I built a canvas where LLM chats become an editable map
An infinite canvas where LLM conversations grow into an editable thought graph. ▶ Try it live no install, no signup; the example canvas needs no key 中文 · Quick start · More capabilities · Models · Cost & privacy The one rule Wires are the context. What the model sees is exactly what wires into the node. In action One principle behind every gesture: the human in the loop, the model on the wires.
- ▪An infinite canvas where LLM conversations grow into an editable thought graph. ▶ Try it live no install, no signup; the example canvas needs no key 中文 · Quick start · More capabilities · Models · Cost & privacy The one rule Wires are the c
- ▪What the model sees is exactly what wires into the node.
- ▪In action One principle behind every gesture: the human in the loop, the model on the wires.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/chenxiachan/thoughtdag |
| Publication time | Sun, 26 Jul 2026 11:42:22 +0000 |
| Retrieval time | 2026-07-26T11:58:02.358Z |
| Last seen | 2026-07-26T11:58:02.358Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | S3s3Gp1K2GZF |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
ThoughtDAG Your thinking deserves a map. An infinite canvas where LLM conversations grow into an editable thought graph. ▶ Try it live no install, no signup; the example canvas needs no key 中文 · Quick start · More capabilities · Models · Cost & privacy The one rule Wires are the context. What the model sees is exactly what wires into the node. Editing the graph edits the model's memory. In action One principle behind every gesture: the human in the loop, the model on the wires. No autonomous agent redraws your graph. ✂️ Delete one edge, get a different answer The model sees only what wires in. Delete the noise edge, ask again, and the same prompt returns a clean answer. Reproduce it in chapter ③ of the example canvas. 📖 Read a paper into a map Select a passage, ask right there.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.