Show HN: An open-source control plane for your company's AI agents
AgenticOS One place to build, run and govern your company's AI agents. Self-hosted and open source — on your Postgres, in your Docker, under your domain. The OS in the name is a claim we make good on: seven functions, seven mechanisms.
- ▪AgenticOS One place to build, run and govern your company's AI agents.
- ▪Self-hosted and open source — on your Postgres, in your Docker, under your domain.
- ▪The OS in the name is a claim we make good on: seven functions, seven mechanisms.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,910 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/vstorm-co/agenticos |
| Publication time | Mon, 14 Sep 2026 23:16:39 +0000 |
| Retrieval time | 2026-09-14T23:26:51.547Z |
| Last seen | 2026-09-14T23:26:51.547Z |
| 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 | Lyc2FB12jpyd · 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
AgenticOS One place to build, run and govern your company's AI agents. Self-hosted and open source — on your Postgres, in your Docker, under your domain. The OS in the name is a claim we make good on: seven functions, seven mechanisms. Quick start · Screens · Presentation · Docs · Why an OS · Comparison English · Polski · Deutsch · Español A company ends up with agents in five places and cannot answer four questions: what do we run, what did it cost, what did it touch, and who said it could. AgenticOS is one place to build them and one set of books for all of them. The harness, as a product: skills, context files — AGENTS.md as a page — MCP at registry scale, automations on a schedule or a trigger, and a budget that stops a run before the model call.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.