When working with AI assistants and a large knowledge base, one recurring problem is context waste. You have a set of notes, some of them relevant, many of them only loosely related, and the easiest thing to do is often to paste too much context into the model. That creates a few problems: token usage grows quickly prompts become harder to inspect the assistant receives irrelevant information important notes can still be missed the workflow depends too much on manual searching I wanted to explore a local-first approach to this problem inside Obsidian. The result is Context Prism , an open-source Obsidian plugin that creates token-aware context packs from related notes. The idea Instead of asking an AI assistant to inspect a large vault, Context Prism does the first retrieval step locally. The active note becomes the query.…