Talyn vs T3 Code

T3 Code is a free, MIT-licensed control surface for the agent CLIs already installed on your machine. Talyn runs Claude Code and Codex sessions in parallel cloud sandboxes on your own subscription, so the work goes on with your laptop closed.

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Use T3 Code instead when

You want to drive agents on your own machines: six harnesses, six git hosts, your own hardware, no vendor in the middle. It costs nothing, and you are happy to be the one pressing the button.

This is one of the closest things to Talyn that exists, and it is very good. It is also free, MIT-licensed, and releasing often. Both give each task its own agent on its own branch. The useful question is where that agent runs.

T3 Code is a control surface for agents running on your machines. Talyn runs each session in its own cloud sandbox, so the work goes on while you are not there. Most of what follows comes from that.

What T3 Code is

In its own words it is "the open-source control plane for coding agents", orchestrating Claude Code, Codex, Cursor, Grok Build, OpenCode and Antigravity from one place. Its README puts it more precisely: an "agent harness control surface" that "enables control of the agents on your machine".

The design principle is stated plainly in its architecture doc: "T3 Code keeps execution in the environment that owns the workspace. Web, desktop, and mobile clients control it over authenticated RPC." There is no T3-operated compute that runs your agents. It drives the provider CLIs you have already installed and logged into, on hardware you own.

As of 10 November 2026 it is MIT-licensed and free, and its homepage lists no paid tier. Its terms said in September "T3 Code is currently offered without a T3 Tools subscription fee unless we clearly state otherwise for a feature." The homepage now claims "55k+" GitHub stars, and the repository shows about 55,300. It also claims to be "Tolerated by over 500,000 devs". That number is theirs and carries no source, so take it as they present it.

Where they are straightforwardly better

These are real, and several of them we have no answer to.

Their PR support is also deeper than their own homepage suggests. "One button to commit, push, and make a PR" undersells it: it tracks existing pull requests server-side "even when your apps are closed", sorts them by what is blocked on you, syncs GitHub's viewed-file marks bidirectionally, requests reviewers, merges, arms auto-merge, opens reverts, and has a Fix button that hands a failing check and its unresolved review threads to an agent as a prompt.

If you read a comparison page telling you T3 Code just opens pull requests, close it.

The first difference: who has to be there

Every state-changing action in T3 Code starts with a person in the UI. There is no cron, no inbound webhook, no scheduler, and no merge queue of its own. Its unattended behaviour is housekeeping: settling idle threads, fast-forwarding the default branch, cleaning up worktrees, not agent work.

That is a coherent choice for a tool whose whole architecture is your machine, your control. It also means the pull request that goes red at 11pm is still red at 9am.

Talyn's sessions run in the cloud. Start several, close the laptop, and pick them up later in the desktop app or the browser. Then the work that needs nobody present:

T3 Code needs "That machine must stay running and reachable while you work." Talyn needs nothing of yours to be awake.

The second difference: what the agent is running inside

T3 Code's isolation primitive is the git worktree, and it says so openly in its internals doc: "Prompt instructions and tool denial do not create a native sandbox." Whatever sandboxing you get is whatever Codex, Claude or Cursor brings, on your own OS user account. Its permission modes run from "Supervised" to "Full access", and the initial default is Full access, no approval prompts.

For agents you are watching, on your own machine, that is a reasonable default and a fast one.

Each Talyn session runs in its own Firecracker microVM on our hardware. Your subscription token is never inside it: a proxy adds credentials from outside the machine. Talyn builds an image of your repository with its setup done, and a sandbox sleeps after 10 idle minutes. That matters more the less you are watching.

You still get a terminal in the sandbox, a diff and run scripts. In the desktop app, a session can also run in a git worktree on your own computer, like T3 Code, and use none of your box-hours.

What Talyn does not do

Which one

Use T3 Code if you want to drive agents yourself, across more harnesses and more git hosts than we support, on hardware you control, for nothing. For anyone outside GitHub it is the only one of the two that works at all.

Use Talyn if you want your sessions to keep running with the laptop closed, in a sandbox that never sees your token. Talyn also covers what happens next: the pull request that went stale overnight, the check that failed on Friday, and the dependency bump nobody schedules.

Running both is not a strange thing to do.

Sources

Everything this page says about T3 Code was read from their own documentation on . Products change; if something here is out of date, tell us and we will fix it.

Talyn does this for you.

Coding agents in cloud sandboxes, from the first prompt to the merged pull request, on the Claude or ChatGPT plan you already pay for. Free with 10 box-hours a month.

Related

Sessions

Sessions

A session is one task on one branch, with its own agent, chat, diff, files, terminal and run scripts, in a cloud sandbox. Run several at once on your Claude or ChatGPT plan, and open the pull request from the same screen.

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The merge queue

Merge queue

Flag a pull request keep-mergeable and Talyn watches it. The moment it falls behind, conflicts, or goes red, an agent fixes it. Then the queue lands it in order, the second it is green. No organisation, no admin, no Enterprise plan.

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GitHub integration

GitHub automations

The GitHub integration runs automations on pull request events: on these events, matching these conditions, do these actions. Label it, request a reviewer, post a comment, send an agent to fix it, or drop it in the merge queue. It watches every pull request in your repositories (including ones you did not open) and it runs with the app closed.

Read more

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