// HACKER NEWS — CYBERSECURITY
Show HN: ThoughtDAG – An editable context graph for LLM conversations
Explore another interpretation without overwriting the path that led you
here.
Keep a useful detour on the canvas while excluding it from the next request.
Bring selected evidence and reasoning paths back together in one answer.
Preview what the model will receive before generation. No hidden memory
selection.
The history is here. Which parts enter the next request?
This history should not enter the research summary.
The prompt stayed the same. Polluted context changed the answer.
No hidden memory selector. What the model sees, why, and what was removed
stay visible in the graph.