Awesome GitHub RepositoriesCustom Protocol Servers

jcode 是一个用于开发自主 AI 编码代理的框架，这些代理可自动化软件开发任务。它作为一个代理编排器、工具运行时和语义记忆引擎，支持创建能够修改代码、运行测试并迭代自身功能的代理。 该项目以其递归代理群集（Swarming）而著称，其中协作代理的层级结构可以生成子代理来分解复杂任务。它实现了一个语义记忆系统，结合了基于向量的检索和基于图的关系映射，以在会话间保持上下文。为了管理风险，该系统使用分级操作治理，要求人工批准敏感操作，并将代理活动隔离在单独的 Git 工作树中。 该框架包含一个全面的浏览器自动化工具包，用于与网页交互、提取 DOM 快照和捕获截图。它还实现了模型上下文协议（MCP）以集成外部工具和数据，并支持二进制热重载以在不丢失活动网络连接的情况下更新服务器。 该系统提供用于管理代理记忆的命令行界面，并包括用于跟踪计划进度和可视化代理群集拓扑的审计工具。

This repository contains the comprehensive documentation for a code editor focused on AI-assisted software development and remote development workflows. It covers the implementation of AI agents and language models used for autonomous code generation, large-scale refactoring, and task iteration. The project is distinguished by its deep integration of autonomous AI agents capable of web navigation, application logic validation, and orchestrating multi-step development processes. It provides specialized frameworks for tailoring AI behavior through custom instructions, model context protocols, a

FASTER is a high-throughput key-value store that combines an in-memory data store with a hybrid memory-disk storage engine, enabling datasets larger than available RAM. It uses a latch-free, cache-optimized index for concurrent point lookups and heavy updates, and records all mutations to a persistent append-only log on disk with checksum validation and group-commit checkpointing for crash recovery. The system supports multi-key transactional workloads through atomic multi-key locking, ensuring transactional consistency without coarse-grained contention. It exposes the key-value store to remo

Twisted is an event-driven networking engine for Python that provides a framework for building asynchronous network applications. At its core, it uses a reactor-based event loop to drive all input and output, dispatching callbacks in a single thread without blocking. The library implements a deferred promise chain for composing asynchronous logic, along with a protocol and factory pattern that separates connection state management from protocol handling, enabling reusable handlers for different network protocols. The framework supports multiple event loops across platforms, including select,

autoMate is an AI agent tool server and multi-model AI gateway that exposes local system tools and data to chat clients via a standard protocol. It functions as a computer use agent capable of controlling desktop interfaces and browsers to automate local system tasks through natural language. The project serves as a SaaS integration platform, bridging AI agents to third-party services such as GitHub, Notion, Slack, and Jira. It also operates as a personal knowledge management system that stores markdown notes and files using a hybrid keyword and full-text search memory system. The software f

Moon is a monorepo build system and task runner designed to orchestrate complex projects with multiple packages. It functions as a dependency graph orchestrator that executes build targets in topological order and utilizes input hashing to cache results and skip redundant work. The project features a polyglot toolchain manager that automates the installation and versioning of language runtimes and CLI tools to ensure environment consistency. It also includes a plugin framework based on WebAssembly, allowing developers to extend build logic and toolchain behavior using any supported language.

This project is an AI content automation pipeline and LLM agent orchestration framework. It provides a system for generating research-backed text, images, and videos, and scheduling their distribution to social platforms. The framework allows for the development of specialized AI agents and custom tool servers. These servers expose capabilities such as video editing and story generation as API endpoints, enabling agents to execute complex tasks through a combination of AI models and custom tooling. The system covers automated content creation across text, image, and video media, utilizing hu

This is a software development kit for integrating the Model Context Protocol into Java applications. It serves as a framework for building AI servers and communication layers that exchange prompts, resources, and tool definitions between AI clients and servers. The SDK provides a transport-agnostic communication layer, allowing bidirectional data exchange over standard I/O, HTTP, or Server-Sent Events. It includes a generative AI resource manager for exposing structured data and prompt templates, and a standardized interface for implementing protocol clients and servers. The project covers