Local, Open source AI meeting recorder that sees and hears everything
Lumi is a command‑line AI meeting recorder that runs locally on macOS. It captures audio and video without requiring cloud services, accounts, or subscriptions, keeping all data on the user's machine unless exported. The software is open source and hosted on GitHub.
- ▪Lumi operates entirely on the user's Mac, avoiding any cloud transmission of recordings.
- ▪The tool requires no account or subscription, offering a privacy‑focused alternative to typical meeting recorders.
- ▪It is distributed as an open‑source project, allowing users to inspect its code on GitHub.
- ▪Users can start recording with a simple "lumi record start" command in the terminal.
2 outlets in our directory ran this story, first to last over 1 hour. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,378 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=49150911 |
| Publication time | Mon, 03 Aug 2026 03:29:55 +0000 |
| Retrieval time | 2026-08-03T03:45:46.586Z |
| Last seen | 2026-08-03T03:45:47.087Z |
| 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 | 2xRGEByyMI7Z · 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
I wanted the simplest possible AI meeting recorder that sees and hears your meetings, workflows etc.No cloud. No account. No subscription.Lumi a small CLI that uses the features already built into macOS.Everything stays on your Mac. Your recordings never leave your machine unless you choose to.It’s fully open source, so you can inspect exactly what it’s doing instead of trusting a black box.Simply run “lumi record start” once.If you’re looking for a low key, private alternative to cloud meeting recorders, check out lumi. I’d love your feedback.https://github.com/puremetricsai/lumi
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.