by heymrun · MCP Server · ★ 607
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Heym AI-Native Workflow Automation Platform Build, visualize, and run intelligent AI workflows — without writing code. Drag-and-drop canvas · LLM & Agent nodes · RAG pipelines · Multi-agent orchestration · MCP support heym.run [
| Stars | 607 |
| Forks | 63 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 45.52/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-03-28 |
| Platforms | mcp, node, python |
| Est. Tokens | ~21k |
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heym is Build AI workflows by prompt or visual canvas. Heym is source-available and self-hosted, with agents, RAG, MCP, HITL, observability, evals, token cost tracking and more.. It is categorized as a MCP Server with 607 GitHub stars.
heym is primarily written in Python. It covers topics such as ai-agents, ai-agents-framework, ai-assistant.
You can find installation instructions and usage details in the heym GitHub repository at github.com/heymrun/heym. The project has 607 stars and 63 forks, indicating an active community.
The top alternatives to heym on Agent Skills Hub include mcp, agents, openops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.