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ACR, a local-first AI orchestration runtime (memory, skills, agents

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ACR, a local-first AI orchestration runtime (memory, skills, agents
TL;DR · WeSearch summary

ACR: Adaptive Cognitive Runtime acr-runtime.netlify.app A local-first AI orchestration runtime that runs entirely on your own machine. Persistent memory, a skill system, task/agent orchestration, and multi-provider model routing, all on SQLite, with no cloud account, API key, or telemetry required to try it. Point it at your own local Ollama models when you want real inference, or keep it on the zero-config mock provider indefinitely; ACR never assumes you're online or paying for anything. pip install acr-runtime acr db upgrade && acr doctor acr run "say hello" Full specification: ACR_MASTER_SYSTEM_PROMPT.md.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 2,776 of its stories.

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Record

Original publisherGitHub
Canonical URLhttps://github.com/hbkdad/arc
Publication timeWed, 29 Jul 2026 15:16:17 +0000
Retrieval time2026-07-29T15:25:57.248Z
Last seen2026-07-29T15:25:57.248Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterXfTWuhjdHl9z · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Machine-readable
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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
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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

ACR: Adaptive Cognitive Runtime acr-runtime.netlify.app A local-first AI orchestration runtime that runs entirely on your own machine. Persistent memory, a skill system, task/agent orchestration, and multi-provider model routing, all on SQLite, with no cloud account, API key, or telemetry required to try it. Point it at your own local Ollama models when you want real inference, or keep it on the zero-config mock provider indefinitely; ACR never assumes you're online or paying for anything. pip install acr-runtime acr db upgrade && acr doctor acr run "say hello" Full specification: ACR_MASTER_SYSTEM_PROMPT.md. Current implementation state: docs/ARCHITECTURE.md, the single source of truth for what's actually built, so nothing here duplicates that status and drifts stale.

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

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