Frameworks & Tools
- What is the best framework for building AI agents?
There's no single best framework. LangChain is popular but complex; LlamaIndex excels at data; AutoGen and CrewAI focus on multi-agent. For simple agents, plain Python with an LLM API often works best. - Should I use LangChain or LlamaIndex for my AI agent?
Use LlamaIndex if your agent mainly needs to search, retrieve, and reason over documents. Use LangChain if you need broad tool integrations and complex chains. For simple agents, neither may be necessary. - What is AutoGPT and how does it work?
AutoGPT is an open-source AI agent that autonomously breaks down a goal into tasks, executes them using tools like web search and file writing, and iterates until done. It was an early viral project but often gets stuck in loops. - How do I choose between OpenAI Assistants API and custom agents?
Use OpenAI Assistants API for quick prototypes and simple tool use without managing infrastructure. Build custom agents when you need full control, complex workflows, or to avoid vendor lock-in. - What tools do I need to build a production-ready AI agent?
You need an LLM API, an orchestration framework, a vector database for memory, monitoring tools, and a deployment platform. The exact stack varies by use case and scale. - Can I build an AI agent without using a framework?
Yes, you can build an AI agent using just an LLM API and your own code. Frameworks add convenience but aren't required.