ahacker-1

ahacker-1 / cre-acquisition-orchestrator

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Multi-agent AI system for commercial real estate acquisitions. 31 agents, 5 deal phases, 8 domain knowledge skills, real-time dashboard. No API keys needed to run.

www.theaiconsultingnetwork.com agent-orchestration ai-agents commercial-real-estate cre due-diligence
11
6
100% credibility
Found Mar 20, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An open-source framework simulating multi-agent AI analysis of commercial real estate multifamily acquisitions through due diligence, underwriting, financing, legal review, and closing, with a real-time dashboard for monitoring.

How It Works

1
🏠 Discover AI Deal Analyzer

You hear about a free tool that simulates smart agents checking real estate deals like pros do it.

2
📥 Get the Demo Ready

Download it and click to start the sample apartment building analysis—no setup needed.

3
📊 Watch Agents Work Live

Open the colorful dashboard to see dozens of expert agents buzzing through checks in real time.

4
🏢 Enter Your Property

Swap in details about your building, like units and price, to make it your own deal.

5
🚀 Hit Go on Analysis

Launch the full review from property check to closing plan—it runs automatically.

📈 Get Your Deal Report

Receive a complete recommendation with risks, finances, and go/no-go advice ready to share.

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Star Growth

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AI-Generated Review

What is cre-acquisition-orchestrator?

This TypeScript project runs a multi-agent AI system for commercial real estate acquisitions, deploying 31 agents across 5 deal phases from due diligence to closing. Drop a sample deal config, run `npm run demo`, and watch a full pipeline simulate realistic financials, market analysis, and legal reviews offline—no API keys or LLMs needed. A React dashboard streams live views of agent trees, timelines, findings, and final reports, making it a hands-on multi agent system example for acquisition workflows.

Why is it gaining traction?

Unlike generic multi agent github code or langgraph multi agent github frameworks, it packs CRE-specific skills like underwriting calcs, lender criteria, and risk scoring into a hierarchical orchestrator with schema-validated handoffs. Devs fork it for the zero-setup sim that demos claude multi agent github patterns in a real domain, plus a polished 9-tab dashboard for tracing multi agent system architecture. The offline engine and failure injection hooks let you test multi agent systems mas resilience without cloud costs.

Who should use this?

CRE teams prototyping AI for multifamily underwriting and due diligence pipelines. Proptech devs building custom multi agent platform github tools for deal analysis. AI engineers studying multi-agent systems in ai via a concrete multi agent system llm example beyond toys.

Verdict

Solid reference for multi agent system framework experiments in acquisitions—run the demo today for instant value. Low 11 stars and 1.0% credibility score reflect early maturity and niche focus, with strong docs but no tests; fork it, not deploy it.

(187 words)

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