# yzlin286-wq/Deepscient

> This is a research workbench that structures the entire process from topic selection to publication, ensuring full data traceability and experiment reproducibility.

- Magnitude: 3.5 out of 10 — Early signal
- Stars: 196 total · +2 stars measured 2026-10-28, 00:03–02:10 UTC, ≈ 40 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: JavaScript · License: MIT · Created: 2026-10-21 · Last push: 2026-10-25
- GitHub: https://github.com/yzlin286-wq/Deepscient · Homepage: deepscient.com · Page: https://gitnova.dev/en/r/yzlin286-wq/Deepscient

## Useful for

- Run the full scientific research cycle following 12 stages.
- Verify experiment reproducibility by logging all parameters.
- Use built-in tools for literature review and report writing.

## Why it’s here

- Star-counter measurements on 2026-10-28 (UTC), 00:03–02:10: 194 → 196 stars (+2). This is the change over that interval.
- Estimated end-of-day forecast: about +40 stars, using observed gains and the previous day.
- Over the last two days the pace is 2.5× that of the previous 5 days.
- The repository is 7 days old and already has 196 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.

## 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: 0
- Issues and pull requests: 3
- Watchers: 0
- Average over the last week: 34 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0
- Latest release: v0.2.2 (2026-10-25)

## Stars per day, last 8 days (oldest → newest, today is partial)

2026-10-21 … 2026-10-28: 0, 1, 0, 40, 44, 66, 45, 2

## Magnitude by day, last 3 days

10-26 2.8, 10-27 4.0, 10-28 3.6

## More in this category

1. **HKUDS/DeepTutor** — 8.8 · Breakout · AI agents · Python · +208 stars measured 2026-10-28, 00:01–02:08 UTC, ≈ 1,785 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** — 8.2 · Breakout · AI agents · +228 stars measured 2026-10-28, 00:01–02:08 UTC, ≈ 1,521 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** — 7.9 · Breakout · AI agents · +199 stars measured 2026-10-28, 00:02–02:08 UTC, ≈ 1,606 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** — 7.7 · Breakout · AI agents · TypeScript · +107 stars measured 2026-10-28, 00:02–02:08 UTC, ≈ 874 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. **CopilotKit/OpenDuet** — 7.5 · Early signal · AI agents · TypeScript · +87 stars measured 2026-10-28, 00:02–02:08 UTC, ≈ 608 by evening
   A self-hosted proactive AI agent built on OpenBot and CopilotKit: it starts work on its own, runs in its own browser, and asks for approval before acting.
   Full card: https://gitnova.dev/en/r/CopilotKit/OpenDuet.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 02:20 UTC, updated every 30 minutes.