Cursor's cloud agents (previously background agents) do a specific thing very well: they take work off your machine. You are in the editor, you have a task you do not want to sit through, you send it to the cloud, and it comes back as a branch with a pull request.
Talyn does the same kind of work from a different place. Each task is a session with its own branch, agent and cloud sandbox, and you run as many as you like. The agent is Claude Code or Codex on your own plan. When it is done, Talyn takes the pull request through checks, conflicts and merge.
What Cursor cloud agents do
From Cursor's own documentation, read on 10 November 2026:
- Run in isolated VMs in the cloud with full development environments, including multi-repository setups.
- Work on a separate branch and push it for handoff.
- Launch from Cursor Desktop, the web at cursor.com/agents, the
iOS app, Slack, GitHub and Bitbucket comments via
@cursor, Linear, and an API. - Connect to GitHub, GitLab, Bitbucket Cloud or Azure DevOps, with read-write access to your repository and any dependent repositories.
- Self-hosted machines run tool execution on hardware you manage, with private networking through Tailscale or a similar client.
- Billing: usage counts against your Cursor plan at the selected model's rate. You set a spend limit on first use. Cloud agents need a Premium or higher plan, Teams or Enterprise. Free and Plus do not include them.
The surface area is the strength here. An agent you can start from a GitHub comment is a real convenience. Talyn has Slack and an API, but nothing like that spread.
Where Talyn is different
It runs on the subscription you already have. Cursor cloud agents use your Cursor plan at the rate of the model you pick. Talyn runs Claude Code on your Claude Pro/Max plan and Codex on your ChatGPT Plus/Pro plan. You sign in with the account. There is no API key and no token markup. Talyn is free with 10 box-hours a month, or $40/month for 200 box-hours. You pay us for the machines, not the model.
Each session is a place to work. A session has a chat, a diff, a file browser, a terminal and run scripts. Send messages while the agent works, or roll the files back to an earlier message. Sessions never touch each other's files.
Threads cover several repositories. Give a thread a goal and it starts a session on every repository that needs a change, then tracks each one.
It goes past the pull request. One button opens the pull request. The same button then fixes failing checks, resolves conflicts and merges. A merge queue lands ready pull requests in order and sends an agent when one breaks.
It watches pull requests it did not create. The dashboard lists every pull request you own or need to review, including ones from teammates, other agents or Dependabot. Send an agent at one and it pushes to that same branch.
It keeps going without you. Scheduled automations run a prompt on a schedule. GitHub automations run on pull request events, with the app closed.
The credential never enters the sandbox. Each session runs in its own Firecracker microVM. A proxy outside the machine adds your credentials, so the agent has no token in its environment to find. A sandbox sleeps after 10 idle minutes and costs nothing while it sleeps.
What Talyn does not do
- No editor integration. If the appeal of Cursor's agents is that they start where you already are, Talyn does not offer that.
- No GitHub comment, Bitbucket or Linear trigger. You start a session from the app, Slack or the API, or an automation starts one for you.
- No public mobile app yet.
- GitHub only.
- Finite hardware. Talyn's sandboxes run on our own machines. You cannot run Talyn's cloud sandboxes on your own hardware.
What we did not find in Cursor's cloud agent docs
We found none of these on the cloud agent docs page (checked 10 November 2026). Cursor may offer them elsewhere.
- A list of every pull request you have open, ordered by what is blocking it.
- A queue that lands ready pull requests in order.
- A way to fix an agent's pull request again after it goes stale.
- Use of your Claude or ChatGPT subscription. The page describes Cursor plan usage and does not mention bringing your own.
Using both
Cursor's agent writes the change and opens the pull request. Talyn tracks it, fixes it when CI turns or main moves, and merges it. Talyn reads GitHub, so it does not matter which tool opened the pull request.
Which one
Use Cursor cloud agents if dispatch is the thing: you want to start work from the editor, from Slack, from a GitHub comment, and get a branch back, and Cursor's plan and model rates suit you.
Use Talyn if you want to run many agents at once on the Claude or ChatGPT plan you already pay for, and have each pull request carried through to merged.