ThoughtDAG
ThoughtDAG makes LLM context visible and editable through editable context graphs.
Recommended for
- Solo / Indie
- Idea-Stage
SSIE
Stage Fit Recommendations
Following data shows why ThoughtDAG is recommended for listed teams. The Fit Score represents the percentage fit of ThoughtDAG to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
70- Maps thinking into an editable, inspectable graph of context
- Connects research passages directly to AI prompts as context
- Clips and wires specific evidence to prevent context pollution
Idea-Stage
$0
72- Supports branching, merging, and pruning of reasoning paths
- Repairs contaminated context by removing entire subgraphs
- Integrates local agents like Claude Code and Codex into the graph
- Displays session history as a visual context map across agents
ThoughtDAG is a tool that transforms local agent sessions and LLM conversations into editable context graphs. It allows users to visualize and modify the context of AI conversations, making it easier to track and edit the information used by language models. The platform supports comparing different research paths and managing context tokens efficiently. Users can preview what the model will receive, delete irrelevant branches, and optimize token usage. ThoughtDAG helps maintain clean and relevant context for better AI interactions.
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