AutoGPT
- Short-term: Conversation buffer (in-memory list)
- Long-term: Manual JSON file persistence
- Control: Developer explicitly saves/loads memory
- Pattern: Simple append-to-buffer, no automatic summarization
Example:
python1import json 2from openai import OpenAI 3 4class PersistentAutoGPT: 5 def __init__(self): 6 self.conversation_buffer = [] 7 8 def save_memory(self, file_path='memory.json'): 9 with open(file_path, 'w') as f: 10 json.dump(self.conversation_buffer, f) 11 12 def load_memory(self, file_path='memory.json'): 13 try: 14 with open(file_path, 'r') as f: 15 self.conversation_buffer = json.load(f) 16 except FileNotFoundError: 17 pass 18 19 def add_to_conversation(self, message): 20 self.conversation_buffer.append(message) 21 22# Usage 23p_auto_gpt = PersistentAutoGPT() 24p_auto_gpt.add_to_conversation("User: Hello") 25p_auto_gpt 26 27[Read the full article at Towards AI - Medium](https://pub.towardsai.net/6-agentic-frameworks-compared-24-implementations-across-4-use-cases-932496dba80c?source=rss----98111c9905da---4) 28 29--- 30 31**Want to create content about this topic?** [Use Nemati AI tools](https://nemati.ai) to generate articles, social posts, and more.

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