Built a lightweight Python framework for local LLM roleplay (Ollama/Phi-3) to stop context drift. Looking for feedback.

Hey everyone, I wanted to share an open-source project I’ve been building. I wanted a clean, lightweight way to handle local AI roleplay using Ollama and Phi-3, but I kept running into issues with character drift, streaming lag, and context management. Instead of dealing with massive, bloated AI agent frameworks, I built a dedicated, lightweight Python framework specifically for this use case. It handles context-locking and LLM streaming natively so the character stays locked in without eating up unnecessary token RAM. **Features built-in:** * **Ollama Integration:** Tailored directly for local models like Phi-3 (Other model are also supported but I use phi-3). * **Native LLM Streaming:** No long wait times for generations. * **Context Preservation:** Keeps the persona intact even over longer multi-turn chats. * **MIT License:** Purely open-source. Because my Reddit account is brand new, the automod will delete my post if I include a direct GitHub hyperlink. If you want to check out the code, look at the files, or help test it, **the direct link is pinned on my Reddit profile bio**, or you can search GitHub for: **tegetgoofficial-bot/ai-roleplay-framework** I’m looking to see if the structure makes sense to other developers here. What do you think of handling local roleplay state this way?