Demios – AI-native workspace for data capture, workflow automation and reporting

Jul 24, 2026 · 8:12 PM UTC ·3 min read · 0 reactions · 0 comments · 16 views

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Demios

#demios #ai-native #workspace #data #capture

TL;DR · WeSearch summary

My team could not tell the difference.NKNiloofar KarimiHead of Product, beta cohortPrivacyYour data never leaves you.We do not train on your data. You hold the keys.Exportable.Everything Twin learns is editable and auditable, so nothing is a black box.AgentsTalk to one Twin. Specialists research, write, query, generate, automate, and return the work in your voice.01 / 11TwinOrchestratorNeumannClassifies intent, plans the route, and delegates work to the right specialist agents.←→ConnectorsPlug into everything you already use.77 first-party connectors.

Key facts

▪My team could not tell the difference.NKNiloofar KarimiHead of Product, beta cohortPrivacyYour data never leaves you.We do not train on your data.
▪You hold the keys.Exportable.Everything Twin learns is editable and auditable, so nothing is a black box.AgentsTalk to one Twin.
▪Specialists research, write, query, generate, automate, and return the work in your voice.01 / 11TwinOrchestratorNeumannClassifies intent, plans the route, and delegates work to the right specialist agents.←→ConnectorsPlug into everything y

About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,306 of its stories.

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Original article

Demios

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Story provenance

Source · retrieval · rights · ranking — open for full record

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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	Demios
Canonical URL	https://demios.io/
Publication time	Fri, 24 Jul 2026 20:12:07 +0000
Retrieval time	2026-07-24T20:46:34.476Z
Last seen	2026-07-24T20:46:34.476Z
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	QRAhe7vJ3egD
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)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

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.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

ProductWorkspaceTwinAgentsPricingSign inGet started — free Now in private beta · v0.7Your work,your AI,your model.Demios is the local-first AI workspace built around your Twin — a digital you that learns from how you work, delegates to a roster of specialist agents, and keeps your data under your control.Get started — free How Twin works OurImpact2.4m³ Water Saved0.16kg CO2 Saved1250K Tokens3.25kWh SavedImpact globe · live sustainability metrics01 · User-owned AIRun AI on your device, or bring your own key.Demios lets you pair Demios Edge for local model execution or connect your own sandbox AI API keys.

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Excerpt limited to ~120 words for fair-use compliance. The full article is at Demios.

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