TermSquad

Always-on managed cloud computer for AI coding agents with multi-agent orchestration.

What is TermSquad?

TermSquad is a managed Linux cloud computer built for AI coding agents. Developers install their chosen agents — Codex, Claude Code, OpenCode, Cursor, GitHub Copilot — into persistent sessions that keep running after the laptop closes, then reconnect from a desktop browser, phone, or SSH. Its Squad feature orchestrates multiple agents at once: a lead agent assigns implementation and review to others, runs tasks in parallel, and collects results, while Squad Memory keeps project context shared and Debate mode has two agents challenge each other's proposals over multiple rounds.

Key features

  • Persistent Linux sessions for AI coding agents that survive closed laptops
  • Reconnect from desktop browser, mobile web terminal, or SSH
  • Squad multi-agent orchestration: lead agent delegates to parallel workers
  • Squad Memory shares project context across agents
  • Debate mode: two agents propose and challenge each other in rounds
  • Supports Codex, Claude Code, OpenCode, Cursor, and GitHub Copilot
  • Repositories, files, and configs live in the remote environment

Pros

  • Coding work continues across devices with no local machine dependency
  • Brings your own agents and model subscriptions rather than replacing them
  • Debate and parallel orchestration go beyond single-agent setups
  • Launched with working dashboard and mobile-friendly terminal

Cons

  • Brand new — launched September 2026, so reliability is unproven
  • No published pricing yet
  • Company background is thinly documented in public sources

TermSquad at a glance

PricingPaid
CategoryCoding & Development
Platformsweb
Official websitetermsquad.com
cloud-computercoding-agentsmulti-agentpersistent-sessionssshsquad-memory

How to choose the right Coding & Development tool

The right coding tool depends on where you write code and how much of your codebase it can understand. IDE integration is the first filter — a tool that lives in your editor, sees your project files and respects your stack will help far more than a general chatbot you paste snippets into. Look for accurate completions, clear explanations of suggested changes, and strong refactoring and debugging support for your main languages. Privacy deserves real attention: check whether your code is used for training, and whether a self-hosted or enterprise option exists for sensitive projects. Price against the hours it actually saves — most developers feel the difference within the first week of real use.

Compare all Coding & Development tools →

TermSquad FAQs

What is TermSquad?

TermSquad is a managed Linux cloud computer built for AI coding agents. Developers install their chosen agents — Codex, Claude Code, OpenCode, Cursor, GitHub Copilot — into persistent sessions that keep running after the laptop closes, then reconnect from a desktop browser, phone, or SSH. Its Squad feature orchestrates multiple agents at once: a lead agent assigns implementation and review to others, runs tasks in parallel, and collects results, while Squad Memory keeps project context shared and Debate mode has two agents challenge each other's proposals over multiple rounds.

What are the main features of TermSquad?

TermSquad offers Persistent Linux sessions for AI coding agents that survive closed laptops, Reconnect from desktop browser, mobile web terminal, or SSH, Squad multi-agent orchestration: lead agent delegates to parallel workers, Squad Memory shares project context across agents, Debate mode: two agents propose and challenge each other in rounds, Supports Codex, Claude Code, OpenCode, Cursor, and GitHub Copilot and Repositories, files, and configs live in the remote environment.

How much does TermSquad cost?

TermSquad is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.

What are the pros and cons of TermSquad?

Strengths of TermSquad include Coding work continues across devices with no local machine dependency; Brings your own agents and model subscriptions rather than replacing them; Debate and parallel orchestration go beyond single-agent setups. On the downside, Brand new — launched September 2026, so reliability is unproven; No published pricing yet; Company background is thinly documented in public sources.