LLM 模型排行

Practical LangChain patterns and implementations for real-world LLM applications. 极客时间：LangChain实战课 - 这是LangChain框架早期设计的一系列重点模块的直接而清晰的示例和讲解。随着LangChain的快速演进，有些代码需要安装新的版本进行迭代。希望大家在快速浏览课程概念（仍有价值）的同时，自行学习LangChain最新的代码和进展。

A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.

One API for all LLMs either Private or Public (Anthropic, Llama V2, GPT 3.5/4, Vertex, GPT4ALL, HuggingFace ...) 🌈🐂 Replace OpenAI GPT with any LLMs in your app with one line.

Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.

Learn any journal's writing conventions from its published papers, then revise your manuscript to match — section by section.

MCP server for JADX-AI Plugin

Microsoft Foundry (demos, documentation, accelerators).

All in one vscode plugin for mcp developer

A real-time silent speech recognition tool.

说点啥（BiBi Keyboard）:一个基于 Kotlin 的 Android 平台的 LLM 与 ASR 语音输入法键盘应用 An LLM ASR voice input method keyboard application for the Android platform based on Kotlin

Local-first AI coding memory for AI agents. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.

Early WebMCP proposal / implementation - since evolved and worked on by much more capable folks that develop the web: https://github.com/webmachinelearning/webmcp

Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

[EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.

A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。

SEAIT is a user-friendly application that simplifies the installation process of AI-related projects

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

AI gets the context. Not your private data. Local-first privacy proxy for browser chat, AI APIs, and coding agents.

Chat with your documents offline using AI.