D
dcSpark/shinkai-local-ai-agents
Desktop app for local agents, models and payments
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"dcspark-shinkai-local-ai-agents": {
"command": "npx",
"args": ["nx"]
}
}
}Parsed from the README we fetched on 2026-11-05; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"dcspark-shinkai-local-ai-agents": {
"command": "npx",
"args": ["nx"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio dcspark-shinkai-local-ai-agents -- npx nx
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx nx
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx nx. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
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
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