Three Infrastructure Tools That Fix Agent Development Workflows
Visual workflow design, behavior analytics, and structured data access—the missing pieces of agent infrastructure just dropped.
Three Infrastructure Tools That Fix Agent Development Workflows
Agent development has a workflow problem. You're juggling multiple LLMs, trying to understand why agents make specific decisions, and constantly wrestling with data access patterns. Three new tools just dropped that solve these exact pain points.
CC Workflow Studio brings drag-and-drop workflow design directly into VS Code. Instead of writing complex orchestration code, you design multi-agent workflows visually, then export them with one click. Works with Claude Code, GitHub Copilot, and Cursor for natural language editing.
Hodoscope provides the first proper analytics platform for agent behavior. It uses unsupervised learning to analyze agent trajectories, helping you discover unexpected patterns across different models and configurations. Essential for understanding why agents behave differently at scale.
FlightSeatMap MCP Server gives agents visual access to real-time flight data through interactive seat maps. Perfect example of structured data access that agents actually need—not just text descriptions, but visual layouts with clickable elements.
Each fills a critical gap in the agent development stack: visual design, behavior understanding, and structured data access.
Featured Tools
FlightSeatMap MCP Server
An MCP server that provides interactive flight seat maps directly within AI conversations. Look up any flight's seating layout, find the best seats ba
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
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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