Hiveflow vs Relevance AI

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.

Relevance AI is a web platform for building specialist AI agents and shaping their actions into simple tasks or multi-step workflows with conditional logic. It lists more than 2,000 app integrations, while its homepage describes connections to 1,000+ apps. Users can access models from OpenAI, Anthropic, Google, and other providers through vendor credits. The free plan includes 200 actions per month, one workforce, one user, and one project; its annual pricing view lists 30-day task history, while another section lists seven days. Pro is listed at $19 per month billed annually, and includes 30,000 actions per year, two build users, and 90-day task history. Team is listed at $199 per month billed annually in the alternative pricing section, though the page also displays $234/month. Business is $599 per month billed monthly; Enterprise uses custom pricing. Extra actions cost $40 per 1,000, and extra vendor credits cost $20 per 10,000. Security features include data residency, PII masking, audit logs, no training on customer data, RBAC, SSO/SAML, approvals, and version control. Support ranges from community forums to account-manager support. Relevance AI is operated by OnSearch Pty Ltd.