Python agent gains memory with JSON file and OpenRouter API
A developer on Towards Data Science shows how to give a Python AI agent persistent memory using three custom classes, an OpenRouter API key, and the gpt-4.1-mini model. The setup lets the agent act as a calculator, perform basic web searches, and recall past conversations across restarts by storing data in a single JSON file.
Key points
- Three Python classes and gpt-4.1-mini model enable persistent memory for AI agents
- Uses a single JSON file to store conversation history and agent actions
- No cloud storage needed: runs locally with OpenRouter API key
The approach avoids cloud storage or databases, relying instead on local file handling. The post provides code snippets for each component, including how to initialize the agent, process inputs, and save/load memory. No server or external service is required, making it accessible for developers working offline or with limited resources.
The story so far
2 episodes →- Python agent gains memory with JSON file and OpenRouter APIthis story
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