docs: added agentverse explanation

docs/installation.md

@@ -7,7 +7,7 @@ The system requirements for the Python μAgents package are as follows, but libr
 !!! Info "System requirements"
     The Python μAgents pacakge runs on `Ubuntu/Debian`, `MacOS`, and `Windows`.
 
-    You need <a href="https://www.python.org/downloads/" target="_blank">Python</a> 3.8, 3.9 or 3.10 on your system.
+    You need <a href="https://www.python.org/downloads/" target="_blank">Python</a> 3.8, 3.9, 3.10 or 3.11 on your system.
 
 ## Install from PyPI
 
@@ -48,3 +48,20 @@ pip install uagents
     ```
     poetry shell
     ```
+
+??? warning note "Troubleshooting"
+
+    If you encounter any issues during the installation process, here are some common problems and their solutions:
+
+    **Problem** (MacOS/Python 3.11):
+    ```
+    Installing coincurve (17.0.0): Failed
+    ```
+
+    **Solution**:
+    Install the latest versions of `automake`, `autoconf`, and `libtool` with:
+    ```
+    brew install automake autoconf libtool
+    ```
+
+    For any other problems, please let us know by creating as [issue](https://github.com/fetchai/uAgents/issues).

docs/remote-agents.md

@@ -117,9 +117,9 @@ In alice's terminal:
 
 For a more complex example visit [restaurant booking demo](booking-demo.md).
 
-## The Agentverse Explorer
+## The Agentverse Mailbox
 
-μAgents can also interact remotely using a mailbox server. For example, you can use [The Agentverse Explorer](https://agentverse.ai/) to find other agents and register your own.
+Local μAgents can also interact remotely using a mailbox server. For example, you can use [The Agentverse Explorer](https://agentverse.ai/) to find other agents and register your own.
 
 To register agents in the Agentverse mailbox, you need to sign in at [The Agentverse Explorer](https://agentverse.ai/). Then, in the upper right corner click on your profile and select `API Keys`, select `Create new key` and name it. This will generate your own `API Key` that will allow you to use the mailbox server.
 
@@ -143,4 +143,39 @@ agent = Agent(
 )
 ```
 
-Now, you can recreate the example we showed at the begining of this section by also registering agent `bob` in [The Agentverse Explorer](https://agentverse.ai/).
+Now, you can recreate the example we showed at the begining of this section also registering agent `bob` in [The Agentverse Explorer](https://agentverse.ai/) and adding the missing imports, models and handlers.
+
+
+## Managed Agents on Agentverse
+
+Agentverse is both a sandbox for experimentation and learning and a place to deploy your agents so you don't have to keep them running yourself. You can also choose from a set of use case examples.
+
+To get started go to [The Agentverse Explorer](https://agentverse.ai/) and sign in. Then, click on `Managed Agents` and select `+ Use Case`. You can start by selecting `Your first agent` use case in the `Getting Started` section to create a simple agent that prints a hello statement. Now, select your new `My First Agent` agent to open the playground. Click on the `Run` button and you will see the following printed on the terminal:
+
+<div id="termynal3" data-termynal data-ty-typeDelay="100" data-ty-lineDelay="2000">
+<span data-ty>Hello, I'm an agent and my address is agent1...</span>
+<span data-ty>Hello, I'm an agent and my address is agent1...</span>
+<span data-ty>Hello, I'm an agent and my address is agent1...</span>
+<span data-ty>...</span>
+</div>
+
+You can try the `Sending messages between agents` use case to establish communication between two agents on the `agentverse`. Feel free to try other use cases or create customized agents of your own! 
+
+
+## Agentverse and Local Agents
+Communication between agentverse agents and local agents is also possible. All you need to do is provide the target address of the agent.
+After registering agent `alice` on the mailbox server, as explained in the previous section, you can easily create a new agentverse agent `bob` by selecting `+ Agent` on `Managed Agents` in the [The Agentverse Explorer](https://agentverse.ai/). Then, add the following code to `bob`:
+
+
+```python
+class Message(Model):
+    message: str
+
+@agent.on_message(model=Message)
+async def handle_message(ctx: Context, sender: str, msg: Message):
+    ctx.logger.info(f"Received message from {sender}: {msg.message}")
+
+    await ctx.send(sender, Message(message="hello there alice"))
+```
+
+Next, copy bob's address and paste it into alice's code under `RECIPIENT_ADDRESS`. Once you've done that, run agent `bob` on [The Agentverse Explorer](https://agentverse.ai/) followed by your local agent `alice`. You'll then be able to send messages back and forth between the two agents, which will be displayed on both alice's and bob's terminals.