# Skyvern-AI/skyvern > Skyvern automates browser-based workflows using LLMs and computer vision, extending Playwright with AI commands and a no-code workflow builder. It works on sites without XPath selectors and is resilient to layout changes. - Magnitude: 1.5 out of 10 — Steady - Stars: 23,293 total · +1 star measured 2026-10-28, 12:52–16:06 UTC, ≈ 2 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: AGPL-3.0 · Created: 2024-02-28 · Last push: 2026-10-28 - GitHub: https://github.com/Skyvern-AI/skyvern · Homepage: https://www.skyvern.com · Page: https://gitnova.dev/en/r/Skyvern-AI/skyvern ## Useful for - Run automated form filling on an unseen website via page.act - Extract structured data from a page via page.extract with a JSON schema - Build a no-code workflow for repetitive actions across many websites ## Why it’s here - Star-counter measurements on 2026-10-28 (UTC), 12:52–16:06: 23292 → 23293 stars (+1). This is the change over that interval. - Estimated end-of-day forecast: about +2 stars, using observed gains and the previous day. - New listing on mcp.so. - Hacker News: “Progressive disclosure in agents to make them 2.3x faster” — 21 points, 3 days ago. ## 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: 2,224 - Issues and pull requests: 9,044 - Watchers: 101 - Average over the last week: 8 per day - Usual pace: 8 per day - Stars in the last hour (measured): 1 - Latest release: v1.0.56 (2026-10-14) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-29 … 2026-10-28: 11, 10, 9, 11, 5, 6, 5, 8, 8, 7, 15, 13, 4, 8, 7, 12, 12, 7, 4, 7, 4, 9, 12, 8, 9, 11, 8, 12, 4, 1 ## Hacker News - Progressive disclosure in agents to make them 2.3x faster — 21 points, 2 comments: https://news.ycombinator.com/item?id=50222826 ## Spotted in now - New listing on mcp.so ## More in this category 1. **HKUDS/DeepTutor** — 9.0 · Breakout · AI agents · Python · +1,725 stars measured 2026-10-28, 00:01–15:55 UTC, ≈ 2,527 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. **unclebob/ub-mode** — 8.5 · Breakout · AI agents · +1,239 stars measured 2026-10-28, 00:02–15:55 UTC, ≈ 1,842 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 3. **elayadesign/ai-design-skills** — 8.5 · Breakout · AI agents · +1,519 stars measured 2026-10-28, 00:01–15:55 UTC, ≈ 2,205 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 4. **CopilotKit/OpenDuet** — 7.9 · Early signal · AI agents · TypeScript · +661 stars measured 2026-10-28, 00:02–15:55 UTC, ≈ 952 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 5. **nightly-labs/openbot** — 7.9 · Breakout · AI agents · TypeScript · +621 stars measured 2026-10-28, 00:02–15:55 UTC, ≈ 929 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 --- 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 16:10 UTC, updated every 30 minutes.