# chenkezhen480/dsh-world > A DSH plugin that gives a virtual companion memory, its own home and daily routine: it keeps a diary, decides what to do on its own, and can reach out to you first. It uses only DSH's built-in extension APIs without modifying the host. - Magnitude: 4.4 out of 10 — Early signal - Stars: 127 total · +5 stars measured 2026-10-26, 10:00–11:34 UTC, ≈ 34 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · License: MIT · Created: 2026-10-24 · Last push: 2026-10-26 - GitHub: https://github.com/chenkezhen480/dsh-world · Page: https://gitnova.dev/en/r/chenkezhen480/dsh-world ## Useful for - Configure the companion's persona and memory via the World Console in DSH settings - Connect a desktop pet or other local app to the companion through the bridge protocol - Hook up WeChat as a separate module so the companion can chat on its own ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 10:00–11:34: 122 → 127 stars (+5). This is the change over that interval. - Estimated end-of-day forecast: about +34 stars, using observed gains and the previous day. - The repository is 2 days old and already has 127 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #188. ## 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: 3 - Issues and pull requests: 7 - Watchers: 0 - Average over the last week: 47 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 3 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-24 … 2026-10-26: 5, 102, 5 ## Spotted in now - Top new repositories this week: #188 ## More in this category 1. **AgriciDaniel/claude-seo** — 8.8 · Breakout · AI agents · Python · +874 stars measured 2026-10-26, 00:11–11:32 UTC, ≈ 1,622 by evening SEO analysis plugin for Claude Code: 26 sub-skills and 19 agents run in parallel across technical SEO, E-E-A-T, Schema.org, GEO/AEO, local and international SEO, producing a prioritized action plan. Full card: https://gitnova.dev/en/r/AgriciDaniel/claude-seo.md 2. **makecindy/cindy** — 8.3 · Breakout · AI agents · TypeScript · +822 stars measured 2026-10-26, 00:11–11:32 UTC, ≈ 1,501 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 3. **TauricResearch/TradingAgents** — 8.0 · Breakout · AI agents · Python · +661 stars measured 2026-10-26, 00:12–11:32 UTC, ≈ 1,300 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 4. **morganlinton/BeautifulRust** — 7.7 · Early signal · AI agents · Python · +282 stars measured 2026-10-26, 00:11–11:32 UTC, ≈ 573 by evening A Claude Code plugin with a rust-best-practices skill that teaches Claude to write idiomatic, robust Rust. The skill loads automatically whenever a task involves Rust, cargo, crates, the borrow checker, clippy, or .rs files. Full card: https://gitnova.dev/en/r/morganlinton/BeautifulRust.md 5. **HKUDS/DeepTutor** — 7.4 · Breakout · AI agents · Python · +537 stars measured 2026-10-26, 00:13–11:32 UTC, ≈ 891 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 --- 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 2026-10-26 11:52 UTC, updated every 30 minutes.