LLM library that builds itself, a converter for nearly every file
Adding a module used to mean wiring it into five places and arguing with each one. Now the foundations are there, and a new idea has somewhere to go on day one.The clearest proof is the Library. We sat down with a rough idea: point VEKTOR at a folder of books and notes, and get something you would want to open every day.
- ▪Adding a module used to mean wiring it into five places and arguing with each one.
- ▪Now the foundations are there, and a new idea has somewhere to go on day one.The clearest proof is the Library.
- ▪We sat down with a rough idea: point VEKTOR at a folder of books and notes, and get something you would want to open every day.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,091 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 | Medium |
| Canonical URL | https://medium.com/@vektormemory/vektor-v1-9-8-b023b9b8a654 |
| Publication time | Wed, 30 Sep 2026 23:07:25 +0000 |
| Retrieval time | 2026-09-30T23:17:05.641Z |
| Last seen | 2026-09-30T23:17:05.641Z |
| 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 | FWCOIyJWmbwy · 1 stories |
| 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
LLMAI AgentGenerative Ai ToolsBooksVEKTOR v1.9.8 is live: an LLM library that builds itself, a converter for nearly every file, and security you can actually seeVektor Memory10 min read·Just now--ListenSharePress enter or click to view image in full sizeLocal-first memory for AI agents, now with your books, your documents and a much harder look at what your AI reads.We shipped more in the last month than we did in the previous twelve.Every system in VEKTOR now lives in one SDK and follows the same rules. Adding a module used to mean wiring it into five places and arguing with each one. Now the foundations are there, and a new idea has somewhere to go on day one.The clearest proof is the Library.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Medium.
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