Heym
Source-available, self-hosted AI-native workflow automation platform. Build multi-agent pipelines, RAG workflows, and MCP-connected automations on a visual canvas.
EU
Features
Properties
- Support for Themes
- Privacy focused
- Lightweight
- AI-Powered
Features
- Gantt-charts
- No Tracking
- End-to-End Encryption
- Dark Mode
- Calendar Integration
- Real time collaboration
- Cloud Sync
- Extensible by Plugins/Extensions
- Subtasks
- Reminders
- Ad-free
- Goal Tracking
- Import CSV Data
- Full-Text Search
Sync with Google Calendar- Marketing Automation
- Auto Responder
- Recurring Tasks
- Support for MarkDown
- No Coding Required
- Task Time Tracking
- Team Collaboration
- Workflow Automation
- Model Context Protocol (MCP) Support
Heym News & Activities
Recent activities
controlbird added Heym as alternative to ControlBird
Heym added Heym as alternative to Hermes Agent
Heym added Heym as alternative to Trigger.dev
Heym information
Developed by
heymrun Licensing
Open Source and Free product.Written in
Alternatives
25 alternatives listedSupported Languages
- English
AlternativeTo Categories
Office & Productivity, AI Tools & Services, Development, Remote Work & Education, Security & Privacy, Social & CommunicationsGitHub repository
- 780 Stars
- 71 Forks
- 0 Open Issues
- Updated
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.