ThoughtDAG - Editable context graph for LLM conversations

Show HN: ThoughtDAG – An editable context graph for LLM conversations

ThoughtDAG transforms LLM conversations from hidden linear histories into visible, editable context graphs. You can clip passages from sources, link them to nodes, and wire exactly what the model sees before generating. The graph shows which context enters each request, lets you preview token counts, and edit edges to remove irrelevant branches—so answers become reproducible and clean. It's a context protocol that makes AI interactions inspectable and controllable, ideal for research, writing, and complex reasoning tasks.