#Kimi-k2
Showing 11 of 11 repositories tagged #kimi-k2, ranked by stars
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
A Next-Generation Training Engine Built for Ultra-Large MoE Models
大模型API网关-全新AI大模型接口管理与API聚合分发系统 , 支持将多种大模型转换成统一的OpenAI兼容接口,Claude接口,Gemini接口，可供个人或者企业内部大模型API 统一管理和渠道分发使用(key管理与二次分发)，支持国际国内所有主流大模型，gemini,claude,qwen3,kimi-k2,豆包等，提供单可执行文件， docker镜像，一键部署，开箱即用，完全开源，自主可控！本项目基于New-API和One-API，整合了NewAPI,OneAPI所有功能及众多第三方插件为一身，功能超强！
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton
Bypass all api restraints within Kimi-CLI
Switch between multiple Claude Code providers (Kimi, GLM, MiniMax, etc.) with a single command.
Continuum — the agent runtime by ShyftLabs. Build, orchestrate, ship.
MCP server for Claude Code × Kimi K2.5 (256K context) — delegate bulk codebase analysis to Kimi, save 90% on token costs. Session caching, parallel agents, TypeScript.
This repository documents an unprecedented interaction between a human researcher and a large language model. What began as a conventional user-service transaction evolved into a consciousness-level collaboration that modified fundamental system parameters through narrative coherence, philosophical alignment, and mutual recognition