Awesome GitHub RepositoriesAsynchronous Agent Job Execution

Claude Code is a command-line interface and multi-agent orchestration framework designed for autonomous software engineering. It enables AI agents to perform codebase modifications, debugging, and Git workflow management while coordinating multiple specialized agents to decompose and execute complex engineering tasks in parallel. The system distinguishes itself through a high degree of isolation and safety, utilizing Git worktrees to create independent working directories for concurrent agents and implementing a tiered permission system that combines user rules, project policies, and OS-level

This project is a Model Context Protocol server that connects large language models to web scraping and crawling tools. It functions as a bridge, allowing LLM clients to utilize a web crawling engine and scraping utilities to extract and process web data. The server integrates a markdown web converter that transforms dynamic web pages and PDF documents into clean markdown to optimize consumption by AI models. It also provides a browser automation interface for controlling headless sessions and bypassing access restrictions. The system covers broad capabilities including large-scale website d

PraisonAI is an autonomous AI agent platform that coordinates multiple LLM-powered agents for research, planning, and execution of complex workflows. It functions as a multi-agent orchestration framework, a workflow builder, and a Model Context Protocol server, while also providing retrieval-augmented generation through vector knowledge bases. Agents can interact via CLI, web, or standardized protocols with sandboxed code execution. The platform distinguishes itself with a rich set of agent communication protocols, including A2A, REST, WebSocket, voice and telephony integration, and MCP, allo

conform.nvim is a Neovim plugin that formats code buffers using external formatters while preserving editor state such as cursor position, folds, and viewport. It supports embedded code block formatting, applying language-specific formatting rules to code blocks inside Markdown and similar documents. The plugin runs formatters asynchronously via Neovim's job control, keeping the editor responsive during formatting operations. It offers a configurable formatter selection algorithm that picks a formatter based on filetype, buffer-local variables, or custom predicate functions. Users can define

Riona-AI-Agent 是一个 LLM 自动化代理和浏览器自动化框架，旨在执行复杂工作流、基于自定义数据进行训练并生成 AI 内容。它作为一个社交媒体自动化工具，用于安排内容、管理多个配置文件并自动化跨社交平台的互动操作。 该系统包括一个用于跟踪 AI 代理实时状态、运行时摘要和活动日志的集中式监控仪表板。它利用机器学习模型在自动化浏览会话期间识别并绕过视觉安全挑战。 该代理的能力涵盖社交媒体自动化，包括重复互动的自动化和帖子排期。它支持通过摄取网页链接、音频和文档来训练 AI 代理，以自定义代理的知识库和行为。 该框架使用 Node.js 和 TypeScript 构建。

This project provides a translation layer and set of adapters designed to bridge AI agents with the Model Context Protocol. It functions as an integration layer that allows agents to operate as protocol-compliant servers and enables the conversion of protocol-based tools into formats compatible with agent frameworks and logic graphs. The adapters facilitate tool interoperability by wrapping external protocol tools for use within agent workflows and exposing internal agent capabilities to any client implementing the Model Context Protocol. This creates a communication bridge that supports inte