D
dcSpark/shinkai-local-ai-agents
Desktop app for local agents, models and payments
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"dcspark-shinkai-local-ai-agents": {
"command": "npx",
"args": ["nx"]
}
}
}解析自我们于 2026-11-05 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"dcspark-shinkai-local-ai-agents": {
"command": "npx",
"args": ["nx"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio dcspark-shinkai-local-ai-agents -- npx nx
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx nx
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx nx。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
Shinkai
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> Create Powerful AI Agents using local or remote AIs
Build collaborative AI agents that work together, handle payments, and automate complex workflows
Shinkai is a free, open-source platform that democratizes AI agent creation.
No coding required – just drag, drop, and deploy intelligent agents that can work across platforms and handle real-world tasks.
Read this in:
简体中文 |
粵語 |
한국어 |
日本語 |
Español
Features •
Demo •
Examples •
Quick Start •
Development •
Documentation
## 🚀 Features
🎯 No-Code Agent Builder – Create specialized AI agents in minutes through an intuitive visual interface. No programming experience needed.
🤖 Multi-Agent Orchestration – Deploy teams of agents that collaborate, share context, and coordinate complex multi-step workflows automatically.
💰 Crypto-Native Architecture – Built-in support for decentralized payments, DeFi interactions, and autonomous economic agents that can transact independently.
🔗 Universal Protocol Support – Seamlessly integrates with Model Context Protocol (MCP), making your agents compatible with Claude, Cursor, and the broader AI ecosystem.
⚡ Hybrid Deployment – Run everything locally for maximum privacy, connect to cloud models for enhanced capabilities, or combine both approaches as needed.
🔐 Security-First Design – Your crypto keys, sensitive data, and computations remain under your control with local-first architecture.
🌐 Cross-Platform Compatibility – Works on Windows, macOS, and Linux with consistent performance and user experience.
## 🎬 Demo
Watch Shinkai agents collaborate to analyze market data, execute trades, and manage complex workflows autonomously.
## 📋 Examples
💹 Autonomous Trading Bot – Deploy an agent that monitors social sentiment, analyzes market trends, and executes trades based on predefined strategies.
📧 Intelligent Email Assistant – Create an agent that categorizes incoming emails, drafts contextual responses, and automatically schedules follow-ups.
📊 Data Intelligence Agent – Build agents that scrape web data, perform trend analysis, and generate comprehensive reports with actionable insights.
🔄 Workflow Automation Hub – Orchestrate multiple specialized agents that handle different components of complex business processes seamlessly.
🏦 DeFi Portfolio Manager – Set up agents that monitor your crypto investments, rebalance portfolios, and execute yield farming strategies.
## 🚀 Quick Start
### One-Click Installation
1. Download the latest release for your platform from our releases page
2. Install and launch Shinkai
3. Create your first AI agent using our step-by-step guided interface
### System Requirements
Memory: 4GB RAM minimum (8GB recommended)
Storage: 2GB free space
OS: Windows 10+, macOS 10.15+, or Linux (Ubuntu 20.04+)
## 🛠 Development
### Architecture Overview
Shinkai is built as a modern monorepo using NX for orchestration and dependency management. The architecture consists of:
Core Applications:
shinkai-desktop – Cross-platform Tauri application with React frontend
Shared Libraries:
shinkai-message-ts – Message protocols and network communication with Shinkai Node
shinkai-node-state – React Query-based state management for node data
shinkai-ui – Reusable React components with design system
Build collaborative AI agents that work together, handle payments, and automate complex workflows
Shinkai is a free, open-source platform that democratizes AI agent creation.
No coding required – just drag, drop, and deploy intelligent agents that can work across platforms and handle real-world tasks.
Read this in:
简体中文 |
粵語 |
한국어 |
日本語 |
Español
Features •
Demo •
Examples •
Quick Start •
Development •
Documentation
## 🚀 Features
🎯 No-Code Agent Builder – Create specialized AI agents in minutes through an intuitive visual interface. No programming experience needed.
🤖 Multi-Agent Orchestration – Deploy teams of agents that collaborate, share context, and coordinate complex multi-step workflows automatically.
💰 Crypto-Native Architecture – Built-in support for decentralized payments, DeFi interactions, and autonomous economic agents that can transact independently.
🔗 Universal Protocol Support – Seamlessly integrates with Model Context Protocol (MCP), making your agents compatible with Claude, Cursor, and the broader AI ecosystem.
⚡ Hybrid Deployment – Run everything locally for maximum privacy, connect to cloud models for enhanced capabilities, or combine both approaches as needed.
🔐 Security-First Design – Your crypto keys, sensitive data, and computations remain under your control with local-first architecture.
🌐 Cross-Platform Compatibility – Works on Windows, macOS, and Linux with consistent performance and user experience.
## 🎬 Demo
Watch Shinkai agents collaborate to analyze market data, execute trades, and manage complex workflows autonomously.
## 📋 Examples
💹 Autonomous Trading Bot – Deploy an agent that monitors social sentiment, analyzes market trends, and executes trades based on predefined strategies.
📧 Intelligent Email Assistant – Create an agent that categorizes incoming emails, drafts contextual responses, and automatically schedules follow-ups.
📊 Data Intelligence Agent – Build agents that scrape web data, perform trend analysis, and generate comprehensive reports with actionable insights.
🔄 Workflow Automation Hub – Orchestrate multiple specialized agents that handle different components of complex business processes seamlessly.
🏦 DeFi Portfolio Manager – Set up agents that monitor your crypto investments, rebalance portfolios, and execute yield farming strategies.
## 🚀 Quick Start
### One-Click Installation
1. Download the latest release for your platform from our releases page
2. Install and launch Shinkai
3. Create your first AI agent using our step-by-step guided interface
### System Requirements
Memory: 4GB RAM minimum (8GB recommended)
Storage: 2GB free space
OS: Windows 10+, macOS 10.15+, or Linux (Ubuntu 20.04+)
## 🛠 Development
### Architecture Overview
Shinkai is built as a modern monorepo using NX for orchestration and dependency management. The architecture consists of:
Core Applications:
shinkai-desktop – Cross-platform Tauri application with React frontend
Shared Libraries:
shinkai-message-ts – Message protocols and network communication with Shinkai Node
shinkai-node-state – React Query-based state management for node data
shinkai-ui – Reusable React components with design system
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/dcspark-shinkai-local-ai-agents/)
- 来源
- awesome · https://github.com/dcSpark/shinkai-local-ai-agents
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