The Biggest LLM App Collection on GitHub
awesome-llm-apps by Shubham Saboo is the single largest collection of production-ready LLM application examples on GitHub, with nearly 100,000 stars. The repository covers every major pattern in modern AI application development.
AI Agents (30+ examples)
From starter agents that handle single tasks (data analysis, travel planning, web scraping) to advanced autonomous agents (deep research, self-evolving agents, system architecture design). Each agent is a complete, runnable Python application.
Multi-Agent Teams (13 teams)
Real-world multi-agent workflows where specialized agents collaborate: finance teams, legal teams, recruitment pipelines, competitive intelligence, and full-stack coding teams. These demonstrate coordinator-worker, pipeline, and ensemble patterns.
RAG Pipelines (19 implementations)
Every RAG pattern you need: basic chains, corrective RAG (CRAG), autonomous RAG, knowledge graph RAG with citations, hybrid search, vision RAG, and RAG-as-a-Service. Covers both cloud and local deployments.
MCP Agents & Voice AI
MCP Agents (4 examples) — Model Context Protocol implementations for browser automation, GitHub integration, Notion databases, and travel planning.
Voice AI Agents (4 examples) — Voice-based agents including customer support, audio tours, RAG with voice input, and local dictation.
Optimization Tools & Getting Started
Toonify (30-60% token cost reduction) and Headroom (50-90% context compression) for production cost optimization.
All examples use Python and support multiple LLM providers including OpenAI, Anthropic, Google Gemini, and open-source models via Ollama.
Explore the full collection at github.com/Shubhamsaboo/awesome-llm-apps.