Awesome LLM Apps offers 100+ runnable AI agent and RAG templates for quick LLM app development. It supports multiple providers and advanced multi-agent patterns with minimal setup.
daily_stock_analysis combines multi-LLM integration with multi-source financial data to automate stock market decisions across global markets. It features flexible AI provider fallback and multi-channel alerts.
MLflow offers a unified open-source platform managing lifecycle and observability for both LLM-based AI agents and traditional ML models, with vendor neutrality and production-grade features.
Browser Harness enables LLMs to automate browsers by dynamically generating helper functions using the Chrome DevTools Protocol, with minimal Python code and free remote browsers.
