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AI that sees your screen, listens to your conversations and tells you what to do
13.6k 2.6k 1.7k openLast shipped 3m ago
AI that sees your screen, listens to your conversations and tells you what to do
The week focused on stabilizing the listening and capture infrastructure, with proven capture-window union logic now enabled in production and several fixes to prevent data loss during merge operations. On the user-facing side, mobile and desktop got reliability improvements: Bluetooth diagnostics…
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Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in omi's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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fix(backend): hide finished rule-discard noise across conversation reads (#20799)
fix(release): platform-tag mobile changelog entries and reject cross-platform store notes (#20840)
fix(admin): keep onboarding precompute from flapping on PostHog blips (#20841)
Episode-centered conversation notes with evidence provenance (flag off) (#20692)
feat(backend): split X connector sync into its own Cloud Run Job (#9298) (#11183)
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.
