Advanced AI Agent Pipelines for Production

The Advanced Agents category contains 20 complex, multi-agent pipelines designed for production-ready, end-to-end workflows. These projects demonstrate sophisticated orchestration patterns, integration with multiple data sources, and real-world automation use cases across research, finance, sales, content, and operations.

Key Advanced Projects

Project	Focus	Description
Deep Research + Writing Agents Workshop	Research + generation	Nebius-powered LangChain MCP workshop with Exa research, Gemini image generation, and Okahu evaluation
Nebius AutoResearch	Analytics pipeline	NYC taxi analytics pipeline optimizer using Nebius for iterative code search
Due Diligence Agent	Multi-agent research	Company due diligence pipeline with AG2 and TinyFish deep web scraping
Deep Researcher	Multi-stage research	Agno and ScrapeGraph AI-powered multi-stage research agent
Candilyzer	Candidate analysis	GitHub/LinkedIn profile analysis tool
Job Finder	Job automation	LinkedIn job search automation with Bright Data integration
AI Trend Analyzer	Trend mining	Google ADK-powered AI trend mining and analysis
Conference Talk Generator	Content generation	Automated talk abstract generation with Google ADK and Couchbase
Price Monitoring Agent	Monitoring	Price monitoring and alerting with CrewAI, Twilio, and Nebius
Startup Idea Validator	Validation	Agentic workflow to validate and analyze startup ideas
Meeting Assistant	Meeting automation	Automated meeting notes and task creation from conversations
AI Hedgefund	Financial analysis	Agentic workflow for comprehensive financial analysis
Smart GTM Agent	Strategy	Go-to-market strategy and competitive analysis agent
Car Finder Agent	Recommendation	Used car recommendation system with CrewAI and MongoDB
Content Team Agent	SEO content	SEO content optimization with Agno and SerpAPI for ranking
Customer Support Resolution	Support pipeline	LangChain and Nebius support agent with KB retrieval, order lookup, and escalation
Temporal Agents	Temporal workflows	Temporal-based AI agent examples for durable execution

How to Use Advanced Projects

Choose a workflow

cd advance_ai_agents/<project_name>

Configure API keys

cp .env.example .env

Advanced projects often integrate multiple APIs. Fill in all required keys.

Install dependencies

pip install -r requirements.txt

Run the pipeline

python main.py

Some projects expose web UIs or dashboards. Check the README for the exact command.

Advanced agents may make external API calls, trigger emails, or update external systems. Review the code before running in a production environment.

Get Started

App Categories

Contributing

Key Advanced Projects

How to Use Advanced Projects

​Key Advanced Projects

​How to Use Advanced Projects

Key Advanced Projects

How to Use Advanced Projects