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DialTM VS CloudCLI

Compare DialTM VS CloudCLI and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

DialTM logo DialTM

DialTM: A Comprehensive Online Meeting Solutions For All Types of Virtual Discussions. Video Conferencing Solution | Webinar| Events | Live streaming | Calendar

CloudCLI logo CloudCLI

Shared cloud environments for AI coding agents. Run Claude Code, Cursor CLI, Codex, and Gemini CLI from any device, API, or automation tool.
Visit Website
  • DialTM Landing page
    Landing page //
    2022-02-23

DialTM is the answer to all business communication & coordination challenges faced by SMBs in the Covid era and beyond. With its easy-to-use B2B API that can be integrated with existing tool sets of businesses, DialTM aims to solve all business collaboration issues in the new video-powered business landscape. It offers customization and provides vertical virtual communication equipped with the full set of collaborative tools to allow businesses to spring back on their feet and maintain a productive workforce. Some of its noteworthy features include:

โœ” Scheduling availability-based appointments

โœ” My Space meeting link for each user

โœ” Events, Webinars, Live-streaming, Video-on-demand

โœ” AI-based attention monitoring

โœ” Real-time document verification

โœ” Notes & shared documents

โœ” Co-browsing for forms/documents

โœ” Speech-to-text facility

โœ” High data security is achieved with standard end-to-end encryption techniques

โœ” Poll & Quiz, Q&A

DialTM brings you video conferencing solution with most secured video/audio meetings, chat, file sharing features, quality webinars & easy team collaboration across all devices.

Sectors and Industries that can benefit from our robust solution include: Banking, Insurance, Healthcare, Education, Retail, BPO's, Event Management, Verification firms, and many more.

  • CloudCLI CloudCLI Dashboard
    CloudCLI Dashboard //
    2026-04-01
  • CloudCLI CloudCLI Web IDE
    CloudCLI Web IDE //
    2026-04-01
  • CloudCLI Opening your dev environment on VSCode
    Opening your dev environment on VSCode //
    2026-04-01
  • CloudCLI Opening an environment on your mobile
    Opening an environment on your mobile //
    2026-04-01

Most engineering teams run AI coding agents on individual laptops. Close the lid, lose the session. When a new developer joins, they spend hours recreating the same setup.

CloudCLI gives your team shared cloud environments where AI agents run 24/7. Every developer gets their own isolated container, but the team shares MCP servers, context files, and configurations across all projects. Onboarding takes minutes.

Sessions can be started through a full REST API, so workflows in Linear, Jira, or n8n can trigger background coding agents programmatically. A ticket gets filed, an agent starts coding, the developer reviews the PR in the morning.

The web UI and mobile interface include a file explorer, git explorer, and full shell access. Review PRs on your iPad, make fixes from your phone, then pick up in VS Code over SSH.

Unlike GitHub Codespaces, CloudCLI is purpose-built for agentic development. Claude Code, Cursor CLI, Codex, and Gemini CLI come pre-installed. Sessions survive laptop closure. Teams bring their own API keys with no vendor lock-in.

Built on an open-source core (AGPL-3, 9,000+ GitHub stars). Self-host for data sovereignty or use the managed service from โ‚ฌ7/month.

DialTM

Website
dialtm.in
Pricing URL
Official DialTM Pricing
$ Details
paid Free Trial $12.99 / Monthly (No Time Limit & 150 Participant)
Platforms
Web Android iOS Google Chrome Firefox Linux REST API Cross Platform iPhone Edge Browser
Release Date
2019 March
Edit details

CloudCLI

Website
cloudcli.ai
Pricing URL
Official CloudCLI Pricing
$ Details
paid Free Trial โ‚ฌ7.0 / Monthly
Platforms
Web Mobile
Release Date
-
Startup details
Country
Netherlands
State
Zuid Holland
Founder(s)
Simos Mikelatos
Employees
1 - 9
Edit details

DialTM features and specs

  • Video Conferencing
  • Webinars and live sessions
  • Whiteboard
  • Recording Playback & Download Option
  • Secure & Scalable
  • Secure Data Storage
  • Speech-to-text
  • Co-browsing
  • Calendar and Scheduler
  • Calendar sync
  • Attention monitori
  • Appointments
  • Polls & Quizzes
  • Q&A
  • Video Streaming
  • Google Calendar Sync

CloudCLI features and specs

  • Multi-Agent Support
    Run Claude Code, Cursor CLI, OpenAI Codex, and Gemini CLI side by side. Bring your own API keys. No vendor lock-in.
  • Git Integration
    Manage branches, view commit history, and browse files with syntax highlighting directly from the browser or mobile app.
  • Persistent Cloud Sessions
    agents keep running 24/7. Close your laptop, switch devices, or walk away entirely and your session survives with full context intact
  • Web UI & Mobile App
    Chat with agents, browse files, manage git branches, and monitor sessions from a browser or phone. No VS Code required.
  • Cross-Device Sync
    Start planning a feature on your phone, pick up the same session in VS Code at your desk, or kick off from a Linear ticket and continue in your IDE.
  • Plugin Ecosystem
    Extend your workflow with plugins and MCP integrations. Customize how your agents work to fit your team's process.
  • Shared Team Environments
    Every developer gets their own isolated container while the team shares MCP servers, context files, and configurations. Onboard new developers in minutes, not hours.
  • API-Driven Session Management
    Start, stop, and manage environments through a full API. Trigger coding agents programmatically from Linear, Jira, n8n, or any automation tool.

