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Understanding Agentic Frameworks
2025 is bringing a big change in AI — the rise of agent frameworks. While we’ve made great progress with Large Language Models (LLMs), just making them bigger and training them on more data isn’t giving us major improvements anymore. Even OpenAI’s O3 model shows that we’re hitting the limits of what we can achieve through pre-training alone.
So what’s next? The answer lies in reinforcement learning (RL) and agents — AI systems that can actively think through problems and work towards goals. Instead of just responding to prompts, these systems use RL to learn how to reason and make decisions.
Let’s look at the different frameworks that are making this possible and how they’re changing the way AI works.
Table of Contents:
- LLMs, RAG, and Agents
- What Is An Agent?
- Early Agentic Frameworks From 2023–2024
- Looking Inside Agents
- Limitation Of Current Agentic Frameworks
- New Type Of Agentic Frameworks
- Problems With Agent Frameworks
LLMs, RAG, and Agents
What LLMs did in simple terms was compress the entire internet. Anyone who knows a little about computer science should know that compression leads to generalization. And often this generalization appears as reasoning. Because human mind is also doing some form of compression, by creating abstraction and thus…