Hiveflow vs ServiceNow AI Agent Studio

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.

ServiceNow AI Agent Studio has no write-up on Specifiction yet; its figures are above.