Github Agent Trends

Generate GitHub agent-trending project reports as formatted markdown leaderboards. Fetches agent/LLM-agent/multi-agent related repos by daily, weekly, or monthly activity window and sorts by stars. Use when the user asks for GitHub agent trends, AI agent leaderboard, coding agents, or popular agent frameworks on GitHub.

Generate a formatted leaderboard of agent-related open-source projects on GitHub (keywords + topics such as ai-agent, multi-agent, agent framework), and paste the script output into chat.

Usage

From the repository root:

bash

python3 scripts/skills/github-agent-trends/scripts/fetch_trends.py --period weekly --limit 20

With a token (recommended for rate limits):

bash

export GITHUB_TOKEN=ghp_...
python3 scripts/skills/github-agent-trends/scripts/fetch_trends.py --period weekly --limit 20

Parameters

• --period: daily | weekly | monthly (default: weekly)
• --limit: Number of repos after dedupe/sort (default: 20)
• --token: GitHub PAT (or set GITHUB_TOKEN)
• --json: Raw JSON instead of markdown

How It Works

1. Queries GitHub Search repositories API with agent-focused keywords (e.g. ai-agent, multi-agent, agent framework) and topics (e.g. ai-agent, multi-agent, langchain, autogen), filtered by pushed within the period and minimum stars.
2. Deduplicates by full_name, sorts by stargazers_count, takes top N.
3. Prints a markdown leaderboard (Chinese title: GitHub Agent 趋势榜).

Notes

• Results reflect search relevance + stars, not the official GitHub “Trending” page (which has no public API).
• Unauthenticated: ~10 requests/minute to Search API; with GITHUB_TOKEN: higher quotas (follow GitHub docs).
• Stdlib only — no pip dependencies.

Customization

Edit SEARCH_KEYWORDS and SEARCH_TOPICS in scripts/fetch_trends.py to widen or narrow the agent theme (e.g. add crewai, browser-use).