DopplerAI is an advanced API designed to help developers create sophisticated Large Language Model (LLM) applications. It includes built-in memory capabilities and vector search, providing a robust framework for developing chatbots, virtual assistants, and other interactive AI applications. With DopplerAI, users can achieve better context retention in conversations and more accurate information retrieval, improving the overall user experience and functionality of AI-driven applications.

LLM Agents Example provides a hands-on codebase for building AI agents in Python. It demonstrates registering custom tools (web search, math solver via WolframAlpha, CSV analyzer, Python REPL), creating chat and retrieval-based agents, and connecting to vector stores for document question answering. The repo illustrates patterns for maintaining conversational memory, dispatching tool calls dynamically, and chaining multiple LLM prompts to solve complex tasks. Users learn how to integrate third-party APIs, structure agent workflows, and extend the framework with new capabilities—serving as a practical guide for developer experimentation and prototyping.