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codeam-cli Review

codeam-cli is a command-line interface component that serves as a workflow-continuity bridge for AI coding agents, enabling supervision and interaction from mobile devices.

shipped Jul 22, 2026freemium
Domain rating21Monthly visits5/mo
codeam-cli — product screenshot

Why it matters

1Supports supervision of AI coding agents like Claude Code and OpenAI Codex from any device, asynchronously.
2Offers a freemium pricing model, with a Pro plan available at $9.99 per month.
3Integrates with development tools such as GitHub Codespaces, Jira, Linear, Azure DevOps, and Slack.
4Version 3.2 (June 14, 2026) introduced a 14-day Pro trial and redesigned terminal-first session views.

About codeam-cli

Business Model
Freemium SaaS
Platforms
iOS, Android, Web
Target Audience
Developers who need to manage coding tasks and workflows while away from their desktops.

Pricing Plans

Free
$0 / forever
  • 5 agent tasks per day
  • 5 AI code reviews + 10 Smart Composer calls per day
  • 5 @codeagent team mentions per day
  • 1 Codespace deploy per day
Pro
$9.99 / per month
  • Unlimited everything
  • Pair every device you own
  • Team Spaces for up to 5 collaborators
  • Run your agent anywhere

Leadership

Edgar DurandFounderLinkedIn

Specs

API Available

Yes, public API

Screenshots

overview

What is codeam-cli?

codeam-cli is a AI workflow-continuity tool developed by Edgar Durand that enables developers to supervise, approve, and redirect AI coding agent sessions from any device, asynchronously. It functions as the terminal companion for CodeAgent Mobile, wrapping AI coding agents like Claude Code or OpenAI Codex in a PTY for remote interaction.

features

Key Features of codeam-cli

codeam-cli, as part of the CodeAgent Mobile ecosystem, provides a suite of features designed to enhance the remote supervision and management of AI coding agents. These capabilities facilitate workflow continuity and collaboration across various devices and development environments.

  • Supervise AI coding agents from mobile devices (iOS, Android) and web browsers.
  • Automated pairing with existing coding environments and GitHub Codespaces.
  • Team collaboration features for shared live agent sessions with up to five collaborators.
  • Support for initiating AI agent sessions from work items (Jira, Linear, Azure DevOps tickets) and conversations (Slack threads).
  • Asynchronous session supervision, allowing approval and redirection of AI agent tasks remotely.
  • Deployment and operation of GitHub Codespaces directly from a mobile device.
  • Integration with popular AI coding agents including Claude Code, GitHub Copilot, Cursor, Windsurf, JetBrains AI, OpenAI Codex, and Gemini.
  • Live preview for running development servers via tunnel (introduced in Version 3.1.0).
  • Native Agent Client Protocol (ACP) runtime for cleaner agent output and faster lifecycle events (introduced in Version 3.1.0).
  • Redesigned terminal-first session view for clearer real-time agent activity (introduced in Version 3.2).

use cases

Who Should Use codeam-cli?

codeam-cli is primarily designed for developers, QA engineers, and development teams who require continuous oversight and interaction with AI coding agents, particularly when away from their primary workstations. Its capabilities support remote work, mobile-first development operations, and collaborative coding workflows.

  • Developers needing to supervise long-running AI agent tasks (e.g., refactors, debugging, deploys) from a mobile device, approving diffs and course-correcting prompts.
  • QA Engineers who need to follow the progress of AI agents, answer questions, and receive notifications on their phone to maintain workflow momentum.
  • Teams and collaborators requiring shared live agent sessions where multiple members can join, send prompts, and track agent activity.
  • Individuals who deploy and operate GitHub Codespaces directly from their phone, including installing and authenticating AI agents.
  • Users who initiate AI agent sessions from work items in Jira, Linear, or Azure DevOps, or from conversations in Slack threads.

how to use

How to Use codeam-cli

To begin using codeam-cli, users typically install the CLI component and then pair it with the CodeAgent Mobile application. This setup enables the remote supervision and interaction with AI coding agents from various devices.

