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edgework

v1.0.0

Published

Luxury CLI for edgework.ai - Accessible AI at the edge

Readme

edgework CLI

Luxury CLI for edgework.ai - Accessible AI at the Edge

Understanding yourself shouldn't cost anything.

Installation

npm install -g edgework
# or
bun add -g edgework

Quick Start

# Create an account
edgework register

# Or sign in if you have one
edgework login

# Configure your AI assistants
edgework setup

Commands

Authentication

| Command | Description | |---------|-------------| | edgework login | Sign in to edgework.ai | | edgework logout | Sign out | | edgework status | Show authentication status | | edgework key <api-key> | Set your API key directly |

Setup

| Command | Description | |---------|-------------| | edgework setup | Configure MCP server and AI config files | | edgework unsetup | Remove edgework configuration |

The setup command will:

  1. Configure Claude Desktop and Cursor MCP servers
  2. Add edgework instructions to your AI config files:
    • CLAUDE.md (Claude Code)
    • AGENTS.md (Multi-agent)
    • .cursorrules (Cursor)
    • GEMINI.md (Gemini)
    • And more...

Registration & Billing

| Command | Description | |---------|-------------| | edgework register | Create a new account | | edgework plans | View subscription plans | | edgework subscribe | Subscribe to a plan | | edgework subscription | View current subscription | | edgework cancel | Cancel subscription |

Other

| Command | Description | |---------|-------------| | edgework docs | Open documentation | | edgework env <env> | Switch environment | | edgework --help | Show all commands |

Environment

The CLI supports three environments:

  • production - api.edgework.ai (default)
  • staging - staging.api.edgework.ai
  • development - dev.api.edgework.ai

Switch environments with:

edgework env staging

Configuration

Configuration is stored in ~/.edgework/:

  • config.json - Settings and user info
  • api-key - Your API key (chmod 600)
  • token.json - Auth tokens

MCP Server

The CLI includes an MCP server that can be used with Claude Desktop, Cursor, and other MCP clients.

After running edgework setup, your AI assistants will have access to:

  • analyze_emotions - Analyze emotions in text
  • analyze_sentiment - Get sentiment analysis
  • extract_entities - Extract named entities
  • generate_embeddings - Create semantic embeddings
  • semantic_search - Natural language search
  • analyze_image - Image analysis
  • transcribe_audio - Speech to text
  • And more...

About

edgework.ai provides accessible AI capabilities at the edge. All inference runs locally in your environment - no data is sent to external AI providers.

Powered by affectively.ai

License

MIT