Heym icon
Heym icon

Heym

Source-available, self-hosted AI-native workflow automation platform. Build multi-agent pipelines, RAG workflows, and MCP-connected automations on a visual canvas.

Heym screenshot 1

Cost / License

  • Free
  • Open Source

Application type

Platforms

  • Self-Hosted  Runs via Docker Compose. Requires Docker and Docker Compose.
  • Docker  Official image available at ghcr.io/heymrun/heym
Heym screenshot 1
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Features

Properties

  1.  Support for Themes
  2.  Privacy focused
  3.  Lightweight
  4.  AI-Powered

Features

  1.  Gantt-charts
  2.  No Tracking
  3.  End-to-End Encryption
  4.  Dark Mode
  5.  Calendar Integration
  6.  Real time collaboration
  7.  Cloud Sync
  8.  Extensible by Plugins/Extensions
  9.  Subtasks
  10.  Reminders
  11.  Ad-free
  12.  Goal Tracking
  13.  Import CSV Data
  14.  Full-Text Search
  15. Google Calendar icon  Sync with Google Calendar
  16.  Marketing Automation
  17.  Auto Responder
  18.  Recurring Tasks
  19.  Support for MarkDown
  20.  No Coding Required
  21.  Task Time Tracking
  22.  Team Collaboration
  23.  Workflow Automation
  24.  Model Context Protocol (MCP) Support

 Tags

Heym News & Activities

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Heym information

AlternativeTo Categories

Office & Productivity, AI Tools & Services, Development, Remote Work & Education, Security & Privacy, Social & Communications

GitHub repository

  •  780 Stars
  •  71 Forks
  •  0 Open Issues
  •   Updated  
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What is Heym?

Heym is an AI-native automation platform built from the ground up around LLMs, agents, and intelligent tooling. Wire together AI agents, vector stores, web scrapers, HTTP calls, and message queues on a visual canvas then deploy instantly via Docker. Unlike platforms that started as classic trigger-action automation and layered AI on later, in Heym AI is the execution model. Features include drag-and-drop canvas, LLM and Agent nodes, RAG pipelines, multi-agent orchestration, MCP support, execution history and search, AI Skill Builder, LLM traces and observability, public chat portals, and unlimited runs. All core features ship in the free self-hostable product because serious AI automation should be inspectable, shareable, observable, and deployable from day one.

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