CLI Manager

Product Introduction

1. Definition: CLI Manager is a macOS desktop application that functions as a unified terminal workspace and orchestration layer for AI-powered command-line interface (CLI) agents. It is a local-first, open-source tool that consolidates sessions from tools like Claude Code, Codex CLI, and Gemini CLI into a single, persistent dashboard.
2. Core Value Proposition: It exists to solve terminal and context-switching fatigue for developers using multiple AI coding assistants. Its primary value is centralizing management, providing visual oversight, and enabling new human-AI collaboration workflows through its unique AI Control API, all while maintaining user sovereignty over their local environment.

Main Features

1. Unified Multi-Agent Dashboard: CLI Manager provides a single sidebar interface where terminal sessions from different AI CLI agents (Claude Code, Codex CLI, Gemini CLI) and plain shell sessions coexist. It uses a project and folder-based organizational system, allowing users to group sessions by project or task. Each session can be individually renamed and persists across app restarts, enabling true context management for parallel AI-assisted workflows.
2. AI Control API (MCP/REST): This is a local-only API (running on 127.0.0.1) that allows external AI agents or scripts to programmatically interact with CLI Manager. Using the Model Context Protocol (MCP) and REST endpoints, an orchestrating AI (e.g., Claude Code) can open new terminal sessions, execute predefined shell templates, send prompts to a session, wait for completion, and read the terminal screen output. Sessions controlled via this API are visually distinguished (turned green in the sidebar, marked "AI connected"), providing transparency.
3. Integrated Git Worktree & Source Control: CLI Manager has native Git integration that treats Git worktrees as first-class citizens. Creating a worktree automatically generates a dedicated workspace within the app. It includes a Source Control panel for staging, committing, pushing, and browsing history without using Git commands directly. It also features an in-app diff review tool that can send line-specific comments back to an agent's terminal.
4. Agent Status & Session Intelligence: The app uses official hooks from Claude Code and Codex to determine real-time session status (e.g., "waiting for user input," "running"), preventing confusion between agent pauses and completed tasks. It provides usage alerts based on agent limits (e.g., 5-hour caps) and includes per-session memo pads (saved automatically) that are also readable by the AI Control API.

Problems Solved

1. Pain Point: Context fragmentation and operational overhead when juggling multiple standalone AI CLI terminals. Developers lose time switching windows, lose track of which agent is doing what, and struggle to maintain organized, persistent workspaces for different projects.
2. Target Audience: The primary user persona is a professional software developer or engineer who actively uses AI coding assistants like Claude Code or Codex CLI for daily development tasks. Secondary users include tech leads managing multiple projects and AI enthusiasts experimenting with agent orchestration on macOS.
3. Use Cases:
   • Parallel Project Development: A developer working on two separate features for different repositories can have a dedicated Claude Code session for each, organized into folders, with both sessions live and accessible instantly.
   • AI Orchestration & Oversight: A developer uses Claude Code as a primary "orchestrator" agent. Via the AI Control API, this orchestrator can spawn and manage a secondary Codex CLI session within CLI Manager to handle a specific subtask, monitor its progress in real-time by reading the screen, and intervene if necessary—all while the human developer watches.
   • Workflow Standardization: Teams can create and share shell template scripts within CLI Manager to ensure consistent environment setup (e.g., npm install && docker compose up) across all AI agent sessions for a given project type.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):
   • Pros:
     • Unified Visual Management: Drastically reduces cognitive load by providing a single pane of glass for all AI terminal sessions.
     • Novel Human-in-the-Loop AI Control: The AI Control API enables advanced, transparent collaboration between human and AI, a unique feature not found in the agents themselves.
     • Local-First & Private: All data and API communication are confined to localhost (127.0.0.1), ensuring privacy and security. It is Apple notarized.
     • Cost & Freedom: Free and open-source (MIT license) with no vendor lock-in, allowing customization and community development.
   • Cons:
     • Platform Lock-in: Currently only supports macOS. Windows support is noted as "coming soon," and Linux is not on the roadmap, limiting its user base.
     • Complexity for Simple Use Cases: For a developer using only one AI CLI agent infrequently, the overhead of a dedicated manager app may be unnecessary.
     • Beta Features: Some components, like the official agent hooks and status system, are marked as beta and may have edge cases.
2. Key Alternatives & Differentiation:
   • Native Terminal / iTerm2 + Manual Management: The standard alternative is simply running each AI CLI agent in separate terminal tabs/windows. Differentiation: CLI Manager adds persistent organization, visual session status, cross-session memo pads, integrated Git tools, and the orchestration API, which manual terminal management lacks entirely.
   • IDE-Based AI Agents (Cursor, Windsurf): These are full-fledged IDEs with integrated AI. Differentiation: CLI Manager is agent-agnostic and terminal-centric. It doesn't replace your IDE; it manages the CLI agents that can work outside your IDE or in tandem with it. It supports any CLI tool, not just a single vendor's AI.
   • Other AI Orchestration Platforms (e.g., SmythOS, CrewAI): These are typically cloud-based, complex platforms for building AI automations. Differentiation: CLI Manager is a lightweight, local desktop app focused specifically on managing the terminal sessions of existing AI coding assistants. It's for developer workflow, not for building enterprise-grade AI chains.

Frequently Asked Questions (FAQ)

1. Is CLI Manager safe to use? Does it send my code or data to the cloud? CLI Manager is a local-first application. It does not send your terminal data, code, or project information to any external servers. The AI Control API operates exclusively on 127.0.0.1 (localhost), and the application is Apple notarized for additional security verification on macOS.
2. Can I use CLI Manager with AI agents other than Claude Code and Codex? Yes. While optimized for Claude Code and Codex CLI, CLI Manager's core functionality works with any command-line tool, including Gemini CLI and standard shells (bash, zsh). The AI Control API can be utilized by any script or agent that can communicate via its local MCP/REST server.
3. What happens if the AI Control API is enabled? Can the AI take over my computer? Enabling the AI Control API allows authorized local scripts or agents to control sessions within the CLI Manager app. It cannot control other applications on your system. The user retains ultimate control: any session driven by an AI is visually marked, and you can type into it or use the "Disconnect AI" button to revoke control instantly. The API is off by default and requires a token to access.
4. How does CLI Manager handle Git operations compared to using the Git CLI directly? CLI Manager provides a graphical interface (Source Control panel) for common Git operations like staging, committing, and pushing within a worktree-based workspace. It abstracts the commands but does not replace full Git functionality. For complex Git maneuvers, you can still use the terminal directly within a CLI Manager session. Its integrated diff tool is designed for reviewing agent-generated changes.
5. Is CLI Manager free forever, and what are the licensing terms? CLI Manager is completely free to use and is published under the MIT open-source license. This means you are free to use, modify, and distribute the software. The source code is available on GitHub, ensuring transparency and allowing for community contributions and independent verification.