DotNetAge

Mindx

Name: Mindx
Author: DotNetAge

DevOps community

SOURCE https://github.com/DotNetAge/mindx

Description

MindX is a modern AgentOS built for long-running, stateful and multi-agent collaboration. It offers full-stack infrastructure featuring agent orchestration, hierarchical persistent memory, multi-dimensional knowledge cognition, multi-terminal interaction and native storage capabilities.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

MindX — Production-Grade Agent Operating System

[![Release](https://img.shields.io/github/v/release/DotNetAge/mindx)](https://github.com/DotNetAge/mindx/releases) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) [![Go Version](https://img.shields.io/badge/Go-1.21%2B-blue)](https://go.dev/) [![Homebrew](https://img.shields.io/homebrew/v/dotnetage/mindx)](https://github.com/DotNetAge/homebrew-mindx) [![Docker Pulls](https://img.shields.io/docker/pulls/dotnetage/mindx)](https://hub.docker.com/r/dotnetage/mindx)

English | 简体中文

**Production-Grade Agent Operating System | Native Dual-Core: Agent Harness + Enhanced AgenticRAG**

MindX is a modern AgentOS designed for long-running, stateful, and multi-agent collaborative scenarios. It provides full-stack infrastructure including agent orchestration, hierarchical persistent memory, multi-dimensional knowledge cognition, multi-terminal interaction, and native storage primitives, supporting enterprise automation, knowledge platforms, and private agent clusters.

Overview

Most mainstream agent frameworks adopt stateless single-turn execution, requiring frequent manual instructions. They lack persistent memory, standardized team collaboration, and structured knowledge understanding, resulting in common industry pain points: memory decay, context overflow, rigid execution, and disconnection between knowledge and action.

MindX introduces a dual-core architecture. The **Agent Harness** enables stateful, reflective, and collaborative agent scheduling. The **self-developed AgenticRAG** delivers high-precision, low-cost, incrementally evolvable cognitive capabilities, upgrading traditional disposable tool agents into long-term, self-growing digital workforce clusters.