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Hiveflow

Hiveflow provides a visual, drag-and-drop platform for building and orchestrating AI agent workflows that connect LLMs, tools, and business applications. Teams can design flows that classify, decide, and act autonomously, with the same visual flow running in production with versioning, monitoring, and scaling built in. The platform includes native nodes for REST, webhooks, OAuth 2.0, and MCP servers, plus a full REST API with 126 endpoints.

Traction 4/10
HQ unknown
Founded 2025250+ followers
  • AI Agents
  • Artificial Intelligence
  • Enterprise Software
  • Developer Tools
  • Software Only
Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Building AI agent workflows typically requires complex code to connect large language models, external tools, and business applications, forcing teams to maintain brittle scripts and glue code. This slows down prototyping and makes it difficult to move from experimentation to reliable production deployments.

Solution

Hiveflow provides a visual, drag-and-drop canvas where teams can design, connect, and orchestrate AI agents that link LLMs, tools, and business applications. Users create nodes for AI models, HTTP requests, webhooks, and MCP servers, then connect them to establish data flow and routing. The same flow that is sketched visually is the one that runs in production, with versioning, monitoring, and scaling built in. Agents can autonomously classify, decide, and call external tools—including CRM, Kanban, email, and MCP servers—via function calling. Real-time execution monitoring and detailed logs provide insights into every step of the workflow.

Target Audience

Hiveflow targets engineering and operations teams building AI-powered automations that need to connect large language models with their existing business tools, APIs, and data sources.

Features

  • Drag-and-drop node creation with custom AI model configuration and built-in prompt templates
  • Native nodes for REST/HTTP, webhooks, OAuth 2.0, and Model Context Protocol (MCP) servers
  • Credentials stored encrypted per workspace with automatic OAuth token renewal
  • Real-time execution monitoring with detailed process insights and logs
  • Automated workflow scheduling and versioned flows for production readiness
  • Full REST API (126 endpoints) with JWT, API keys, and trigger keys for server-to-server integration
  • OpenAPI 3.0 spec available for import into Apidog, Postman, or Swagger UI
This profile is AI-generated and may contain inaccuracies.