GitHub Agent Trends#

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).