GitStar
TrendingExploreTop 100Insight
โŒ˜K
GitStar

A ranking dashboard for GitHub momentum, durable repository leaders, package adoption, and editorial context.

Data source ยท GitHub API and package ecosystem snapshots

Home

HomeTrendingMomentumPulseExplore

Discover

CategoriesLanguagesOrganizationsAI / MLMCP

Workflow

CompareWatchlistRandom

Knowledge

InsightGuideMethodology

Support

FAQAbout GitStarContactPrivacyTerms

ยฉ 2026 GitStar. All rights reserved.

Data sourced from GitHub API

  1. Home
  2. Organizations
  3. Moonshot AI
Moonshot AIOrganization

Moonshot AI

@moonshotai โ€ข Open source projects from moonshotai. Use this route to separate flagship concentration from portfolio breadth before you treat a publisher as broadly strong.

Portfolio concentration

55%

Top three share

Shows whether the organization is driven by one breakout repo or several visible projects.

Breadth

30 repos

Visible snapshot

15 repositories updated in the last 90 days.

Leading language

Python

Portfolio mix

Python (11), Unknown (9), TypeScript (2)

Average size

1.8K

Stars per repository

Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.

Back to organizationsCompare repositories
Updated: 2026-07-28(2d ago)GitHub API fallback30 repositories

Portfolio Shape

55%

of the visible star count comes from this organization's top three repositories.

Average Repository Size

1.8K

stars per repository in this same snapshot.

Current Mix

Python

is the most common language here, with 15 repositories updated in the last 90 days.

Why this rank

This organization stands out because its public portfolio is relatively balanced across 30 repositories.

Balanced portfolio across 30 reposTop 3 share 55%

Organization pages work best when you separate portfolio breadth from flagship concentration. In Moonshot AI's case, the visible top three repositories account for about 55% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.

The dominant language mix here is Python (11), Unknown (9), TypeScript (2). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.

Source: GitHub API fallback. This is the same cache-first snapshot used by the organization ranking list, so the summary view and the detail view should stay aligned.

Top Repositories

#RepositoryLanguageStars๐Ÿด ForksUpdated
1moonshotai/Kimi-K2

Kimi K2 is the large language model series developed by Moonshot AI team

11.1K8986 months ago
2moonshotai/kimi-cli

Kimi Code CLI is your next CLI agent.

Python11K1.3K2 weeks ago
3moonshotai/Kimi-K3

Open Frontier Intelligence

7.5K4992 days ago
4moonshotai/kimi-code

Kimi Code CLI โ€” The Starting Point for Next-Gen Agents

TypeScript5.8K872Today
5moonshotai/Kimi-Audio

Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation

Python4.7K3721 years ago
6moonshotai/Attention-Residuals3.4K2014 months ago
7moonshotai/Kimi-K2.5

Open Visual Agentic Intelligence

2.3K3186 months ago
8moonshotai/Kimi-Linear1.5K828 months ago
9moonshotai/Kimi-Dev

open-source coding LLM for software engineering tasks

Python1.3K17510 months ago
10moonshotai/FlashKDA

FlashKDA: high-performance Kimi Delta Attention kernels

Cuda1.1K102Today
11moonshotai/checkpoint-engine

Checkpoint-engine is a simple middleware to update model weights in LLM inference engines

Python9881023 weeks ago
12moonshotai/MoonEP

MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts

Python916962 days ago
13moonshotai/K2-Vendor-Verifier

Verify Precision of all Kimi K2 API Vendor

Python585395 months ago
14moonshotai/kimi-agent-sdk

Kimi Agent SDK provides a programmatic interface to interact with the Kimi CLI

TypeScript550872 months ago
15moonshotai/kosong

The LLM abstraction layer for modern AI agent applications.

523532 weeks ago
16moonshotai/Kimi-Audio-EvalkitPython169168 months ago
17moonshotai/PerceptionBench

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

Python13782 days ago
18moonshotai/WorldVQAPython12055 months ago
19moonshotai/Kimi-Vendor-Verifier

Kimi-Vendor-Verifier

Python92132 days ago
20moonshotai/Kimi-ResearcherHTML82101 years ago
21moonshotai/kimi-agent-rs

Kimi Agent (Rust), the Kimi Code CLI Wire mode-compatible agent server.

Rust72195 months ago
22moonshotai/zsh-kimi-cliShell70199 months ago
23moonshotai/minitritonPython6363 days ago
24moonshotai/nano-kpuVerilog6171 weeks ago
25moonshotai/CombiBenchLean55101 months ago
26moonshotai/walleGo297Yesterday
27moonshotai/pykaos

A lightweight operating system abstraction layer for agents.

2167 months ago
28moonshotai/kimi-help-center

Kimi Help Center is an intelligent Q&A routing system that directs user questions to the right help articles across the full Kimi ecosystem โ€” covering Agent mode, Deep Research, Kimi Code, Kimi Claw, Docs & Sheets, PPT/Slides, membership & billing, and API services.

18112 days ago
29moonshotai/kimi-code-zed-extension

Kimi CLI Zed extension.

1166 months ago
30moonshotai/Branding-GuideHTML444 months ago

Next step after the organization read

Open a flagship repository, compare a couple of portfolio leaders, or return to the organization map when you want a broader concentration read.
Open flagship repoCompare repositoriesBack to organizations

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

How to read this organization snapshot

Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.

For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.