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Show HN: ThoughtDAG – An editable context graph for LLM conversations
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Illustration only Photo by Ramon Buçard on Unsplash
ThoughtDAG is a new tool that structures LLM conversation context as an editable directed acyclic graph rather than a linear chat history.
Most LLM interfaces present conversation as an immutable linear thread, which limits the ability to branch, revisit, or restructure dialogue. An editable DAG approach could give users finer control over how context reaches the model, though the available material does not detail implementation or supported models.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
ThoughtDAG models LLM conversation context as a directed acyclic graph instead of a linear sequence.
The context graph is editable, allowing modification of conversation nodes after creation.
The project was shared as a Show HN post, indicating early-stage community feedback.
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