# rudderlabs/devbox > An autonomous engineering harness for teams: takes a ticket, plans the change, writes code, runs tests, reviews its own work and opens a draft pull request. Runs on your infrastructure with your model keys. - Magnitude: 5.4 out of 10 — Early signal - Stars: 123 total · +14 stars measured 2026-10-28, 04:14–07:04 UTC, ≈ 83 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · License: MIT · Created: 2026-10-27 · Last push: 2026-10-27 - GitHub: https://github.com/rudderlabs/devbox · Homepage: https://www.rudderstack.com/devbox/ · Page: https://gitnova.dev/en/r/rudderlabs/devbox ## Useful for - Delegate a Linear ticket to the agent and get a draft PR with the implementation - Comment on the PR to have the agent push the fix to the same branch - Deploy the self-hosted harness on Docker Compose or Kubernetes with credential isolation ## Why it’s here - Star-counter measurements on 2026-10-28 (UTC), 04:14–07:04: 109 → 123 stars (+14). This is the change over that interval. - Estimated end-of-day forecast: about +83 stars, using observed gains and the previous day. - The repository is 1 day old and already has 123 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #167. - About 21 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: 6 - Issues and pull requests: 7 - Watchers: 0 - Average over the last week: 102 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 5 - Latest release: v0.1.0 (2026-10-27) ## Stars per day, last 2 days (oldest → newest, today is partial) 2026-10-27 … 2026-10-28: 122, 14 ## Spotted in now - Top new repositories this week: #167 ## More in this category 1. **HKUDS/DeepTutor** — 9.1 · Breakout · AI agents · Python · +776 stars measured 2026-10-28, 00:01–07:04 UTC, ≈ 2,413 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** — 8.5 · Breakout · AI agents · +726 stars measured 2026-10-28, 00:01–07:04 UTC, ≈ 2,106 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. **nightly-labs/openbot** — 8.3 · Breakout · AI agents · TypeScript · +291 stars measured 2026-10-28, 00:02–07:04 UTC, ≈ 977 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 4. **unclebob/ub-mode** — 8.3 · Breakout · AI agents · +580 stars measured 2026-10-28, 00:02–07:04 UTC, ≈ 1,894 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 5. **CopilotKit/OpenDuet** — 7.8 · Early signal · AI agents · TypeScript · +263 stars measured 2026-10-28, 00:02–07:04 UTC, ≈ 789 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 --- 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 07:16 UTC, updated every 30 minutes.