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What’s trending on GitHub today

The open-source projects winning the most stars right now. Open any of them to see what it does and how to install it.

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  • Refreshed every 3 hours

Collected

  1. Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

    +696

    stars today · +0.8%

    Python89.1k stars in total
  2. 🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.

    +209

    stars today · +0.2%

    Go109k stars in total
  3. An agentic skills framework & software development methodology that works.

    +556

    stars today · +0.2%

    Shell295k stars in total

The full list

Each card is one project. The green number is how many stars it gained today; the number in the circle is its position on GitHub.

17 repositories · positions 1 to 3 are above

View
  1. Position 4

    DietrichGebert/ponytail

    Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

    JavaScript152k stars in total8.2k forksAI agentsLLM

    +1,435

    stars today

    +1.0%

  2. Position 5

    pbakaus/impeccable

    The design language that makes your AI harness better at design.

    JavaScript74.5k stars in total4.5k forks

    +722

    stars today

    +1.0%

  3. Position 6

    mattpocock/skills

    Skills for Real Engineers. Straight from my .agents directory.

    Shell275k stars in total23.1k forks

    +955

    stars today

    +0.3%

  4. Position 7

    NVIDIA/OpenShell

    OpenShell is the safe, private runtime for autonomous AI agents.

    Rust14.5k stars in total1.7k forksAI agents

    +594

    stars today

    +4.3%

  5. Position 8

    coreyhaines31/marketingskills

    Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

    JavaScript52.5k stars in total7.9k forksAI agentsLLM

    +140

    stars today

    +0.3%

  6. Position 9

    heygen-com/hyperframes

    Write HTML. Render video. Built for agents.

    TypeScript56k stars in total5k forksMCP

    +580

    stars today

    +1.0%

  7. Position 10

    mksglu/context-mode

    Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.

    TypeScript25.1k stars in total1.8k forksMCPAI agentsLLM

    +282

    stars today

    +1.1%

  8. Position 11

    google/skills

    Agent Skills for Google products and technologies

    Python20.8k stars in total1.7k forksAI agents

    +39

    stars today

    +0.2%

  9. Position 12

    getsentry/sentry

    Developer-first error tracking and performance monitoring

    Python45.1k stars in total4.9k forks

    +16

    stars today

    +0.0%

  10. Position 13

    colbymchenry/codegraph

    Pre-indexed code knowledge graph, auto syncs on code changes, for Claude Code, Codex, Gemini, Cursor, OpenCode, AntiGravity, Kiro, CoPilot, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

    C73.1k stars in total4.7k forks

    +98

    stars today

    +0.1%

  11. Position 14

    cursor/plugins

    Cursor plugin specification and official plugins

    TypeScript9.6k stars in total903 forks

    +163

    stars today

    +1.7%

  12. Position 15

    mvschwarz/openrig

    Build your own network of agents from Claude Code, Codex and Pi: persistent teams with roles, shared context and owned work.

    TypeScript4.5k stars in total307 forksAI agents

    +683

    stars today

    +18%

  13. Position 16

    Effect-TS/effect

    Build production-ready applications in TypeScript

    TypeScript16.6k stars in total806 forks

    +80

    stars today

    +0.5%

  14. Position 17

    pablostanley/yoinks

    yoink any video from your terminal. no shady ads.

    TypeScript3.6k stars in total318 forks

    +623

    stars today

    +21%

Order, star totals and “stars gained” are the ones GitHub published, read at Oct 3, 2026, 08:21 UTC. Nothing in this list is estimated or re-ranked by us.

Source: github.com/trending · updated

How to read a card

Three numbers tell the story of each project. These are the ones of Panniantong/Agent-Reach, first on the list.

Position
The place GitHub gave the project on its trending page. We copy the order; we do not rank anything ourselves.
Stars gained today
A star is how people on GitHub bookmark a project they like. This is how many new ones it received in the period.
Growth
The gain compared with the stars the project already had. Small projects on the rise show the largest percentages.

How to read this list

Each line is one repository, in the position GitHub gave it. The number in the circle is that position. The green figure on the right is the number of stars GitHub says the repository gained today, and the percentage under it compares that gain with the stars the repository already had. A project that jumps from 300 to 900 stars and one that goes from 90,000 to 90,600 both gained 600; the percentage is what tells them apart.

The title opens a page for the repository with its description, the first paragraph of its README, license, dates and, when the README has one, the command to install it. Details shows the same facts without leaving the list.

What “trending” does and does not tell you

A place on this list means many people starred the repository in a short time. It says nothing about whether the code is maintained, documented or safe to run. Launch-day attention, a popular post or a well-known author can put a project here before it has a single release. Before depending on something you found here, look at the last push date, the open issues and the license.

GitHub does not explain how it orders the page, and the order is not simply “most new stars first”: you can check that in the list above by sorting it by Stars gained and comparing with GitHub order.

Other ways to look at the same data

The weekly and monthly lists smooth out one-day spikes. Fastest growing reorders today’s repositories by relative growth, which favours small projects on the rise. The archive keeps the list of each past day, and How it works explains where every number comes from.

Why use this instead of the GitHub page

Every list says when it was read
The collection time is printed above each list, and a warning appears when it is more than 24 hours old. A list is never shown as “today” without its date.
The ranking is GitHub’s, not ours
Positions and “stars today” are copied from github.com/trending. There is no hidden score; the method page describes each number.
A page for every day
The daily list is stored under its date in the archive, so yesterday’s ranking does not disappear when today’s replaces it.
Install command only when one exists
The command box appears only when the README contains a real install line that names the project. No generic “git clone” on every card.
Filters you can link to
Search text, language, topic, sort order and view are written to the address, so a link reproduces exactly what you see.
Feeds for readers and scripts
The daily list is available as RSS and as JSON Feed, with the same collection time.

More lists to explore

The same data cut by period, programming language and subject.

Questions and answers

More detail on the method page.

Where does this list come from?

From the public page github.com/trending. A scheduled job on our server reads that page, keeps the repositories in the order GitHub shows them, and stores the result with the time of the reading. That time is printed above the list.

How often is it updated?

The collector is scheduled to run every three hours. If a run fails, or GitHub returns a page we cannot read, the previous list stays on screen with its own collection time, and a warning appears once that time is more than 24 hours old.

How does GitHub decide what is trending?

GitHub does not publish the formula. The page shows how many stars each repository gained in the period, but the order does not follow that number strictly: a repository with fewer new stars is often placed above one with more. We copy the order as it is and do not try to reproduce it.

Why are there fewer than 25 repositories?

GitHub lists at most 25 repositories per page and often shows fewer. This site shows exactly the repositories that were on the page when it was read, without padding the list from other sources.

What does the percentage under “stars today” mean?

It is the relative growth: stars gained in the period divided by the stars the repository had before the period. A project that went from 1,000 to 1,200 stars shows +20%. It is left blank when the repository had no stars before the period.

Can I share a filtered list?

Yes. Search text, language, topic, sort order and view are written to the address of the page as you change them. Copy the address and the same filtered list opens for anyone.