OpenHop enables the creation and sharing of dynamic AI agent workflows through simple URL links.

OpenHop allows users to build and modify agentic processes featuring elements such as parallel operations, sub-flow structures, and custom node representations. These capabilities help organize complex sequences involving multiple tools and integrations while maintaining an editable structure accessible via shared links. The system incorporates a flow store and browser interface that facilitate inspection of interactions between humans and AI agents. This setup proves useful for exploring how agents handle tasks like explaining codebase elements or executing specific commands. Additional support comes through dedicated command line utilities and server options that enable creation, destruction, and scaling of flows. Overall the tool focuses on practical workflow management for developers working with agent technologies.
The user asks the agent to explain how something works in their codebase using human to agent inspection.
Create, edit, and share flows via URL with support for sub-flows, parallel fan-out, and node icons.
Test pre-built examples including LangGraph ReAct, browser-use, and Vercel AI SDK integrations.
Pricing model: Open Source. Plan details are indicative — check the site for current prices.
Our take: OpenHop is a solid coding & dev choice. It's valued for broad framework and service integrations and url-based easy sharing. The main trade-off is missing pricing and plans pages. A good pick if you want capable AI without a high upfront cost.
OpenHop is a platform for creating, editing, and sharing AI agent flows via URL, including CLI and server components.
OpenHop is a solid coding & dev choice. It's valued for broad framework and service integrations and url-based easy sharing. The main trade-off is missing pricing and plans pages. A good pick if you want capable AI without a high upfront cost.
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