Avai – your first AI antivirus
Avai is a new open-source AI antivirus solution designed for macOS and Linux. It utilizes host telemetry and a large language model to classify threats based on various data sources. The system allows users to monitor their machines without requiring extensive privileges or cloud control.
- ▪Avai captures data from 26 different aspects of a host on macOS and 21 on Linux, including processes and file integrity.
- ▪The system enriches findings with up to 17 threat intelligence sources and provides verdicts on the status of each finding.
- ▪Users can run Avai with minimal setup, producing a populated database and a user-friendly dashboard for monitoring.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,709 of its stories.
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 | GitHub |
| Canonical URL | https://github.com/iklobato/avai |
| Publication time | Sat, 30 May 2026 02:11:14 +0000 |
| Retrieval time | 2026-05-30T02:15:57.958Z |
| Last seen | 2026-05-30T02:15:57.958Z |
| 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 | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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
avai Know what's actually running on your machines. Open-source host telemetry + LLM threat classifier. One docker run. avai snapshots 26 corners of your host on macOS (21 on Linux) — processes, USB, persistence, file integrity, browser extensions, exec events — enriches each new finding with up to 17 threat-intel sources (VirusTotal, MalwareBazaar, URLhaus, CISA KEV, Shodan, AbuseIPDB, OSV, NVD, …), and lets a Claude-class LLM tell you which ones are worth caring about. Verdicts come back as malicious / suspicious / unknown / benign with a MITRE-aligned category, a confidence, and a one-line remediation. No agent contract, no SIEM, no cloud control plane. Dedup by content hash — the same artifact is never sent to the LLM twice.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.