Analysis of CloudCLI

Overall verdict

  • CloudCLI appears to be a niche AI-powered command-line tool aimed at developers who want to interact with cloud services or AI models directly from the terminal, but there is limited independent, verifiable information available about its performance, reliability, and long-term support, so it should be evaluated cautiously and tested on a small scale before committing to it for critical workflows.

Why this product is good

  • Offers a command-line interface that can speed up developer workflows without needing to switch to a GUI or browser
  • Potentially integrates AI capabilities directly into scripting and automation pipelines
  • May reduce context-switching for developers already comfortable working in terminal environments
  • Could support faster prototyping if the tool's claimed features work as advertised

Recommended for

  • Developers who prefer terminal-based workflows over GUI tools
  • Teams experimenting with AI-assisted coding or cloud automation who want to test lightweight CLI tools
  • Early adopters comfortable with newer, less-established products
  • Users who need lightweight AI integration into existing shell scripts or CI/CD pipelines

DialTM videos

+ Add

DialTM: The Future of Video Collaborations Is Here

CloudCLI videos

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Category Popularity

0-100% (relative to DialTM and CloudCLI)

DialTM

CloudCLI

Communication
100 100%
Communication
0% 0
Productivity
0 0%
Productivity
100% 100
Online Meetings
100 100%
Online Meetings
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

Questions & Answers

As answered by people managing DialTM and CloudCLI.

Which are the primary technologies used for building your product?

CloudCLI's answer:

CloudCLI is built with a modern JavaScript/TypeScript stack:

  • Frontend: React with Vite for fast builds, Tailwind CSS for styling, and CodeMirror for the in-browser code editor with syntax highlighting
  • Backend: Node.js powering the server and session management
  • Infrastructure: Docker for containerized cloud sessions, with support for self-hosting
  • Mobile: A dedicated mobile app for managing sessions on the go

The entire codebase is open source under AGPL-3 and available on GitHub.

Why should a person choose your product over its competitors?

CloudCLI's answer:

Compared to tools like GitHub Codespaces, CloudCLI is purpose-built for agentic development rather than traditional coding. Here's what sets it apart:

  • AI-agent-first: While competitors give you a cloud IDE, CloudCLI gives your AI agents a persistent home in the cloud. Your agents keep working even when your laptop is closed.
  • Open-source web UI and mobile app: No other CDE ships with both a browser-based UI and a native mobile app for managing sessions on the go. And it's all open source.
  • Cross-device continuity: Start planning on your phone, continue in VS Code at your desk, or kick off from a Linear ticket. Your session context carries over seamlessly.
  • Multi-agent support: Run Claude Code, Cursor CLI, OpenAI Codex, and Gemini CLI from one platform instead of managing separate setups.
  • Affordable: Starting at โ‚ฌ7/month for the managed service, or self-host for free with Docker.

What makes your product unique?

CloudCLI's answer:

CloudCLI is one of the only cloud development environments built specifically for AI coding agents. Where Codespaces and Gitpod give you a cloud editor, CloudCLI gives your agents a persistent home that stays alive 24/7. What makes it particularly valuable for teams: shared MCP servers and environment configs mean every developer starts from the same baseline. A full REST API means sessions can be triggered from automation tools, not just opened manually. Background agents can run overnight and produce PRs for review in the morning. And the entire platform is open source (AGPL-3) so teams can self-host on their own infrastructure.

How would you describe the primary audience of your product?

CloudCLI's answer:

CloudCLI is built for engineering teams that use AI coding agents as part of their daily workflow. This includes teams adopting agentic development practices with tools like Claude Code, Cursor CLI, or Codex who need shared environments where MCP servers, context files, and configurations stay consistent across every developer. It also serves engineering managers looking to integrate AI agents into existing workflows through API-driven automation with tools like Linear, Jira, and n8n. Solo developers and open-source contributors who want persistent remote access from any device are also a core audience, along with organizations that need to self-host for data sovereignty or regulatory compliance.

What's the story behind your product?

CloudCLI's answer:

CloudCLI started as an open-source project to solve a problem every developer using AI coding agents hits: your agent ties up your terminal and stops working when your laptop sleeps. We built a cloud-native environment where agents run persistently, paired with an open-source web UI so anyone could manage sessions from a browser or phone. As teams started adopting it, the focus shifted to shared environments, where team-wide MCP servers, configurations, and context files could be maintained in one place instead of duplicated across every developer's machine. The project grew to 9,000+ GitHub stars organically with no marketing. Today CloudCLI offers both a free self-hosted option and a managed cloud service starting at โ‚ฌ7/month.

User comments

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What are some alternatives?

When comparing DialTM and CloudCLI, you can also consider the following products

Zoom - Equip your team with tools designed to collaborate, connect, and engage with teammates and customers, no matter where youโ€™re located, all in one platform.

GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.

Polycom - Polycom is a platform that offers services to users in the video conferencing area and enables them to stay connected with their team members and employees even through the home.

Gitpod - One click dev environment for GitHub

Microsoft Teams - Microsoft Teams provides the enterprise-level security, compliance and management features you expect from Office 365, including broad support for compliance standards, and eDiscovery and legal hold for channels, chats, and files.

Qoder IDE - Qoder is an AI-powered agentic coding platform and IDE that automates complex software development tasks using autonomous AI agents.

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