# HKUDS/AutoSwarm > A plug-in that unifies multiple AI coding and assistant agents into one coordinated team, routing tasks, sharing context and synthesizing results. Works with Codex, Claude Code, Cursor, Copilot CLI and similar hosts. - Magnitude: 4.2 out of 10 — Breakout - Stars: 2,025 total · +5 stars measured 2026-10-27, 11:42–13:23 UTC, ≈ 17 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-07-01 · Last push: 2026-10-27 - GitHub: https://github.com/HKUDS/AutoSwarm · Homepage: https://arxiv.org/abs/2610.33048 · Page: https://gitnova.dev/en/r/HKUDS/AutoSwarm ## Useful for - Summarize a folder of documents by dispatching parts of the work to several agents via AutoSwarm - Run a coding task where one agent writes code and another reviews it, sharing context through AutoSwarm - Check which locally installed agents AutoSwarm can detect and probe with autoswarm doctor ## Why it’s here - Star-counter measurements on 2026-10-27 (UTC), 11:42–13:23: 2020 → 2025 stars (+5). This is the change over that interval. - Estimated end-of-day forecast: about +17 stars, using observed gains and the previous day. - Before this, the repository barely got any stars — about 3 per day. - Elevated gains were measured on the last 2 completed UTC days in a row. Continued growth is not guaranteed. - GitHub Trending Python today: #12, +41 stars. - About 10 forks a day — people are taking the code. - Recent forks include notable developers: @dorucioclea (315 followers). ## 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: 366 - Issues and pull requests: 67 - Watchers: 17 - Average over the last week: 25 per day - Usual pace: 5 per day - Stars in the last hour (measured): 4 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-28 … 2026-10-27: 8, 8, 5, 5, 4, 4, 8, 1, 4, 8, 3, 5, 2, 3, 8, 6, 6, 1, 3, 1, 2, 7, 0, 5, 0, 2, 1, 92, 55, 5 ## Spotted in now - GitHub Trending Python today: #12, +41 stars ## More in this category 1. **HKUDS/DeepTutor** — 8.7 · Breakout · AI agents · Python · +1,152 stars measured 2026-10-27, 00:34–13:21 UTC, ≈ 1,915 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. **TauricResearch/TradingAgents** — 8.5 · Breakout · AI agents · Python · +917 stars measured 2026-10-27, 00:34–13:21 UTC, ≈ 1,610 by evening A framework that simulates a trading firm with LLM agents (analysts, researchers, trader, risk manager) debating markets and producing trading decisions. Built for research, not real trading. Full card: https://gitnova.dev/en/r/TauricResearch/TradingAgents.md 3. **makecindy/cindy** — 8.4 · Breakout · AI agents · TypeScript · +711 stars measured 2026-10-27, 00:34–13:21 UTC, ≈ 1,305 by evening Cindy is an open-source AI agent that combines multiple harnesses (Claude Code, Codex), models and tools into one agent working locally with your real files and apps. This repo is the client: Electron desktop and Expo/React Native mobile… Full card: https://gitnova.dev/en/r/makecindy/cindy.md 4. **elayadesign/ai-design-skills** — 8.2 · Breakout · AI agents · +735 stars measured 2026-10-27, 00:34–13:21 UTC, ≈ 1,393 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 5. **t3dotgg/tstack** — 8.2 · Breakout · AI agents · Python · +246 stars measured 2026-10-27, 00:34–13:21 UTC, ≈ 642 by evening A collection of reusable agent skills for Claude Code and Codex that automate pull request workflows, from filing and reviewing to merging, plus peer review by multiple models. Full card: https://gitnova.dev/en/r/t3dotgg/tstack.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 2026-10-27 13:44 UTC, updated every 30 minutes.