Simple self-hosted LLM assistant with user-steered compounding context

I built a personal LLM assistant on Cloudflare Workers + Durable Objects. You specify a category and topic when starting a new conversation, so the backend maintains a summary for each category/topic - building up as more conversations happen under the same one.There is no complicated RAG, embeddings, or agentic magic, but the category/topic summaries system just works, and I've genuinely found it super handy and have been using it daily for my life and work.I started it to get familiar with Durable Objects and to test out this idea draft I had buried on my board. After recently losing my job, I started working on it more. Testing it with my friends and focusing on it being as straightforward as possible to understand, deploy and use. This week I open-sourced it for more people to tryRepo: https://github.com/kol3x/pawmcSome details:- $0 cost on Cloudflare's free tier with default configuration - Everything in a singleton Durable Object - Workers AI as the default provider - OpenRouter support for more stable access and bigger models (there, you'd need to pay for tokens)