A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://github.com/dcSpark/shinkai-apps below:

dcSpark/shinkai-local-ai-agents: Shinkai is a two click install App that allows you to create Local AI agents in 5 minutes or less using a simple UI. Supports: MCPs, Remote and Local AI, Crypto and Payments.

Shinkai

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

FeaturesDemoExamplesQuick StartDevelopmentDocumentation

🎯 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.

shinkai-demo.mp4

Watch Shinkai agents collaborate to analyze market data, execute trades, and manage complex workflows autonomously.

💹 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.

  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

Shinkai is built as a modern monorepo using NX for orchestration and dependency management. The architecture consists of:

Core Applications:

Shared Libraries:

Technology Stack:

git clone https://github.com/dcSpark/shinkai-apps
cd shinkai-apps
nvm use
npm ci
2. Download Required Side Binaries

Before running Shinkai, you'll need to download the embedded Shinkai Node binary that powers the application's core functionality. This can be done with a single command based on your platform:

macOS (Apple Silicon):

ARCH="aarch64-apple-darwin" \
SHINKAI_NODE_VERSION="v1.1.4" \
OLLAMA_VERSION="v0.11.4" \
npx ts-node ./ci-scripts/download-side-binaries.ts

Linux:

ARCH="x86_64-unknown-linux-gnu" \
OLLAMA_VERSION="v0.11.4" \
SHINKAI_NODE_VERSION="v1.1.4" \
npx ts-node ./ci-scripts/download-side-binaries.ts

Windows:

$ENV:OLLAMA_VERSION="v0.11.4"
$ENV:SHINKAI_NODE_VERSION="v1.1.4"
$ENV:ARCH="x86_64-pc-windows-msvc"
npx ts-node ./ci-scripts/download-side-binaries.ts
# Run desktop app (recommended for development)
npx nx serve:tauri shinkai-desktop
# Build desktop application
npx nx build shinkai-desktop

# Create development build
NODE_OPTIONS="--max_old_space_size=8192" npx nx build shinkai-desktop --config="./src-tauri/tauri.conf.development.json"

# Build all projects
npx nx run-many --target=build
Third party data and repository management
# Update the built-in Ollama models repository. This repository contains model definitions, tags and metadata for all supported AI models. The command below regenerates the repository files to ensure compatibility with the latest Ollama version and model updates
npx ts-node ./ci-scripts/generate-ollama-models-repository.ts

# Generate Composio apps repository - This script regenerates the repository of pre-built Composio apps and templates that users can import into Shinkai. It ensures the app catalog stays up-to-date with the latest official releases.
deno run -A ./ci-scripts/composio-repository/main.ts

# Generate translations for all languages (EN, ES, etc.)
# This command uses AI to automatically generate translations for all supported languages based on the primary i18n source file (English).
# It ensures consistent translations across the entire application while maintaining natural language quality.

npx nx run shinkai-i18n:i18n
# Run tests
npx nx test [project-name]
npx nx run-many --target=test

# Lint code
npx nx lint [project-name]
npx nx run-many --target=lint
shinkai-apps/
├── apps/
│   └── shinkai-desktop/          # Main desktop application
├── libs/
│   ├── shinkai-message-ts/       # Core messaging protocol
│   ├── shinkai-node-state/       # State management
│   ├── shinkai-ui/               # Component library
│   ├── shinkai-artifacts/        # UI primitives
│   └── shinkai-i18n/             # Internationalization
├── ci-scripts/                   # Build and deployment scripts
└── tools/                        # Development utilities
🎨 UI Development Guidelines

Component Libraries:

State Management:

Shinkai supports multiple languages through our i18n system:

# Add new translation keys
# Edit files in libs/shinkai-i18n/locales/

# Generate updated translation types
npx nx run shinkai-i18n:i18n

# Supported languages: en-US, es-ES, zh-CN, zh-HK, ko-KR, ja-JP, id-ID, tr-TR
  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Commit your changes: git commit -m 'Add amazing feature'
  4. Push to the branch: git push origin feature/amazing-feature
  5. Open a Pull Request

Built with ❤️ by the Shinkai community
Apache LicenseReport BugRequest Feature


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4