Heym vs Hiveflow

Heym is infrastructure for building, running, and governing AI agents and workflows in production. Workflows can be assembled on a visual canvas or described by text or voice for generation by its AI assistant. An orchestrator delegates to named sub-agents and sub-workflows across as many as five nesting levels. Retrieval supports managed Qdrant or built-in Postgres with pgvector, document uploads, semantic search, and optional Cohere reranking. Human-review checkpoints pause runs so a reviewer can accept, edit, or refuse before continuation. Execution traces record prompts, responses, tool calls, timing, and token use, with built-in evaluation features. Listed integrations include OpenAI, Anthropic, Google Gemini, Slack, Discord, Gmail, Outlook, GitHub, Jira, Telegram, Notion, Qdrant, Redis, RabbitMQ, Google Sheets, and MCP. Heym is self-hostable with Docker Compose or Kubernetes, and describes encrypted credentials plus JWT authentication.

Hiveflow is a visual platform for building, running and monitoring AI workflows and agents. Its drag-and-drop canvas lets users assemble workflows from nodes, connections, prompts and model settings. The catalog includes 44+ node types, such as LLM agents, HTTP, database, memory, loops, human-in-the-loop and MCP nodes. Triggers can be scheduled or respond to events, webhooks, file changes or custom conditions; flows also support branching logic, loops and retries. Named model options include OpenAI, Anthropic, Gemini, Vertex, Bedrock, Groq and Mistral, with managed or bring-your-own keys. Hiveflow lists 100+ integrations, including messaging, productivity and database services. Monitoring covers execution metrics, errors, debugging, alerts and cost analysis, while team workspaces support sharing, comments, reviews and role permissions. It runs on Android, iOS, Linux, macOS, Windows, web, API and extension platforms. A free option is available. Professional is listed from $397/mo, billed annually, with 25,000 executions/month and up to 25 workflows.