Code Assistant Manager (CAM)

Installation

Choose your preferred installation method:

Quick Install (Recommended)

# Install via pip (Python 3.9+)
pip install code-assistant-manager

Alternative Methods

# Install using the install script
./install.sh

# Or install directly from the web
curl -fsSL https://raw.githubusercontent.com/Chat2AnyLLM/code-assistant-manager/main/install.sh | bash

# Install from source
git clone https://github.com/Chat2AnyLLM/code-assistant-manager.git
cd code-assistant-manager
pip install -e ".[dev]"

Quick Start

1. Set up your API keys in a .env file:

   ANTHROPIC_API_KEY="your-anthropic-key"
   GITHUB_TOKEN="your-github-token"
   GEMINI_API_KEY="your-gemini-key"
   

2. Launch the interactive menu:

   cam launch
   

3. Select your assistant and start coding!

Why CAM?

In the era of AI-driven development, developers often use multiple powerful assistants like Claude, GitHub Copilot, and Gemini. However, this leads to a fragmented and inefficient workflow:

• Scattered Configurations: Each tool has its own setup, API keys, and configuration files.
• Inconsistent Behavior: System prompts and custom instructions diverge, leading to different AI behaviors across projects.
• Wasted Time: Constantly switching between different CLIs and UIs is a drain on productivity.

CAM solves this by providing a single, consistent interface to manage everything, turning a chaotic toolkit into a cohesive and powerful development partner.

Key Features

Core Capabilities

• Unified Management: One tool (cam) to install, configure, and run all your AI assistants
• Centralized Configuration: Manage all API keys and endpoint settings from a single providers.json file with environment variables in .env
• Interactive TUI: A polished, interactive menu (cam launch) for easy navigation and operation with arrow-key navigation
• MCP Registry: Built-in registry with 381 pre-configured MCP servers ready to install across all supported tools
• Extensible Framework: Standardized architecture for managing agents, prompts, skills, and plugins

Supported AI Assistants

CAM supports 17 AI coding assistants:

Agents, Prompts & Skills

Agents

Manage standalone assistant configurations with markdown-based definitions and YAML front matter.

Prompts

Reusable system prompts with fancy name generation synced across assistants at user or project scope.

Skills

Custom tools and functionalities for your agents (directory-based with SKILL.md).

Plugins

Marketplace extensions for supported assistants (GitHub repos or local paths).

Command Reference

Governance & Quality

CAM is governed by a speckit-driven development framework ensuring consistent, high-quality evolution with:

• Constitutional Principles: Unified interface, security-first design, TDD practices, extensible architecture, quality assurance
• Enterprise Security: Config-first approach eliminates shell injection vulnerabilities
• Comprehensive Testing: Enterprise-grade test suite with 1,423+ tests
• Automated Quality Assurance: Built-in complexity monitoring, file size limits, and CI/CD quality gates

Community & Support

• Discord: Join our community for discussions and support
• GitHub Issues: Report bugs and request features
• Contributing: See our Contributing Guidelines

License

This project is licensed under the MIT License.