engine-cli 1.0.1

Engine Framework CLI - Command Line Interface for AI Agent Orchestration

Engine CLI

Engine Framework CLI - Command Line Interface for AI Agent Orchestration System

A powerful terminal interface for managing AI agents, teams, workflows, and orchestration systems. Built on top of the Engine Core framework with rich terminal UI and comprehensive command coverage.

✨ Features

• 🧠 Agent Management: Create, configure, and manage AI agents from command line
• 👥 Team Coordination: Build and manage agent teams with advanced coordination strategies
• ⚡ Workflow Execution: Run Pregel-based workflows with real-time monitoring
• 🔧 Tool Integration: Manage external integrations (APIs, CLI tools, MCP)
• 📋 Protocol System: Configure agent behavior protocols and commands
• 📚 Memory Management: Hierarchical memory system with semantic search
• 🎨 Rich Terminal UI: Beautiful, interactive command-line interface with colors and tables
• 🚀 Production Ready: Comprehensive error handling and validation
• ⚡ Performance Optimized: < 2s startup time with lazy loading and smart caching

📦 Installation

🚀 Quick Install (Recommended)

pip install engine-cli

That's it! Engine CLI v1.0.0 is now available on PyPI and ready to use.

📋 Requirements

• Python: 3.11 or higher
• Engine Core: Automatically installed as dependency
• Optional: Rich terminal for enhanced UI (automatically included)

🔧 Alternative Installation Methods

# From source (development)
git clone https://github.com/engine-agi/engine-cli.git
cd engine-cli
pip install -e .

# With development dependencies
pip install -e ".[dev]"

📚 Documentation

📖 Complete CLI Manual

For comprehensive documentation including all commands, examples, and troubleshooting:

• Documentation Index - Complete documentation overview and navigation
• CLI Manual - Complete command reference with examples
• Practical Examples - Real-world usage scenarios and tutorials
• Troubleshooting Guide - Common issues and solutions
• Unix Man Pages - Traditional Unix manual pages (man engine)
• Interactive Help - Built-in help system (engine --help)
• Examples Repository - Practical usage examples

🚀 Quick Examples

# Get started quickly
engine --help

# Create and manage agents
engine agent create --name "code-reviewer" --model "claude-3.5-sonnet"
engine agent list

# Work with teams and workflows
engine team create --name "dev-team"
engine workflow run --id "my-workflow"

# Monitor system status
engine status
engine advanced monitor

🔧 Troubleshooting

Common issues and solutions:

# Enable verbose output for debugging
engine --verbose [command]

# Check configuration
engine config show

# View system status
engine status

# Get detailed help
engine [command] --help

For detailed troubleshooting guides, see the Troubleshooting Guide.

Features

• Agent Management: Create, configure, and manage AI agents
• Team Coordination: Build and manage agent teams with different coordination strategies
• Workflow Execution: Run Pregel-based workflows with real-time monitoring
• Tool Integration: Manage external tool integrations (APIs, CLI tools, MCP)
• Protocol System: Configure agent behavior protocols
• Memory System: Manage hierarchical memory with semantic search
• Rich Terminal UI: Beautiful, interactive command-line interface

Development

This package depends on engine-core for the core framework functionality.

# Install in development mode
poetry install

# Run tests
poetry run pytest

# Build package
poetry build

📄 License

This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0).

📋 Dual Licensing

Engine Framework uses a dual licensing model:

• AGPL-3.0: For open-source usage, community contributions, and non-commercial projects
• Commercial License: For enterprise deployments, proprietary integrations, and commercial products

📞 Commercial Licensing

For commercial usage or if you need a different license:

• Contact: [e-mail]
• Enterprise features and support available
• Custom deployment options

See the LICENSE file and LICENSE-COMMERCIAL for details.