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Food Tour Planner Agent

Productivity community

Description

Food tour planner using LangChain DeepAgents, Google Maps API, and Tavily research. Explore multi-agent coordination patterns: task delegation via SubAgentMiddleware, planning with TodoListMiddleware

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

DeepAgent Food Tours

AI-powered food tour planner using [LangChain DeepAgents](https://github.com/langchain-ai/deepagents), Google Maps API, and Tavily research.

Screenshots

Interactive Map Interface

Map interface with search points

DeepAgent Planning Process

Adding search points to the map Natural language AI prompt AI agents planning the tour Reviews and neighborhood insights

Generated Tour Dashboard

Beautiful HTML tour dashboard header Establishment details with photos and reviews Personalized tour recommendations

Features

  • Interactive Map Interface: Click to add search points and visualize coverage areas
  • Smart Search: Scan neighborhoods with multiple overlapping search radii for complete coverage
  • AI Planning: Use natural language prompts to let AI plan personalized food tours
  • Lightweight Data Collection: Efficient API usage with minimal requests
  • Beautiful Dashboards: Auto-generated HTML reports with establishment details and research findings
  • Flexible Export: Preview results and select only the establishments you want before detailed export

Architecture

The project uses a multi-agent architecture powered by LangChain DeepAgents: