Compare

AI agent workspaces for engineering teams, compared

Six products where a team and its AI agents work together, judged on what an engineering team needs.

The short answer

  • Claude Cowork for individual knowledge work on Anthropic's cloud; sessions are not shared1.
  • Cursor if your engineers live in its editor and want cloud agents that open pull requests3, 4.
  • Viktor for one shared AI coworker in Slack or Teams5, 6.
  • Dust for company-wide agents over your knowledge and tools7, 8.
  • Perplexity Computer for research-heavy work in shared projects9, 10.
  • Leverage Computer for engineering teams that already run Claude Code or Codex every day and want to run far more of it together: shared sessions, work that keeps going with laptops closed and starts from webhooks or schedules, and rules on every tool call11, 12, 17, 13.

Who does the work?

One person, one assistantClaude Cowork: your sessions and your files1.
One shared coworkerViktor: one instance and context for the whole team5.
Company agentsDust: agents built on your company's knowledge and tools7.
Many shared sessionsCursor and Leverage Computer: many agent sessions that people start and share4, 12.
Decide who does the work, then compare features.

What an engineering team should check

  1. Multiplayer. Can teammates see, join and continue each other's agent work?
  2. Where agents run. A sandbox per task, a computer per user, or a lasting machine per session.
  3. Coding. Real repositories, terminals and pull requests, with the coding agents your team already uses.
  4. Governance. Approval before risky actions, a record of what ran, admin controls.
  5. Price model. Per seat, per workspace or per use.

Side by side

SharingWhere agents runCodingGovernancePrice
Claude Cowork"Sessions can't be shared"; artifacts can1Anthropic's cloud1Positioned for work "beyond coding"1Admins control auto-approve1Claude plans; Team from $20 per seat a month, billed yearly2
Cursor (Teams)Team sees agents, read-only by default4Isolated cloud VMs4Yes; opens pull requests4SSO on Teams; audit logs on Enterprise3$30+ per user a month3
ViktorOne shared instance and context per workspace5"His own computer in the cloud"5Opens pull requests5Confirms high-stakes actions; audit logs on Enterprise5Team from $100 a month in shared credits6
DustCreate and share agents7Not stated7Code reviews; GitHub connector7Permission model; audit logs on Enterprise7, 8Pro 24€ per seat a month, billed yearly8
Perplexity ComputerShared projects and files9A container per task10Coding is one of its listed workflows9Roles and activity logs10Enterprise Pro and Enterprise Max plans10
Leverage ComputerWatch, steer, queue or stop live12Its own VM per session, persistent disk11Claude Code, Codex and Grok Build; GitHub pull requests14, 15Allow, ask or deny per tool; every call recorded13$0.50 per agent hour; people free16

The options

Claude Cowork: for individual knowledge work

Strengths

  • Brings "Claude Code's agentic capabilities to knowledge work beyond coding"1.
  • Runs remotely: "Work continues if you close your laptop", and scheduled tasks run in the cloud1.
  • Projects keep their own files, links, instructions and memory1.

Weaknesses

  • "Sessions can't be shared with others, but you can share individual artifacts"1.
  • Coding itself is Claude Code's job; see our page on Claude Code for teams.

Price. Included in paid Claude plans; Team Standard $20 per seat a month billed yearly2.

Cursor (Teams with cloud agents): for teams that live in the Cursor editor

Strengths

  • Cloud agents "run in isolated VMs in the cloud with full development environments" and produce pull requests4.
  • Start them from Slack, Linear, GitHub, the web or the API4.
  • Teams adds a team marketplace for rules, skills and plugins, SSO and Bugbot code reviews3.

Weaknesses

  • Teammates can see agents started under the team, but "Viewing is read-only" unless an admin enables follow-ups4.
  • Audit logs and repository, model and MCP access controls are on Enterprise3.

Price. Teams $30+ per user a month; Enterprise custom3.

Viktor: for one shared AI coworker in Slack or Teams

Strengths

  • Lives in Slack and Microsoft Teams and connects to "9,800+ tools"5.
  • "All team members on a plan share the same Viktor instance and context"5.
  • Asks for confirmation before high-stakes actions; admins decide which tools need approval5.

Weaknesses

  • One agent for the workspace, rather than many sessions people run side by side5.
  • Audit logs and SAML SSO are on Enterprise5.

Price. Free with up to $100 in credits to start; Team from $100 a month for 40,000 shared credits, priced per workspace, not per seat6.

Dust: for company-wide agents over your knowledge

Strengths

  • "Multiplayer AI for human-agent collaboration" with 70+ connectors, including Slack and GitHub7.
  • 20+ models from several providers7.

Weaknesses

  • Its homepage does not say agents get their own computer7.
  • SCIM, audit logs and custom retention are on Enterprise8.

Price. Pro 24€ per seat a month billed yearly (30€ monthly); Max 120€ (150€); prices exclude VAT8.

Perplexity Computer: for research-heavy work in shared projects

Strengths

  • Projects give "a persistent file system where humans and agents edit the same files"9.
  • "Each task session runs in its own isolated compute container with a dedicated filesystem and browser instance"10.
  • Admins get roles and logs of all Computer activity10.

