# MaryCache/imozuru > A Claude Code skill that researches a topic by following a chain of citations, links and authors from unfamiliar terms to primary sources, saving the originals instead of summarizing them. - Magnitude: 2.1 out of 10 — Steady - Stars: 112 total · +9 stars measured 2026-10-15, 14:52–16:02 UTC, ≈ 13 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-13 · Last push: 2026-10-15 - GitHub: https://github.com/MaryCache/imozuru · Page: https://gitnova.dev/en/r/MaryCache/imozuru ## Useful for - Explore an unfamiliar field by building a map of terms, key people and venues - Collect primary sources into a sources folder and generate an HTML page of verbatim extracts - Track new posts by tags on Qiita, Zenn, note, YouTube and arXiv via RSS ## Why it’s here - Star-counter measurements on 2026-10-15 (UTC), 14:52–16:02: 103 → 112 stars (+9). This is the change over that interval. - Estimated end-of-day forecast: about +13 stars, using observed gains and the previous day. - The repository is 2 days old and already has 112 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #185. ## 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: 5 - Issues and pull requests: 3 - Watchers: 0 - Average over the last week: 11 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 8 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-13 … 2026-10-15: 6, 13, 9 ## Spotted in now - Top new repositories this week: #185 ## More in this category 1. **morluto/rea** — 7.4 · Breakout · AI agents · TypeScript · +21,556 stars measured 2026-10-15, 00:20–15:50 UTC, ≈ 32,096 by evening A reverse-engineering tool that lets AI agents inspect apps and native binaries: it connects agents to Hopper or Ghidra via MCP and CLI, helping explain how a feature works and rebuild it in your own project. Full card: https://gitnova.dev/en/r/morluto/rea.md 2. **outcrawlai/scout** — 6.9 · Early signal · AI agents · TypeScript · +156 stars measured 2026-10-15, 00:20–15:50 UTC, ≈ 283 by evening Open-source browser agent in TypeScript: takes a task in plain words, opens a real browser, reads pages, clicks, types and scrolls until the job is done, then returns the answer. Works with any chat completions API service or a local model. Full card: https://gitnova.dev/en/r/outcrawlai/scout.md 3. **onehumanbeing/esp32-iphone-agent** — 6.2 · Peaking · AI agents · C · +251 stars measured 2026-10-15, 00:20–15:50 UTC, ≈ 378 by evening Lets an AI model drive a real iPhone via an ESP32-S3: the screen is mirrored over AirPlay while the board emulates a USB mouse and keyboard. No Mac, Xcode, Apple developer account or jailbreak required. Full card: https://gitnova.dev/en/r/onehumanbeing/esp32-iphone-agent.md 4. **K-Dense-AI/scientific-agent-skills** — 6.1 · Breakout · AI agents · Python · +847 stars measured 2026-10-15, 00:21–15:50 UTC, ≈ 1,217 by evening A library of 166 ready-to-use skills for AI agents covering bioinformatics, chemoinformatics, medicine, materials science and more, with access to 100+ scientific databases. Compatible with Cursor, Claude Code, Codex and the open Agent… Full card: https://gitnova.dev/en/r/K-Dense-AI/scientific-agent-skills.md 5. **Graphicle-AI/graphicle** — 6.1 · Early signal · AI agents · Rust · +32 stars measured 2026-10-15, 00:21–15:50 UTC, ≈ 58 by evening Graphicle is a Rust program that builds a code graph of your repository and stores project memory (docs, decisions, past agent sessions), returning cited excerpts with exact files and lines to coding agents. It runs locally over MCP with… Full card: https://gitnova.dev/en/r/Graphicle-AI/graphicle.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 2026-10-15 16:10 UTC, updated every 30 minutes.