Heym - Multi-Agent Workflows Without Code
Build AI workflow automations without code - visual canvas meets multi-agent orchestration
What is Heym?
Heym is an AI-native low-code automation platform that enables teams to build complex workflow automations without coding. Using a visual canvas, natural language descriptions, and multi-agent orchestration, users can create AI-powered workflows with LLM nodes, agent capabilities, RAG pipelines, and human-in-the-loop checkpoints. It's source-available and fully self-hosted, giving organizations complete control over their data and automations from prototype to production.
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Key Features of Heym
- Visual canvas workflow editor
- Multi-agent orchestration
- 49+ node types
- Built-in RAG pipelines with Qdrant and pgvector
- MCP client and server integration
- LLM nodes for text generation and vision
- Agent nodes with tool calling and Python support
- Human-in-the-loop approval checkpoints
- Content guardrails
- Parallel DAG execution
- Skills system for portable agent capabilities
- Playwright browser automation with auto-heal
- Natural language workflow description
- Source-available and self-hosted
- Built-in tracing and evaluations
- Integrations with Slack, Discord, Gmail, GitHub, Linear, Telegram, Notion, and more
- Support for OpenAI, Anthropic, Ollama, Cerebras, Google Gemini, OpenRouter
- PostgreSQL, Redis, RabbitMQ, Amazon S3, WebSocket support
- Docker Compose and Kubernetes deployment
Who Should Use Heym?
Crawl news sources and summarize findings with agent approval
Automate data research pipelines with RAG and semantic search
Orchestrate multi-step approval workflows with human checkpoints
Build Slack and Discord bots with AI agents
Automate email processing and inbox management
Create scheduled workflow automations with cron triggers
Build browser automation workflows with AI agents
Integrate AI agents with third-party tools and APIs
Heym: Pros & Cons
✓Pros
- Visual, no-code interface for building complex automations
- Full control over data and infrastructure with self-hosting
- Comprehensive node library covering LLMs, agents, RAG, and integrations
- Natural language workflow description capability
- Source-available codebase for transparency and customization
- Built-in tracing and evaluation tools for debugging
- Multi-agent orchestration support
- Extensive integration ecosystem
- Supports both commercial and open-source LLM providers
Frequently Asked Questions about Heym
What makes Heym different from other workflow automation tools?
Heym is AI-native with multi-agent orchestration, RAG pipelines, and MCP support built-in. It's source-available and fully self-hosted, giving you complete control over your data and automations from prototype to production.
Can I describe workflows in natural language?
Yes, you can describe your workflow in natural language in any language you speak, and Heym's AI assistant will build it for you, or you can wire it yourself from the library of built-in nodes.
What LLM providers does Heym support?
Heym integrates with OpenAI, Anthropic, Ollama, Cerebras, Google Gemini, and OpenRouter.
Can I deploy Heym on my own infrastructure?
Yes, Heym is fully self-hosted and can be deployed using Docker Compose or Kubernetes on your own infrastructure.
What integrations are available?
Heym integrates with Slack, Discord, Gmail, Outlook, GitHub, Linear, Telegram, Notion, PostgreSQL, Redis, RabbitMQ, Amazon S3, Google Sheets, BigQuery, Qdrant, and many other tools via HTTP APIs and WebSocket streams.
Tool Details
- Pricing
- Free
- Category
- Vector Databases
- Added
- Jul 2026
- Last Updated
- Jul 2026
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