ThoughtDAG – An editable context graph for LLM conversations

In plain words

ThoughtDAG is a tool that indexes agent conversations across multiple tools and creates editable context graphs for large language model interactions. It allows users to find relevant conversation turns and manually control which information enters each LLM request, making context decisions transparent and visible. The tool shows exactly what the model sees, what was removed, and maintains source links and token counts, giving users full control over their conversation context rather than relying on hidden memory selection.

written from the facts on this page · September 2026

From the sources

ThoughtDAG is an open-source AI conversation canvas. Edit LLM context, branch a discussion, and bring selected past conversations into your next question.

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