Hiveflow vs Processo

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.

Processo is a web-based no-code platform for modeling data, automating workflows, building internal apps and deploying AI agents for business processes. Its visual builder creates apps, dashboards and reports from shared data. Prebuilt process templates cover CRM, Task Management and Order Management, with a blank canvas option. Agents can run from triggers or schedules, use assigned tools and APIs, and answer natural-language questions about process data with tables and charts. Connectors include Slack, WhatsApp, Gmail, Microsoft, Amazon S3, Stripe, banking and e-sign, alongside inbound webhooks and outbound REST APIs. An encrypted secrets manager stores credentials for runtime injection. Permissions can be set by entity, field and row, while approvals support sequential, parallel or conditional steps. The Free plan costs nothing, billed monthly, for one user and one process.