflow design covering classification, reply drafting, human handoff, and logging.
Plan a multi-agent content workflow with heym: one agent handles research, one creates summaries, one performs quality checks, and a human gives final approval before publishing. Provide the canvas node structure and execution order.
A multi-agent content production workflow describing node roles, execution order, and the human approval step.
Build automated workflows visually with AI, code, and hundreds of integrations.
Let your AI coding agent self-host open-source apps with deployment and security setup.
Orchestrate intelligent AI workflows with memory, integrations, and unified usage credits.
Build AI agent workflows and automate tasks using MCP-connected services.
Track AI agent ROI and enrich company data for better business decisions.
Compose and orchestrate AI tools into reusable intelligent workflows.