beads

To upgrade the memory of your coding agent, you can implement a persistent storage solution using Python. First, you can utilize a simple JSON file to store memory data. Here's a code snippet that demonstrates this:

```python
import json

class CodingAgent:
    def __init__(self, memory_file='memory.json'):
        self.memory_file = memory_file
        self.memory = self.load_memory()

    def load_memory(self):
        try:
            with open(self.memory_file, 'r') as f:
                return json.load(f)
        except FileNotFoundError:
            return {}

    def remember(self, key, value):
        self.memory[key] = value
        self.save_memory()

    def save_memory(self):
        with open(self.memory_file, 'w') as f:
            json.dump(self.memory, f)

    def recall(self, key):
        return self.memory.get(key, 'Memory not found.')

# Example usage:
agent = CodingAgent()
agent.remember('favorite_language', 'Python')
print(agent.recall('favorite_language'))  # Output: Python
```
This code allows the agent to store and recall specific pieces of information, enhancing its memory capabilities.