Three Agent Infrastructure Tools Just Dropped
CC Workflow Studio, Hodoscope, and MCPorter fill critical gaps in AI agent development — design, analysis, and integration.
Three Agent Infrastructure Tools Just Dropped
The agent development ecosystem just got three critical infrastructure pieces: visual workflow design, behavior analytics, and protocol integration. Each solves a different piece of the puzzle.
CC Workflow Studio: Drag-and-Drop Agent Orchestration
CC Workflow Studio brings visual workflow design directly into VS Code. Instead of writing orchestration logic in code, you drag and drop agents onto a canvas and connect them with natural language descriptions.
The 4,600 GitHub stars show developers want this — complex multi-agent systems are hard to visualize and debug when buried in nested function calls.
Hodoscope: Agent Behavior Analytics
Hodoscope tackles the black box problem. When your agent does something unexpected, how do you debug it across thousands of actions? Hodoscope uses unsupervised learning to find patterns in agent trajectories, showing you exactly where things went sideways.
MCPorter: Making MCP Actually Composable
MCPorter solves Model Context Protocol's discovery problem. MCP servers exist but finding and chaining them requires manual configuration. MCPorter auto-discovers servers from your AI tools and generates typed TypeScript clients for easy composition.
These aren't flashy demos — they're the boring infrastructure that makes agent development actually productive.
Featured Tools
CC Workflow Studio
A Visual Studio Code extension that provides a drag-and-drop workflow editor for designing AI agent orchestrations. Create and manage multi-agent work
MCPorter
A TypeScript runtime, CLI, and code generation toolkit for the Model Context Protocol (MCP) that helps developers discover, call, and compose automati
Hodoscope
An open-source tool for analyzing AI agent behavior through unsupervised learning. It summarizes, embeds, and visualizes agent trajectories to help re
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