ThoughtDAG is an open-source AI conversation canvas that makes context editable instead of invisible. Conversations become a directed graph where each wire is a route into the next request, so you can prune a stale branch, explore a side question and still bring selected evidence forward. A preview shows exactly what the model will receive before sending, down to the token count. A CLI and read-only MCP server search local agent sessions, and a desktop app works on Windows, macOS and Linux.
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Delete one edge to remove a contaminated branch from the next request
Find the conversation behind a code file or phrase across Claude Code, Codex and Harness
Attach source nodes with provenance so answers stay traceable to documents
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