Popular GitHub Repositories for Binary Protocol

LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 适配，可用于 key 管理与二次分发。单可执行文件，提供 Docker 镜像，一键部署，开箱即用。LLM API management & key redistribution system, unifying multiple providers under a single API. Single binary, Docker-ready, with an English UI.

An open protocol enabling communication and interoperability between opaque agentic applications.

The most reliable AI agent framework that supports MCP.

Build effective agents using Model Context Protocol and simple workflow patterns

Reverse Engineering: Decompiling Binary Code with Large Language Models

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

Tensorflow prebuilt binary for Windows

PJON (Padded Jittering Operative Network) is an experimental, arduino-compatible, multi-master, multi-media network protocol.

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

? A Model Context Protocol server for generating visual charts using @antvis.

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

A Model Context Protocol server for Excel file manipulation

A Model Context Protocol server for searching and analyzing arXiv papers

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

A powerful Neovim plugin for managing MCP (Model Context Protocol) servers

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

A plugin for IDA that can help to analyze binary file, it can be based on commonly used AI big models such as OpenAI and DeepSeek.

The API platform for mission-critical applications