Weaknesses

  • For companies, it is on the Enterprise Pro and Enterprise Max plans10.
  • Personal memory and connector accounts stay with each person9.

Price. Enterprise Pro and Enterprise Max plans, with monthly credits per seat10.

Leverage Computer: for teams that run Claude Code or Codex every day and want to run much more of it

We make Leverage Computer. This section uses our own public pages, and it says where Leverage Computer does not fit.

Leverage Computer is the team agent workspace: spaces and threads for people, and agent sessions that each run on their own VM, in one workspace with shared memory in Git11, 12, 15.

Strengths

  • Multiplayer sessions. Watch, steer, queue or stop a teammate's session; share it like a doc12.
  • A computer per session with sudo, a terminal, a browser and a persistent disk; it sleeps when idle11.
  • The coding agents you already use: Claude Code, Codex and Grok Build, on your own plans or API keys14.
  • Governance: agents never hold your keys; per-tool allow, ask or deny; every call recorded13.
  • Shared memory: instructions, memory and skills in Git; agents propose changes and non-managers' changes go to review15.
  • Your own environments. Set variables and secrets and pick them per space or session. A secret can be added to HTTPS headers by the network, so its value never enters the VM11.
  • PR Auto-fix. Turn it on for a pull request, and the agent fixes failed checks, answers review comments and resolves merge conflicts until it is merged or closed15.

Where Leverage Computer is the wrong choice

  • Mostly non-engineering work such as research or operations. Perplexity Computer, Dust or Viktor are built for that.
  • Self-hosting required. Leverage Computer does not offer it.
  • A single editor-based workflow in Cursor already covers your needs.
  • A fixed per-seat budget is a must. Leverage Computer bills agent hours, plus AI usage if you pay for it from Leverage credits16.

Price. $0.50 per agent hour on Standard; people and storage free; AI from your own plans or credits16.

Inside one Leverage Computer session

People

Watch it live

Steer or queue a message

Approve tool calls

Share as viewer or collaborator

Environment

Variables per space or session

Secrets added at the network

Values hidden from transcripts

The computer

Its own VM with sudo

Claude Code, Codex or Grok Build

Sleeps when idle

terminalbrowserfilesdisk

Git

Every turn committed

Team memory and skills

What it makes

Pull requests with Auto-fix

Private preview links

Published pages

Scheduled and event runs

One session, one computer. The marked parts matter most for this comparison.
Workspace memory in Leverage Computer, open on the topic file webhooks.md, next to the tree of memory files.
Workspace memory: what the team's agents have learned, as files in Git.

Also considered

  • OpenAI workspace agents in ChatGPT. We could not load OpenAI's product and help pages to check the details, so we have left them out until we can.
  • Devin, GitHub Copilot cloud agent and Factory. Compared on our page of Devin alternatives.

How to choose

  1. Who does the work? One person with an assistant (Cowork), one shared coworker (Viktor), company-wide agents (Dust), or many agent sessions people run and share (Cursor, Leverage Computer).
  2. Is it mostly code? Pick a product with real development machines and pull requests: Cursor or Leverage Computer4, 11.
  3. Must teammates join live and approve actions? Leverage Computer12, 13.

Questions

What is an AI agent workspace?
A shared place where people and AI agents work with the same files, tools and context. The products here differ in who can see agent work and where the agents run.
Can I share Claude Cowork sessions with my team?
No. Anthropic says Cowork sessions cannot be shared, but individual artifacts can1.
Which agent workspaces support Claude Code and Codex?
Leverage Computer runs Claude Code, Codex and Grok Build side by side14. Cursor runs its own cloud agents4.

Sources

Checked on 12 November 2026.

  1. Claude Help Center, get started with Claude Cowork: support.claude.com/en/articles/13345190-get-started-with-claude-cowork
  2. Claude, pricing: claude.com/pricing
  3. Cursor, pricing: cursor.com/pricing
  4. Cursor docs, cloud agents: cursor.com/docs/cloud-agent
  5. Viktor, homepage: viktor.com/
  6. Viktor, pricing: viktor.com/pricing
  7. Dust, homepage: dust.tt/
  8. Dust, pricing: dust.tt/home/pricing
  9. Perplexity, shared workspaces changelog: www.perplexity.ai/changelog/shared-workspaces-personal-computer-for-windows-and-model-council
  10. Perplexity Help Center, Computer for Enterprise: www.perplexity.ai/help-center/en/articles/13901210-computer-for-enterprise
  11. Leverage Computer, the computer underneath: leverage.computer/compute/
  12. Leverage Computer, work in the open: leverage.computer/teams/
  13. Leverage Computer, AI governance: leverage.computer/governance/
  14. Leverage Computer, harnesses: leverage.computer/harnesses/
  15. Leverage Computer, Git under everything: leverage.computer/git/
  16. Leverage Computer, pricing: leverage.computer/pricing/
  17. Leverage Computer, automations: leverage.computer/automations/