Update docs/hub/agents.md

Co-authored-by: Aymeric Roucher <[email protected]>

Author: merveenoyan

docs/hub/agents.md

@@ -6,7 +6,9 @@ This page compiles all the libraries and tools Hugging Face offers for agentic w
 
 [smolagents](https://github.com/huggingface/smolagents) is a lightweight library to cover all agentic use cases, from code-writing agents to computer use, in few lines of code. It is model agnostic, supporting local models served with Hugging Face Transformers, as well as models offered with [Inference Providers](../inference-providers/index.md), and proprietary model providers. 
 
-It offers three agent classes based on the ReAct framework: `CodeAgent` for agents writing their own code, `ToolCallingAgent` for tool calling agents, and the `MultiStepAgent` (on which the two former agents are based) for multi-step ReAct workflows.
+It offers a unique kind of agent :`CodeAgent`, an agent that writes its actions in Python code.
+It also supports the standard agent that writes actions in JSON blobs as most other agentic frameworks do, called `ToolCallingAgent`.
+To learn more about write actions in code vs JSON, check out our [new short course on DeepLearning.AI](https://www.deeplearning.ai/short-courses/building-code-agents-with-hugging-face-smolagents/).
 
 If you want to avoid defining agents yourself, the easiest way to start an agent is through the CLI, using the `smolagent` command.