# ChannelCooperStart/capri-ai

> Capri is a Windows desktop app that acts as an agent layer on top of Claude Code, Codex, Antigravity and other AI assistants, letting you manage files, projects and tasks on your machine in plain language.

- Magnitude: 6.4 out of 10 — Early signal
- Stars: 169 total · +1 star measured 2026-10-28, 00:09–00:44 UTC, ≈ 158 by evening
- Star trust: star growth looks organic
- Category: AI agents · Created: 2026-10-27 · Last push: 2026-10-27
- GitHub: https://github.com/ChannelCooperStart/capri-ai · Page: https://gitnova.dev/en/r/ChannelCooperStart/capri-ai

## Useful for

- Clean up the Downloads folder and sort files by type with approval
- Find and fix a bug in a project, running checks after the patch
- Set up a recurring weekly backup of the Documents folder

## Why it’s here

- Star-counter measurements on 2026-10-28 (UTC), 00:09–00:44: 168 → 169 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +158 stars, using observed gains and the previous day.
- The repository is 1 day old and already has 169 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #109.
- About 280 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 43
- Issues and pull requests: 0
- Watchers: 11
- Average over the last week: 164 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1
- Latest release: 1.0.0 (2026-10-27)

## Stars per day, last 2 days (oldest → newest, today is partial)

2026-10-27 … 2026-10-28: 169, 1

## Magnitude by day, last 2 days

10-27 1.3, 10-28 6.5

## Spotted in now

- Top new repositories this week: #109

## More in this category

1. **HKUDS/DeepTutor** — 8.6 · Breakout · AI agents · Python · +59 stars measured 2026-10-28, 00:01–00:44 UTC, ≈ 1,551 by evening
   A lifelong personalized AI tutor with long-term memory: builds learning paths, reads documents and books, and runs practice and assessments via a multi-agent system and RAG.
   Full card: https://gitnova.dev/en/r/HKUDS/DeepTutor.md
2. **elayadesign/ai-design-skills** — 7.8 · Breakout · AI agents · +57 stars measured 2026-10-28, 00:01–00:44 UTC, ≈ 1,172 by evening
   A collection of markdown-based design skills for AI coding tools like Claude Code, Cursor, Codex and Windsurf, covering landing page design and turning static designs into animated showcases.
   Full card: https://gitnova.dev/en/r/elayadesign/ai-design-skills.md
3. **unclebob/ub-mode** — 7.8 · Breakout · AI agents · +66 stars measured 2026-10-28, 00:02–00:44 UTC, ≈ 1,403 by evening
   An agent skill that enforces disciplined software engineering practices when writing or changing code: TDD, root-cause fixes, behavior testing, and quality gates via mutation testing. Installed as SKILL.md into the agent's skills directory.
   Full card: https://gitnova.dev/en/r/unclebob/ub-mode.md
4. **nightly-labs/openbot** — 7.6 · Breakout · AI agents · TypeScript · +32 stars measured 2026-10-28, 00:02–00:44 UTC, ≈ 755 by evening
   A local-first desktop workspace for persistent AI teammates: each agent (Codex, Claude, Grok, and others) gets its own workspace, task queues, file sharing, an embedded browser, and agent-to-agent messaging.
   Full card: https://gitnova.dev/en/r/nightly-labs/openbot.md
5. **stormydayy/halo-overlay** — 7.5 · Early signal · AI agents · Python · +0 stars measured 2026-10-28, 00:02–00:44 UTC, ≈ 474 by evening
   Halo is a lightweight open-source AI overlay that listens to live conversations, sees your screen, and suggests what to say or do in the moment. It works with any OpenAI-compatible model and supports local Whisper for speech recognition.
   Full card: https://gitnova.dev/en/r/stormydayy/halo-overlay.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-28 00:56 UTC, updated every 30 minutes.