Open-source AI solutions for enterprise scenarios across multiple industries. Each sector contains production-ready applications with modern tech stacks and AI-native architectures.
| Collection | Directory | Description | Status |
|---|---|---|---|
| Agent Square | agent-square/ |
306 industry-specific AI agents across 9 verticals (bilingual ZH·EN) | Active |
| Agri-Livestock | agri-livestock/ |
Agriculture & livestock industry solutions | Active |
| Finance | finance/ |
Financial services, risk & compliance | Coming Soon |
| Manufacturing | manufacturing/ |
Smart manufacturing & supply chain | Coming Soon |
| Energy | energy/ |
Energy management & grid intelligence | Coming Soon |
| Healthcare | healthcare/ |
Medical & pharmaceutical applications | Coming Soon |
Production-ready agent definitions for 10 industry verticals — each agent is a standalone .md file with YAML frontmatter, bound APIs, workflows, and deliverable samples. Usable as Claude Code subagents, system prompts, or business-blueprint references.
| Scope | Count | Sectors |
|---|---|---|
| Industry Collection | 306 | Finance · Manufacturing · Energy · Healthcare · Retail · Education · Logistics · Technology · Agriculture |
The general-purpose / digital-employee slice (31 agents) is published in the companion repo Ruidong-AI/agent-square. Together they form the complete 365 agents, one per day of the year.
| Project | Description | Tech Stack |
|---|---|---|
| Market Assistant | AI-powered commodity price forecasting & procurement decision platform for feed ingredients (soybean meal, corn, rapeseed meal, fishmeal, soybean oil) | React 19, Tailwind v4, ECharts, Framer Motion |
Each project is self-contained with its own README, dependencies, and setup instructions. Navigate to the project directory and follow its Quick Start guide.
# Example: run the Market Assistant
cd agri-livestock/market-assistant
npm install
npm run devAll projects are released under the MIT License.
