LLM 模型排行

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

A pySigma wrapper and langchain toolkit for automatic rule creation/translation

Backend for SlideSpeak. Create PowerPoints with AI. Get summaries, ask questions, create presentations and more.

VideoDB Python SDK

A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.

Build your own offline AI from any documents. Free. No coding. LoRA fine-tuning + RAG + GGUF export.

【AI应用平台】一个AI应用与零代码结合体，旨在帮助开发者快速构建和部署AI 应用和零代码搭建！功能涵盖：AI应用、零代码搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表

LangChain LLM chat with streaming response over websockets

Design Patterns for Multi Agents Frameworks Like Autogen, Langraph, Taskweaver,Crewai,etc

Kyros — The Memory OS for AI Agents Give your AI agents secure, self-correcting, persistent memory in 3 lines of code. Three memory types (episodic, semantic, procedural) with built-in forgetting curves, cryptographic integrity, and automatic contradiction resolution. Model-agnostic REST API with Python and TypeScript SDKs.

An all in one AI solution compatible with any known AI service on the planet

Nano vLLM with vLLM v1's request scheduling strategy and chunked prefill

Open source local terminal cli with any LLM

Ollama负载均衡服务器 | 一款高性能、易配置的开源负载均衡服务器，优化Ollama负载。它能够帮助您提高应用程序的可用性和响应速度，同时确保系统资源的有效利用。

🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨

Claude skill & plugin: turn Claude (or any LLM) into an MBB-grade management consultant. Case-interview coaching, strategy frameworks, market sizing, board-ready problem-solving. 129 reference modules. Free & open-source.

一个用于在Unity中开发在线和离线聊天机器人的管线。A pipeline designed to create online and offline chat-bot in Unity.

A collection of zipped Ollama models for offline use. Simply download, extract, and set up your desired model anywhere.

Andy's Soul - AI Agent 核心操作指令 | Universal core directives for AI agents (Claude, Codex, Cursor) - Cognitive axioms + Musk's methodology + Karpathy's principles

MCore-Bridge: Providing Megatron-Core model definitions for state-of-the-art large models and making Megatron training as simple as Transformers — with support for 300+ large language models (Qwen3-Next, GLM-5.2, Deepseek-V4, MiniMax-2.7, ...) and 200+ multimodal large models (Qwen3.5, Qwen3-Omni, Gemma4, ...).