Moonshot AI
@moonshotai • 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
53%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
30 repos
Visible snapshot
13 repositories updated in the last 90 days.
Leading language
Python
Portfolio mix
Python (12), Unknown (8), TypeScript (2)
Average size
2K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
Updated: 2026-08-06(65d ago)GitHub API fallback30 repositories
53%
of the visible star count comes from this organization's top three repositories.
2K
stars per repository in this same snapshot.
Python
is the most common language here, with 13 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 53%
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 53% 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 (12), Unknown (8), 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.
Top Repositories
| # | Repository | Language | Stars |
|---|---|---|---|
| 1 | moonshotai/kimi-cli [Archived] Legacy Python Kimi CLI, no longer maintained. Please use Kimi Code CLI: https://github.com/MoonshotAI/kimi-code | Python | 11.4K |
| 2 | moonshotai/Kimi-K2 Kimi K2 is the large language model series developed by Moonshot AI team | 11.1K | |
| 3 | moonshotai/Kimi-K3 Open Frontier Intelligence | 8.9K | |
| 4 | moonshotai/kimi-code Kimi Code CLI — The Starting Point for Next-Gen Agents | TypeScript | 7.8K |
| 5 | moonshotai/Kimi-Audio Kimi-Audio, an open-source audio foundation model excelling in audio understanding, generation, and conversation | Python | 4.7K |
| 6 | moonshotai/Attention-Residuals | 3.5K | |
| 7 | moonshotai/Kimi-K2.5 Open Visual Agentic Intelligence | 2.3K | |
| 8 | moonshotai/Kimi-Linear | 1.6K | |
| 9 | moonshotai/Kimi-Dev open-source coding LLM for software engineering tasks | Python | 1.4K |
| 10 | moonshotai/FlashKDA FlashKDA: high-performance Kimi Delta Attention kernels | Cuda | 1.3K |
| 11 | moonshotai/MoonEP MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts | Python | 1.2K |
| 12 | moonshotai/checkpoint-engine Checkpoint-engine is a simple middleware to update model weights in LLM inference engines | Python | 1K |
| 13 | moonshotai/K2-Vendor-Verifier Verify Precision of all Kimi K2 API Vendor | Python | 593 |
| 14 | moonshotai/kimi-agent-sdk Kimi Agent SDK provides a programmatic interface to interact with the Kimi CLI | TypeScript | 575 |
| 15 | moonshotai/kosong The LLM abstraction layer for modern AI agent applications. | 523 | |
| 16 | moonshotai/Kimina-Prover-Preview Technical report of Kimina-Prover Preview. | Python | 377 |
| 17 | moonshotai/PerceptionBench PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models | Python | 212 |
| 18 | moonshotai/Kimi-Vendor-Verifier Kimi-Vendor-Verifier | Python | 175 |
| 19 | moonshotai/Kimi-Audio-Evalkit | Python | 170 |
| 20 | moonshotai/nano-kpu | Verilog | 139 |
| 21 | moonshotai/WorldVQA | Python | 123 |
| 22 | moonshotai/minitriton | Python | 86 |
| 23 | moonshotai/Kimi-Researcher | HTML | 82 |
| 24 | moonshotai/kimi-agent-rs Kimi Agent (Rust), the Kimi Code CLI Wire mode-compatible agent server. | Rust | 72 |
| 25 | moonshotai/zsh-kimi-cli | Shell | 67 |
| 26 | moonshotai/CombiBench | Lean | 55 |
| 27 | moonshotai/walle | Go | 30 |
| 28 | moonshotai/pykaos A lightweight operating system abstraction layer for agents. | 20 | |
| 29 | moonshotai/kimi-code-zed-extension Kimi CLI Zed extension. | 11 | |
| 30 | moonshotai/Branding-Guide | HTML | 3 |
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.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
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.