
The Rise of AI Agents
The landscape of Artificial Intelligence is shifting rapidly. We are moving from the era of "Chatbots" - passive responders - to "Agents" - active doers.
What defines an Agent?
An agent isn't just an LLM. It's an LLM equipped with:
- Tools: The ability to access the web, run code, or query databases.
- Planning: The capacity to break down complex goals into steps.
- Memory: Remembering past interactions and state.
"The future of AI is not just about better models, but about better systems that use those models."
Key Frameworks
We are seeing a explosion of frameworks:
- LangChain / LangGraph: The industry standard for orchestration.
- AutoGPT: The open source pioneer.
- Semantic Kernel: Microsoft's strong contender.
Building agents requires a shift in mindset. You are no longer writing a script; you are defining a probabilistic system's boundaries.