I built Anchor. The open-source ontology layer for AI agents
The institutional memory of every organization Open protocol for organizational semantic models Every organization runs on data spread across systems that were never built to share a vocabulary. ERP, exports, spreadsheets, and documents each tell a partial story; without a shared layer of meaning, humans argue over definitions and agents invent new ones every session. Anchor does not move data or replace systems.
- ▪The institutional memory of every organization Open protocol for organizational semantic models Every organization runs on data spread across systems that were never built to share a vocabulary.
- ▪ERP, exports, spreadsheets, and documents each tell a partial story; without a shared layer of meaning, humans argue over definitions and agents invent new ones every session.
- ▪Anchor does not move data or replace systems.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,547 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/trybacked/anchor |
| Publication time | Fri, 18 Sep 2026 14:43:52 +0000 |
| Retrieval time | 2026-09-18T14:53:46.133Z |
| Last seen | 2026-09-18T14:53:46.133Z |
| 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 | 9QxqGfFzc1p4 · 2 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
The institutional memory of every organization Open protocol for organizational semantic models Every organization runs on data spread across systems that were never built to share a vocabulary. ERP, exports, spreadsheets, and documents each tell a partial story; without a shared layer of meaning, humans argue over definitions and agents invent new ones every session. Anchor does not move data or replace systems. It builds the ontology layer above them — the same primitive enterprise platforms treat as foundational: map sources to entities, wire relations, capture business definitions, and govern what is true with provenance and confidence. That layer is institutional memory when it is written down, versioned, and shared. The output is model.yaml: a committable semantic model.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.