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@mbakgun mbakgun released this 27 Apr 05:43
· 604 commits to main since this release
v0.0.1
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v0.0.1 — Initial Public Release

We're open-sourcing Heym today. This is the first public release of a self-hosted, source-available AI workflow automation platform we've been building in Berlin.

What ships in this release

Visual Workflow Canvas

Drag-and-drop node editor. Workflows are directed acyclic graphs — independent nodes run concurrently, dependent nodes resolve automatically. Streaming mode emits execution events in real time.

AI Assistant

Describe a workflow in plain English. The assistant generates the full canvas — nodes, connections, pre-filled properties. Supports voice input and streaming output. Works with any configured LLM credential.

38 Node Types

Triggers, AI, logic, integration, and control nodes. Full feature reference: [features.md]

Multi-Agent Orchestration

Multiple Agent nodes on the same canvas, each with its own model, tool set, and Python execution environment. Chain, branch, or run conditionally. Automatic context compression keeps long-running agents stable.

Built-in RAG

Vector store management powered by Qdrant. Upload documents, create stores, wire semantic search directly into workflows. Full pipeline visible in a single trace.

MCP Server

Every Heym instance exposes a built-in MCP Server. Any workflow can be exposed as an MCP tool — callable from Claude Desktop, Cursor, or any MCP client. Agent nodes can also connect to external MCP servers as tool sources.

Human-in-the-Loop

Pause execution at any checkpoint, generate a public one-time review URL, resume from exact stored snapshot. The same run can pause more than once.

Portal

Turn any workflow into a public-facing chat interface with a single toggle. Custom URL slug, streaming responses, file uploads, per-user authentication.

Traces

Every LLM call, agent step, token count, and latency logged automatically. Filter by source, model, or credential.

Skills System

Portable capability bundles: a SKILL.md instruction file + optional Python tools + assets. Drop onto any Agent node. AI Build assists with drafting and iterating skills.

Scheduled Tab

Full calendar view (day / week / month) of all active cron workflows.

Chat Tab

Direct LLM interface built into the dashboard. Run workflows by name, test prompts, query your data conversationally.

Drive

Built-in file storage for workflow outputs. Files generated by agents land here automatically.

Templates

Ready-made workflows: Gemini image creator, PDF→DOCX pipeline, Cursor/Claude blog crawler, Jina website reader.

Also ships

Auto Heal, Parallel Execution, Span Timeline, Error Handling & Retry, Guardrails, Variables, DataTable, Teams & Credentials.

Deployment

Single docker-compose up to get started. Kubernetes also supported.

License

MIT + Commons Clause. Source-available, free to use, not available for commercial resale without separate terms.

Links

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