Show HN: Local note engine uses LLM to organize notes into a knowledge graph
NoteCast is a local engine designed to organize notes into a knowledge graph by summarizing and extracting keywords. It employs a three-stage LLM pipeline to categorize notes into themes and subtopics. The project is still in development, with plans for additional features and improvements.
- ▪NoteCast automatically summarizes and organizes notes into a knowledge graph.
- ▪The system uses a three-stage LLM pipeline to assign themes and subtopics to notes.
- ▪Users can configure various LLM providers and set base themes for better organization.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,972 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/AlexWasHeree/NoteCast |
| Publication time | Sun, 24 May 2026 22:11:14 +0000 |
| Retrieval time | 2026-05-24T22:22:34.899Z |
| Last seen | 2026-05-24T22:22:34.899Z |
| 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 | P6MUhwIZ5v_H |
| 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
What is NoteCast NoteCast is a local engine that enriches raw notes and organizes them into an evolving knowledge graph. Each note is automatically summarized, keyword-extracted, and embedded before it reaches the organization stage. From there, a three-stage LLM pipeline assigns it to themes, splits those themes into subtopics as they grow and rewires connections across the graph as patterns emerge. Why Im Building it I have built it until now because i like to take notes, randomly and for different purposes, but I dislike keeping track of them and also any process other than take the note itself, such as categorize or organize them. Right now the code is not stable, but usable. Might have a lot of bugs and code smells and I am working on it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.