One CLI to Rule Them All.
Tired of juggling multiple AI coding assistants? CAM is a unified Python CLI to manage configurations, prompts, skills, and plugins for 17 AI assistants including Claude, Codex, Gemini, Qwen, Copilot, Blackbox, Goose, Continue, and more from a single, polished terminal interface.
Choose your preferred installation method:
# Install via pip (Python 3.9+)
pip install code-assistant-manager# 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]"-
Set up your API keys in a
.envfile:ANTHROPIC_API_KEY="your-anthropic-key" GITHUB_TOKEN="your-github-token" GEMINI_API_KEY="your-gemini-key"
-
Launch the interactive menu:
cam launch
-
Select your assistant and start coding!
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.
- 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.jsonfile 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
CAM supports 17 AI coding assistants:
| Assistant | Command | Install Method |
|---|---|---|
| Claude | claude |
Shell script |
| Codex | codex |
npm |
| Gemini | gemini |
npm |
| Qwen | qwen |
npm |
| Copilot | copilot |
npm |
| CodeBuddy | codebuddy |
npm |
| Droid | droid |
Shell script |
| iFlow | iflow |
npm |
| Crush | crush |
npm |
| Cursor | cursor-agent |
Shell script |
| Blackbox | blackbox |
Shell script |
| Neovate | neovate |
npm |
| Qoder | qodercli |
npm |
| Zed | zed |
Shell script |
| Goose | goose |
Shell script |
| Continue | continue |
npm |
| OpenCode | opencode |
npm |
Manage standalone assistant configurations with markdown-based definitions and YAML front matter.
Reusable system prompts with fancy name generation synced across assistants at user or project scope.
Custom tools and functionalities for your agents (directory-based with SKILL.md).
Marketplace extensions for supported assistants (GitHub repos or local paths).
| Command | Alias | Description |
|---|---|---|
cam launch [TOOL] |
l |
Launch interactive TUI or a specific assistant |
cam doctor |
d |
Run diagnostic checks on environment and API keys |
cam agent |
ag |
Manage agent configurations (list, install, fetch from repos) |
cam prompt |
p |
Manage and sync system prompts across assistants |
cam skill |
s |
Install and manage skill collections |
cam plugin |
pl |
Manage marketplace extensions (plugins) |
cam mcp |
m |
Manage MCP servers (add, remove, list, install) |
cam upgrade [TARGET] |
u |
Upgrade tools (default: all) with parallel execution |
cam install [TARGET] |
i |
Alias for upgrade |
cam uninstall [TARGET] |
un |
Uninstall tools and backup configurations |
cam config |
cf |
Manage CAM's internal configuration files |
cam version |
v |
Display current version |
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
- Discord: Join our community for discussions and support
- GitHub Issues: Report bugs and request features
- Contributing: See our Contributing Guidelines
This project is licensed under the MIT License.
