← Back to Explore

git-trend-sync

★ 1

Sync AI trends to your project — auto-discovers trending GitHub repos and matches them to your codebase

PythonAIaiai-agentai-toolsautomationclaude-codedeveloper-toolsgithub-trendsmcpmulti-agentopen-sourceragtrending
Created March 23, 2026Updated March 24, 2026
View on GitHub →

README

<div align="center">

🔄 git-trend-sync

Sync AI trends to your project

GitHub Stars License Python Claude

<br/>

Detects what's actually trending — not just popular — in the AI agent ecosystem

Activity-based scoring + Project-specific recommendations + Claude Code slash commands

📊 Latest Report · 🔧 Setup Guide

</div>

Why This Exists

The AI ecosystem moves fast. New frameworks, tools, and patterns emerge weekly. Yesterday's best practice is today's legacy code.

git-trend-sync keeps your project in sync with what matters. It scans 12 categories of AI repositories, ranks them by real development activity, and tells you — specifically for YOUR codebase — what's worth adopting and what's noise.

Think of it as a daily briefing: "Here's what's actively being built in the AI world, and here's what actually applies to your project."

  • 12 categories tracked — from AI agents to MCP servers, browser automation to voice AI
  • Activity-ranked — sorted by 30-day commits, not just stars
  • Project-aware — scans your code and only recommends what fits your stack
  • Design docs on demand — /trend-apply generates integration plans, not just links

Stop manually browsing GitHub. Let the trends sync to you.

<!-- TREND-START -->

🔥 Today's Top Trending (2026-03-24)

| # | Repository | Category | Activity | Stars | Commits (30d) | |---|-----------|----------|----------|-------|---------------| | 1 | hermes-agent | AI Agent Framework | 🔥 10.0 | 12,034 | 2292 | | 2 | dify | RAG Framework | 🔥 10.0 | 134,238 | 601 | | 3 | goclaw | Multi-Agent | 🔥 10.0 | 1,102 | 654 | | 4 | kilocode | Coding Assistant | 🔥 10.0 | 17,129 | 2482 | | 5 | vllm | AI Infrastructure | 🔥 10.0 | 74,148 | 1069 | | 6 | browser-use | Browser Agent | 🔥 10.0 | 84,122 | 279 | | 7 | awesome-mcp-servers | MCP | 🔥 10.0 | 83,965 | 1366 | | 8 | dagu | AI Workflow | 🔥 10.0 | 3,201 | 199 | | 9 | voicebox | Voice Agent | 🔥 10.0 | 14,086 | 252 | | 10 | WFGY | Knowledge Management | 🔥 10.0 | 1,676 | 912 |

Last updated: 2026-03-24 — Full Report

<!-- TREND-END -->

📋 What is this?

An automated system that tracks development activity across 12 AI agent categories and recommends trending tools that are relevant to your project.

Why activity, not just stars?

| Metric | What it finds | Problem | |--------|--------------|---------| | ⭐ Total stars | Established projects | Misses actively developed new tools | | 🔥 30-day commits | Tools being actively built right now | Catches real momentum |

Three Pipelines

| Pipeline | When | What | |----------|------|------| | 🔍 Trend Collection | Daily (automated) | Collects repos, computes activity scores, generates report | | 🎯 Recommendations | After collection | Scans your project, matches with trends, suggests what's relevant | | 🔬 Deep Analysis | On-demand | Detailed integration design doc for a specific trending repo |

Categories

| Category | Description | |:---------|:------------| | 🧠 AI Agent Framework | General-purpose agent frameworks | | 🔍 RAG Framework | Retrieval-augmented generation | | 🤝 Multi-Agent | Multi-agent orchestration | | 💻 Coding Assistant | AI coding tools | | ⚙️ AI Infrastructure | LLM serving, gateways, inference | | 🌐 Browser Agent | Web browser automation agents | | 🔌 MCP | Model Context Protocol ecosystem | | 🔄 AI Workflow | Visual AI workflow builders | | 🎙️ Voice Agent | Voice/realtime AI agents | | 🧩 Knowledge Management | Knowledge graphs, vector DBs, memory | | 📊 AI Observability | LLM monitoring, evaluation, prompts | | 🖥️ Computer Use Agent | Desktop/OS automation agents |

