# Ayi914/paperchecker > A local CLI agent for Linux that runs a Qwen3-14B model to help you review your own papers, with local tool use, paper retrieval via RAG and MCP support, keeping data offline. - Magnitude: 4.3 out of 10 — Early signal - Stars: 83 total · +1 star measured 2026-10-16, 02:55–05:07 UTC, ≈ 52 by evening - Star trust: star growth looks organic - Category: AI agents · Language: Python · License: MIT · Created: 2026-10-15 · Last push: 2026-10-15 - GitHub: https://github.com/Ayi914/paperchecker · Page: https://gitnova.dev/en/r/Ayi914/paperchecker ## Useful for - Index your own PDFs into data/knowledge and ask the agent to summarize their key ideas with sources. - Run a one-off question non-interactively with 'scripts/start.sh "..." --quiet' for scripts or notes. - Keep a multi-window session with checkpoint enabled and a fixed thread-id to continue the same paper review. ## Why it’s here - Star-counter measurements on 2026-10-16 (UTC), 02:55–05:07: 82 → 83 stars (+1). This is the change over that interval. - Estimated end-of-day forecast: about +52 stars, using observed gains and the previous day. - The repository is 1 day old and already has 83 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## 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 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 68 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 2 days (oldest → newest, today is partial) 2026-10-15 … 2026-10-16: 83, 1 ## More in this category 1. **anthropics/claude-plugins-official** — 8.0 · Breakout · AI agents · Python · +279 stars measured 2026-10-16, 00:05–05:06 UTC, ≈ 1,229 by evening Official Anthropic-managed directory of Claude Code plugins: internal plugins plus third-party ones from partners, installable via the built-in marketplace. Full card: https://gitnova.dev/en/r/anthropics/claude-plugins-official.md 2. **onehumanbeing/esp32-iphone-agent** — 6.7 · Peaking · AI agents · C · +166 stars measured 2026-10-16, 00:05–05:06 UTC, ≈ 545 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 3. **ruvnet/ruflo** — 6.6 · Breakout · AI agents · TypeScript · +140 stars measured 2026-10-16, 00:05–05:06 UTC, ≈ 581 by evening A meta-harness for Claude Code and Codex that adds 100+ agents, swarm coordination, self-learning memory, cross-machine federation, and vector RAG integration. Aimed at developers who want agents to plan, remember, and collaborate. Full card: https://gitnova.dev/en/r/ruvnet/ruflo.md 4. **heqiangdiao-wq/AI-Cross-Border-Ecommerce-Agent-Toolkit** — 6.6 · Early signal · AI agents · Python · +46 stars measured 2026-10-16, 00:05–05:06 UTC, ≈ 196 by evening A toolkit of 7 AI agent workflows built from prompts and templates that turn cross-border ecommerce SOPs for Shopee and Mercado Livre into repeatable operations: market research, product strategy, listing, images, video, ads and review… Full card: https://gitnova.dev/en/r/heqiangdiao-wq/AI-Cross-Border-Ecommerce-Agent-Toolkit.md 5. **morluto/rea** — 6.5 · Peaking · AI agents · TypeScript · +6,030 stars measured 2026-10-16, 00:04–05:06 UTC, ≈ 25,617 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 --- 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 2026-10-16 05:18 UTC, updated every 30 minutes.