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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.
Self-host shared memory, RAG search, and persistent context for AI agents.
Build, orchestrate, and deploy production-ready agent workflows faster.
Build and orchestrate production-grade multi-agent AI workflows and collaboration.
Orchestrate multi-agent workflows, track spend, and govern AI operations centrally.
Build AI agent workflows and automate tasks using MCP-connected services.
Track AI agent ROI and enrich company data for better business decisions.