🚀 Quick Start

Prerequisites

  • Python 3.10+
  • GitHub Personal Access Token

Setup

git clone https://github.com/JSLEEKR/git-trend-sync.git
cd git-trend-sync
pip install -r requirements.txt
echo "GITHUB_TOKEN=ghp_your_token_here" > .env

Run

# Full pipeline (collect → trending → analysis → report → recommendations)
python run.py

# Skip analysis
python run.py --skip-analysis

# Recommendations for a specific project
python run.py --project /path/to/my/project

# Skip recommendations
python run.py --no-recommend

# Regenerate report from existing data
python run.py --report-only

# Deep analysis for a specific repo
python src/apply.py --repo ragflow --project /path/to/my/project

⚡ Claude Code Slash Commands

Install slash commands by placing this repo's .claude/commands/ in your project:

/trend — View today's trends

Shows a summary of trending repos: new entries, rising repos, top performers.

/trend-apply — Smart project recommendations

Scans your current project's code, matches against today's trending data, and:

  • If relevant trends found → generates a design document with integration plan
  • If nothing relevant → tells you "nothing today" with explanation

Design docs are saved to docs/trend-apply/YYYY-MM-DD-<repo>.md with:

  • Why the trending repo matters to your project
  • Which files would be affected
  • Migration path with code examples
  • Risks, effort estimate, and verdict (adopt/wait/skip)

📊 How Trending Works

Repos are ranked by development activity — the number of commits in the last 30 days. This surfaces tools that are actively being built and improved, not just popular repos that stopped evolving.

Filters

  • Stars > 1,000 — eliminates noise from toy projects
  • Pushed within 7 days — must be recently active
  • 30-day commit count — primary ranking signal

Report Format

| # | Repository | Activity | Stars | Commits (30d) | Last Push | Age | Status | |---|-----------|----------|-------|---------------|-----------|-----|--------| | 1 | some-repo | 🔥 9.2 | 5,230 | 347 | 1d ago | 85d | NEW ENTRY | | 2 | other-repo | 📈 6.8 | 45,000 | 189 | 3d ago | 2y | ACTIVE |

🎯 Project Recommendations

Add git-trend-sync.yaml to your project root for targeted recommendations:

project:
  name: "My AI App"
  description: "A conversational AI assistant with RAG pipeline"
  tech_stack: ["python", "fastapi", "langchain"]
  interests: ["better RAG", "agent orchestration", "code generation"]
  exclude: ["java", "go"]

Without config, the scanner auto-detects your stack from requirements.txt, package.json, etc.

📁 Project Structure

git-trend-sync/
├── src/
│   ├── collect.py        # GitHub data collection (stars>1000, 7d active)
│   ├── trending.py       # Activity-based trend scoring
│   ├── metrics.py        # Legacy quantitative metrics
│   ├── analyze.py        # Qualitative analysis engine
│   ├── report.py         # Trend report generation
│   ├── scan_project.py   # Project context scanner
│   ├── recommend.py      # Project-trend matcher
│   ├── apply.py          # Deep integration analysis
│   ├── history.py        # Trend history tracking
│   └── publish.sh        # Git commit & push
├── config/
│   ├── categories.yaml   # Category & topic config
│   └── prompts/          # Analysis prompt templates
├── data/
│   └── YYYY-MM-DD/       # Daily analysis data
├── reports/              # Generated reports
├── .claude/commands/     # /trend and /trend-apply
├── run.py                # Main orchestrator
└── git-trend-sync.yaml.example

⚙️ Automation

Windows Task Scheduler

  1. Open Task Scheduler
  2. Create Basic Task → Name: git-trend-sync
  3. Trigger: Daily at your preferred time
  4. Action: Start a program
    • Program: python
    • Arguments: C:\path\to\git-trend-sync\run.py
  5. Done
<div align="center">

Built with ❤️ and Claude Code

</div>