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Moonshot AI

Moonshot AI

Organization

@moonshotai

moonshot.ai On GitHub since March 2023

10

Published Tools

10,518

Total Stars

0

Weekly Downloads

6,005

GitHub Followers

38

Public Repos

100/100

Avg Security

Published Tools

10 Agentsacross 4 categories

Kimi-K2

MoE language model with 32B active and 1T total parameters.

AgentModels
11K2 dirs

kimi-agent-sdk-x

Moonshot AI

A Python SDK for Kimi Agent (Kimi CLI).

Agentuncategorised
1 dir

MoonshotAI: Kimi K2.5

moonshotai

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text tokens, it delivers strong performance in general reasoning, visual coding, and agentic tool-calling.

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AgentLLM Model
1 dir

MoonshotAI: Kimi K2 Thinking

moonshotai

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimized for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step

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AgentLLM Model
1 dir

MoonshotAI: Kimi K2 0905

moonshotai

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k. This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional output

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AgentLLM Model
1 dir

MoonshotAI: Kimi K2 0711

moonshotai

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K toke

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AgentLLM Model
1 dir

Kimi-K2.5

moonshotai

Kimi-K2.5 - AI model available on ModelScope inference platform

AgentAI Model
1 dir

MoonshotAI: Kimi K2.6

moonshotai

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

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AgentLLM Model
1 dir

MoonshotAI Kimi Latest

~moonshotai

This model always redirects to the latest model in the MoonshotAI Kimi family.

AgentLLM Model
1 dir

MoonshotAI: Kimi K2.6 (free)

moonshotai

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

...more
AgentLLM Model
1 dir