ThoughtDAG Lets Users Build Editable Context Graphs for LLM Chats

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A developer has released ThoughtDAG, an open tool that allows users to visualize and edit the context structure of large language model conversations as a directed acyclic graph (DAG). The project was shared on Hacker News as a community showcase submission. ThoughtDAG aims to give users greater control over how context is organized and passed during LLM interactions. The tool is accessible via a GitHub Pages site, suggesting it is an independent, likely open-source project. At the time of posting, the submission had minimal community engagement with only a few points and no comments.

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