  • 1Install the codeam-cli on your development machine.
  • 2Download and install the CodeAgent Mobile application on your iOS or Android device.
  • 3Pair your terminal session with the mobile app, often via a one-tap pairing mechanism.
  • 4Initiate an AI agent session within your IDE or terminal, wrapping it with codeam-cli.
  • 5Supervise the AI agent's progress, approve actions, and send new prompts from your mobile device or web browser.
  • 6Utilize integrations with platforms like GitHub Codespaces, Jira, or Slack to streamline session initiation and management.

pricing

codeam-cli Pricing & Plans

codeam-cli operates under a freemium business model, offering a free tier with core functionalities and a Pro plan for advanced features. The Pro plan is competitively priced within the AI developer tools market.

  • Free: $0 (forever) - Includes basic supervision and interaction capabilities.
  • Pro: $9.99 per month - Offers enhanced features such as extended session history, advanced collaboration tools, and priority support. A 14-day Pro trial was introduced in Version 3.2.

Pros

  • +Enables remote supervision and interaction with AI coding agents from any device (mobile, web), ensuring workflow continuity.
  • +Supports a wide array of AI coding agents, including Claude Code, GitHub Copilot, OpenAI Codex, and Gemini.
  • +Facilitates team collaboration on AI agent sessions with shared live spaces for up to five collaborators.
  • +Integrates with common development tools and platforms like GitHub Codespaces, Jira, Linear, Azure DevOps, and Slack.
  • +Offers a freemium pricing model, making it accessible for individual developers and teams.
  • +Provides a native Agent Client Protocol (ACP) runtime for improved agent output and lifecycle events.

Cons

  • Requires installation of both a CLI component and a separate mobile application for full functionality.
  • While supporting many agents, it acts as a bridge rather than a native, integrated AI coding environment.
  • The effectiveness of remote supervision is dependent on the stability and features of the underlying AI coding agent.
  • Specific user reviews for the codeam-cli component are often integrated into broader CodeAgent Mobile reception, making isolated assessment challenging.
  • As a relatively new tool, its long-term market adoption and feature evolution are still in progress.

Policies

Pricing Page

View Pricing

Similar Tools

codeam-cli vs Competitors

codeam-cli, as part of the CodeAgent Mobile platform, positions itself as a multi-agent mobile remote control for AI coding agents. It differentiates itself through broad agent and IDE support, focusing on workflow continuity for developers supervising long or autonomous agent runs.

1
AgentsRoom AI Remote Dev Agent

It offers a comprehensive mobile command center for various AI coding agents, providing real-time monitoring and remote terminal input.

Similar to codeam-cli, AgentsRoom focuses on remote supervision and interaction with AI coding agents from any device, but it emphasizes a mobile command center and Kanban task board for workflow management.

2

Cursor is an AI-first code editor that enables agents to run autonomously in cloud environments and be monitored from any device, including mobile.

While codeam-cli is a terminal companion, Cursor integrates AI agent supervision directly into an AI-first code editor, allowing for autonomous cloud execution and mobile monitoring.

3
Kilo Code

Kilo is an open-source AI coding agent that operates across VS Code, JetBrains, CLI, and cloud environments, featuring always-on, hosted agents.

Kilo Code provides a broader platform for agentic engineering across multiple interfaces (IDE, CLI, cloud) and offers persistent, hosted agents, whereas codeam-cli focuses specifically on a PTY-wrapped terminal companion for mobile agents.

4

OpenCode is a terminal-native AI agent that is provider-agnostic, supporting over 75 AI model providers and prioritizing privacy with local model options.

OpenCode is a highly flexible, open-source CLI agent that allows users to choose their preferred AI model, contrasting with codeam-cli's role as a bridge for specific agents like Claude Code or Codex.

5

Anthropic's terminal-native agent excels in multi-file reasoning and long-running tasks, supporting background and cloud sessions.

Claude Code is a direct AI coding agent that operates natively in the terminal and supports async cloud sessions, aligning with codeam-cli's goal of providing workflow continuity for such agents.

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