Viewing profile — chatchan

Thanks man! Any feedback is appreciated!

Thanks for sharing, I agree with you. I also had the same struggle with bidirectional integration. I think it makes a distinction here. Because I don't want to create "another" cod…

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Thanks, oh I see, Cypher acts as a context selector. ThoughtDAG addresses the same issue but uses a visual approach: it searches for nodes first, then uses connections or reference…

Yes. I agree. I've added a small section to the README in the Git repository to describe how it works alongside your coding agent. ThoughtDAG has automatic folder backups as a JSON…

Thank you for your feedback! There is a way to delete a highlight. On the node side panel, there is a folded highlight section; you can manage your highlights there. Also, on your …

Thanks! I'm not very familiar with Neo4j and Cypher yet. How do you control the context using Cypher? Do you manually write queries for each request, or do you select nodes through…

Thank you for sharing! That did occur to me. ThoughtDAG now marks affected downstream answers as needing updates after an upstream node is modified, allowing users to rerun the alg…

That sounds interesting. Could you share the arxiv papers? I would love to check them

I agree. Most LLM tools (Claude Web, OpenAI, and their harness) offer re-editable questions. That is how I avoid such problems by myself. In ThoughtDAG, you can re-edit questions b…

The slime mold analogy is very accurate: research begins by exploring multiple directions, then gradually strengthens the path supported by evidence, stopping other branches from e…

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I think we need to distinguish between "what the model received" and "why the model generated this answer." ThoughtDAG currently focuses on the former: accurately displaying the co…

If you're referring to the loom analogy, then it's quite similar: you choose which threads to weave into the next context; unwanted threads can be unraveled :)

Thank you for your suggestion. I've added a "How ThoughtDAG differs" section to the README. Rather than listing specific products one by one, I ultimately chose to compare them bas…

Thank you for pointing out this issue. The homepage did indeed use too many common landing page elements before actually showcasing the product. I redesigned the homepage, removing…

I read the discussion you linked. The Transformer and MLP examples you gave illustrate the learning process I hope ThoughtDAG can handle: entering a branch along a question without…

Thank you for carefully reviewing the repo and demo; this suggestion is very insightful. Currently, the node sidebar already has a context list grouped by material, reference, and …

Thank you for taking the time to inspect this so carefully. You were right, and I treated it as an urgent security issue. The updated version fixed the mentioned problem. All macOS…

Thank you!

Thank you for your feedback! Just want to know. What would be the smallest useful integration for you: allowing the host tool to read the currently selected context, or bidirection…

Yes, that is exactly the failure mode I care about and drove me to develop ThoughtDAG! In ThoughtDAG, removing that edge excludes the detail from the next request without deleting …

Not directly today. ThoughtDAG currently runs as a standalone local app. If you mean letting a Replit agent read selected graph context and write its results back as nodes, that wo…