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KashCloud CLI -- Deploy and manage AI agents from your terminal

Project description

KashCloud CLI

Deploy and manage AI agents from your terminal. Like Claude Code, but yours.

PyPI version Python 3.10+ License: MIT

Install

pip install kashcloud

Quick Start

# Authenticate
kashcloud login

# Interactive AI terminal (Claude Code-style)
kashcloud

# One-shot message
kashcloud chat "explain this codebase"

# Deploy a persistent AI agent
kashcloud deploy agent.py

# Manage agents
kashcloud list
kashcloud logs <agent_id>
kashcloud stop <agent_id>
kashcloud restart <agent_id>

Interactive Terminal

Running kashcloud with no arguments launches an interactive AI terminal powered by Gemini 2.5 Flash (free). It can:

  • Read and write files in your project
  • Run shell commands
  • Explain and refactor code
  • Deploy agents to KashCloud

Terminal Commands

Command Description
/help Show all commands
/read FILE Read a file
/run CMD Run a shell command
/deploy FILE Deploy an agent
/agents List your agents
/clear Clear conversation
/exit Quit

Or just type naturally: "read main.py and explain it", "fix the bug on line 42", "create a REST API for user management".

Agent Deployment

Deploy persistent Python agents that run 24/7 on KashCloud:

# Basic deploy
kashcloud deploy my_agent.py

# With options
kashcloud deploy my_agent.py --name "price-tracker" --model claude-sonnet --memory 512

Agents get:

  • Persistent memory
  • Automatic restarts
  • Log streaming
  • Model routing (cheap/mid/premium)

Configuration

Config is stored at ~/.kashcloud/config.json. You can also use environment variables:

  • KASHCLOUD_API_KEY -- Your API key
  • KASHCLOUD_API_URL -- Custom API endpoint

Links

License

MIT

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