house-hunting-ai-agent-harness

Find property listings with WebSearch/WebFetch or Codex-in-chrome tools, normalize them into Listing-shaped dicts, and run the house-hunting harness via the `house-hunt` MCP server. Use when a user wants real candidate properties ranked against a buyer brief.

Find property listings with WebSearch/WebFetch or claude-in-chrome tools, normalize them into Listing-shaped dicts, and run the house-hunting harness via the `house-hunt` MCP server. Use when a user wants real candidate properties ranked against a buyer brief.

Find property listings with browser/search/API tools, normalize them into Listing-shaped dicts, and run this repo's full house-hunting harness pipeline. Use when a user wants real candidate properties ranked against a buyer brief.

Run the full house-hunting AI agent pipeline for a buyer brief — intake, ranking, explanation, comparison, affordability, and tour prep. No HTTP server, browser, or external model API key needed.

Run the full house-hunting AI agent pipeline for a buyer brief — intake, ranking, explanation, comparison, affordability, and tour prep. A configured listing provider is optional when the agent can supply listings it found elsewhere.

Run the full house-hunting AI agent pipeline for a buyer brief — intake, ranking, explanation, comparison, affordability, and tour prep. No HTTP server, browser, or external model API key needed.