Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
| Date | Stars |
|---|---|
| 2026-07-24 | 2789 |
| 2026-07-25 | 2798 |
| 2026-07-28 | 2798 |
| 2026-07-30 | 2798 |
| 2026-07-31 | 2833 |
| 2026-08-06 | 2833 |
Today
— stars today
This week
+35 stars this week
This month
— stars this month
Momentum
35.0
growth rate 1.25%/day
<p align="center">
<a href="https://aiengineering.beehiiv.com/">
<img src="assets/theaiengineering_logo.jpeg" alt="Hands-On AI Engineering Banner" width="150">
</a>
</p>
<div align="center">
# 🚀 Hands-On AI Engineering
[](https://opensource.org/licenses/MIT)
[](CONTRIBUTING.md)
</div>
A curated collection of practical, production-ready AI projects across multiple modalities, including language models, multimodal models, OCR systems, RAG pipelines, and AI agents. Each project is designed to help you learn, experiment, and build real-world AI applications.
## 📋 Table of Contents
- [🎯 Why This Repository?](#-why-this-repository)
- [🗂️ Project Categories](#️-project-categories)
- [🚀 Getting Started](#-getting-started)
- [🤝 Contributing](#-contributing)
- [📜 License](#-license)
---
## 🎯 Why This Repository?
- **Learn by Doing**: Each project includes complete code, setup instructions, and documentation
- **Production-Ready**: Projects follow best practices and are ready to be adapted for real-world use
- **Diverse Use Cases**: From RAG systems to multi-agent workflows and specialized applications
- **Multiple Model Providers**: Projects use OpenAI, Anthropic, Google, and open-source models
- **Active Community**: Regular updates and new project additions
---
## 🗂️ Project Categories
### 🤖 AI Agents
Intelligent ai agents for various automation tasks.
- [**Multi-Agent Research Assistant with Memory**](./ai_agents/research_assistant_with_memory) — Planner, Research, Writer, and Critic agents collaborate over a shared [Actian VectorAI DB](https://www.actian.com/databases/vectorai-db/) memory layer. Retrieves cited answers from PDFs, papers, manuals, and transcripts, self-grades them with a Critic feedback loop, and persists findings across sessions. Fully local via Ollama and BGE embeddings.
- [**Multi-Agent Financial Analyst**](./ai_agents/multi_agent_financial_analyst) — Team of specialized agents for comprehensive financial analysis.
- [**FinAgent**](./ai_agents/finagent) — Financial assistant agent for stock market analysis and insights.
- [**Daily AI News Digest**](./ai_agents/daily-news-digest) — Automated daily digest from 92 Karpathy-curated tech blogs delivered to Telegram every morning. MiniMax M2.7 scores articles from the last 24 hours and surfaces the 3 most significant stories.
- [**Agentic Form Filler**](./ai_agents/agentic-form-filler) — Agentic form-filling agent using Landing AI for layout parsing and MiniMax M2.7 for multi-turn data gathering.
- [**AI Travel Planning Agent**](./ai_agents/ai_travel_planning_agent) — Multi-agent travel planner that turns a single natural language request into a complete trip plan with flights, hotels, and a day-by-day itinerary.
- [**Competitive Intelligence Agent**](./ai_agents/competitive_intelligence_agent) — Generates strategic sales battlecards by analyzing competitors through the lens of your own business context.
- [**Multi-Agent Research Assistant (AG2)**](./ai_agents/multi_agent_research_assistant_ag2) — Multi-agent research pipeline using AG2 where three specialists collaborate to research any topic and produce a structured report.
- [**Self-Reflective Agentic RAG**](./ai_agents/agentic_rag_system) — LangGraph RAG system that grades retrieved context, rewrites the query if needed, and generates an answer only once the context passes validation.
- [**Agentic SQL Search**](./ai_agents/agentic_sql_search) — Natural language to SQL agent powered by Gemma 4 that writes, executes, and explains queries against an e-commerce database.
- [**Stock Portfolio Analyst**](./ai_agents/stock_portfolio_analyst) — Portfolio analysis agent built with Agno and DeepSeek-V4-Flash. Fetches live market data via YFinance and generates a report covering P&L, concentration risk, and rebalancing recommendations.
- [**Eagle Eye**](./ai_agents/eaExcerpt of 16,254 characters
Read on GitHub
Victor Oshimua · University Of The People
263
221
Sumanth · India
38
10
10
6
2
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a2abce984728d3b0, topic:ai-agents, topic:agents, desc:ai agents
matched fp:a2abce984728d3b0, topic:ocr, desc:ocr, readme:ocr