Visual runtime
Watch the canvas execute branches, tools, memory, and HITL checkpoints as one graph.
Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.
Built for AI, platform, and automation teams.
Heym is an agentic AI workflow automation platform with a visual, low-code editor. Describe a workflow in natural language and the assistant builds it for you, or wire it yourself from a deep library of built-in nodes and integrations. It supports LLM nodes for text generation and vision, Agent nodes with tool calling and Python tools, RAG for semantic search over Qdrant or built-in Postgres (pgvector), MCP client and server integration, human-in-the-loop approval checkpoints, content guardrails, parallel DAG execution, a skills system for portable agent capabilities, Playwright browser automation with auto-heal, and integrations with Telegram bots, Slack, IMAP inboxes, outbound WebSocket streams, email, Redis, RabbitMQ, Grist, and any HTTP API. Heym is source-available and fully self-hosted, so your data and automations stay on infrastructure you control, from the first prototype to production, with tracing and evals built in. Self-host with Docker Compose or Kubernetes on your own infrastructure.
Integrates with
Heym integrates with OpenAI, Anthropic, Ollama, Cerebras, Google Gemini, OpenRouter, Slack, Discord, Gmail, Outlook, GitHub, Jira, Linear, Cloudback, Telegram, Notion, Qdrant, ClickHouse, Redis, Supabase, PostgreSQL, Amazon S3, RabbitMQ, WebSocket, Docker, MCP, Grist, Google Sheets, Google Drive, BigQuery, Playwright, Sentry, Ejentum.
Product Tour
One e-commerce sales campaign, followed end to end: workflow generation with the AI Assistant, human review, board execution, structured data, dashboards, traces, RAG, MCP, analytics, and team collaboration.
Heym Product Tour
Overview
Heym is not a static form builder. It is a running AI workflow system with visible execution, agent delegation, memory, tool calls, and review checkpoints.
Watch the canvas execute branches, tools, memory, and HITL checkpoints as one graph.
Describe a workflow and see Heym generate nodes, edges, and MCP tools on the canvas.
Coordinate sub-agents, skills, sub-workflows, and human review from one orchestrator.
Core production primitives stay available in the source-available, self-hostable product.
Self-host Heym, review the code, and tailor the platform to your infrastructure.
Licensed under Commons Clause + MIT
Deploy on your infrastructure, use your own models and credentials, inspect every execution, and add human approval before critical actions.
Ready-made workflows for common AI automation patterns. Download, paste onto the canvas, and run in minutes.
Let an Agent inspect a GitHub request, prepare a confirmed Codex task, open a ready PR, and notify Slack when Codex needs input.
Read topics from Google Sheets, generate short videos with the VEO 3 API, and upload each one to TikTok automatically.
Draft a customer-facing support response, pause for human approval, then continue with the reviewed reply.
An orchestrator pulls a pull request from GitHub, a primary reviewer proposes findings, and a challenger on a different model disputes them — arbitrated into one calibrated approve, comment, or request-changes decision.
Send an array through the OpenAI Batch API, branch on live status updates, and collect the final per-item results.
Watch a shared mailbox, summarize incoming support email, and route urgent messages to Slack.
Guides, tutorials, and deep dives on AI workflow automation, self-hosted agents, and building with Heym.
Agent skills assume a human at a terminal. What changes when a cron trigger starts the run: activation, sandboxing, versioning, and proof. →
AI document processing when the PDF is just photos: how to pick between OCR and a vision model, and the build that catches what each one gets wrong. →
9 n8n alternatives for AI agents in 2026, compared on license, self-hosting, pricing, and native MCP support, so you can pick one without the research.
Connect with developers, share workflows, and shape the future of AI automation.
Heym is built in the open by a growing community of contributors and users. Whether you want to report a bug, suggest a new node type, share a workflow template, or contribute code, there are multiple ways to get involved. Join the Discord for real-time discussions, browse the GitHub repository for source code and issues, or dive into the documentation to learn every feature in depth.
Clone the repo, configure your environment, and build your first AI workflow in under five minutes with step-by-step instructions.
Detailed reference for the full node library organized by category: triggers, AI, logic, data, integrations, automation, and utilities.
Setup Telegram, Slack, IMAP, outbound WebSocket clients, Redis, RabbitMQ, mail, and API integrations with concise guides and examples.
Comprehensive overview of all Heym features including workflows, agents, RAG, skills system, and advanced capabilities.
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One runtime. Your infrastructure. Every feature in the open.
Docker Compose · K8s Helm · MIT + Commons Clause
Heym is a source-available AI-native workflow automation platform that lets you build, visualize, and run intelligent pipelines without writing code. Using a drag-and-drop canvas, you connect a broad library of node types across seven categories — triggers, AI, logic, data, integrations, automation, and utilities — into production-grade workflows that run on your own infrastructure.
Every workflow is a directed acyclic graph (DAG) that Heym compiles, validates, and executes in parallel where dependencies allow, giving you maximum throughput without manual parallelism boilerplate.
Explore the platform overview, feature deep dives, node reference, documentation hub, use cases, enterprise options, and community resources from the links in the site footer.
MCP integration works in both directions. As an MCP client, Agent nodes connect to any external MCP server and gain access to all tools it exposes. Heym automatically discovers available tools on connection and presents them in the agent configuration panel.
As an MCP server, Heym exposes all published workflows as callable tools over the MCP protocol. Claude Desktop, Cursor, VS Code extensions, and other MCP-compatible clients can invoke your workflows directly from their native interfaces.
The skills system enables portable, reusable capability bundles for Agent nodes. A skill is a zip archive or Markdown file containing a SKILL.md instruction document and optional Python tool files. Dragging a skill onto an Agent node extends that agent’s system context and toolbox without modifying the node configuration.
Skills can define custom tool schemas, persistent memory structures, and multi-step reasoning templates. Agent nodes include an AI Skill Builder modal for drafting and revising skills with live previews. The same skill can be shared across multiple agents and workflows for consistent behavior across an organization.
Join the Heym Discord community to share workflows, report issues, and collaborate with other builders. Tutorial videos walk through canvas basics, agent configuration, RAG setup, and deployment patterns.
Community templates and blog posts demonstrate real production patterns — from MCP tool servers to evaluation-driven prompt iteration. Sharing workflows publicly helps other teams adopt guardrails, tracing, and human review patterns that are easy to skip in early prototypes.
Contributing back to the open-source repository improves documentation, adds node types, and hardens executor edge cases. Whether you file a bug with a minimal reproduction or ship a pull request for a new integration node, the community benefits from shared execution semantics tested across diverse deployments.