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T3 Code is a free, open-source workspace for running coding agents such as Claude Code, Codex and Cursor through one interface. It uses the provider subscriptions users already have and adds tools for parallel tasks, Git branches and remote access. Its project is young, and new threads start in full-access mode unless users change the default.
T3 Code, a free, open-source app from T3 Tools Inc., brings several AI coding agents into one workspace, letting developers use their existing provider accounts to run and review coding tasks across devices. The project’s approach is to organize agents and their Git work in one place; it does not sell model access or replace the subscriptions users already pay for.
The project describes itself as an interface for coding agents rather than a model or agent harness. It can run tools including Claude Code, Codex, Cursor, OpenCode, Google Antigravity and Grok Build. Its November 8 installation guide listed 10 providers, including Kiro, Pi, Muse Code and fx. The available agents depend on the installed tools and the project’s supported integrations.
Users authenticate with each provider on the machine running the agents. T3 Code says it does not resell tokens and costs nothing to use; provider billing and plan limits continue to apply. The project also supports separate provider instances using API keys or OpenRouter, according to its FAQ. Its usage page combines reported activity across agents, but the documentation describes cost figures as API-equivalent estimates, not a statement of the user’s actual subscription bill.
For each task, a thread can have its own Git branch and working folder. Users can inspect a diff, then commit, push and open a pull request through the same interface. The app is available for macOS, Windows and Linux, with a web app, command-line server and mobile apps for iOS and Android. Agents run on a chosen computer or server; other devices can connect to control or review that work.
One workspace for coding agents Meet T3 Code
T3 Code brings existing coding agents and their Git work into one interface. It adds a shared workflow while provider bills and usage limits still apply.
One view, several agents
Use providers you already have, with tools to run and review coding tasks together.
Bring your own tools
The project lists Claude Code, Codex, Cursor, OpenCode, Google Antigravity and Grok Build among supported agents.
Keep tasks organized
Each thread can use its own Git branch and working folder, with diffs and Git actions in the interface.
Work across devices
Agents run on a chosen computer or server; web and mobile apps can connect for control and review.
What it does and costs
T3 Code is an interface layered over coding tools users install or connect.
- A shared workspace for agent threads
- Per-task Git branches and review
- Remote access to work on another machine
- Model access and account sign-in
- Billing and plan usage limits
- Provider terms and integration behavior
A careful start matters
The young release has not been independently tested in the supplied material.
Confirm your provider and operating system are listed in the current installation guide.
New threads start in full-access mode unless you change the default.
Review the branch and diff before committing or opening a pull request.
One Workflow Across Coding Agents
Developers who use multiple coding tools often manage separate logins, histories and interfaces. T3 Code’s shared view could make it easier to run tasks in parallel, compare agent output and ask one tool to review work produced by another. Keeping each task in a separate branch and working folder also gives users a clearer point to inspect changes before they reach a project branch.
The cost proposition is narrower than an all-in-one subscription: T3 Code adds an interface, while provider charges and usage limits remain in place. That may suit people already paying for several tools, but offers less to someone content with a single agent and terminal. Its combined usage view may help users compare activity; its estimated costs should not be mistaken for their subscription invoices.
Remote access extends the workflow beyond the computer doing the coding. A developer can start work on a desktop or server and review it from another device, according to the project description. That convenience also makes the defaults and access controls relevant: the source says new threads start in full-access mode unless the user changes the default.
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A Layer Above Existing Tools
AI coding products commonly combine a model with a harness: software that lets the model read files and run commands. T3 Code’s FAQ says the project is neither; it places a shared interface over harnesses users already have installed. In its own metaphor, the model is the chef, the harness is the kitchen and T3 Code is the restaurant.
The source material identifies the project as MIT-licensed open source and gives its version as 0.1.7, dated November 4, 2026. On November 8, it showed 51,990 GitHub stars. The project website also claimed more than 500,000 developers use T3 Code, a figure the source author said they could not independently verify.
The project’s stated feature set centers on a shared thread view, Git actions and the option to change agents mid-task. Its documentation and supported-provider list may change as the software develops, so the listed integrations describe the project at the time of the source check.
“the open-source control plane for coding agents”
— T3 Code homepage
Limits of the Early Release
The software was at version 0.1.7 on November 8, and the source does not provide independent testing of its reliability, security or performance across operating systems and providers. The project’s claim of more than 500,000 developers is also unverified in the supplied material.
It is not clear from the source how every provider integration handles differences in permissions, tool behavior or plan restrictions, or how those details may change as providers update their products. Users remain subject to each provider’s terms and limits. The source also flags the full-access default for new threads but does not detail how every permission setting works.
The usage page’s combined cost figures are described as API-equivalent estimates. The source does not establish that those numbers map to actual bills under subscription plans, which may use different pricing and quotas.
Check Integrations Before Installing
Developers considering T3 Code can check the current installation guide to confirm that their agents and operating system are supported, then authenticate each provider on the machine that will run the work. They can review the thread access settings before starting a task and inspect its branch and diff before committing or opening a pull request.
The supplied material does not give a roadmap or a date for the next release. The next developments to watch are changes to the project’s version, supported providers and documentation, along with clearer evidence about how the young software performs in everyday use.
Key Questions
Does T3 Code include AI model access?
No. T3 Code provides an interface for coding agents users install or connect. Users sign in with their existing provider accounts, and those providers continue to bill them under their own plans.
Which coding agents does it support?
The project’s homepage names Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok. Its installation guide listed 10 providers on November 8, 2026, including Kiro, Pi, Muse Code and fx. The supported list can change.
Can users run and review tasks from another device?
Yes, according to the project description. Agents run on a selected computer or server, while its web and mobile apps can connect to that machine for remote control and review.
Does T3 Code show the actual cost of a subscription?
Not necessarily. The project says its usage page provides API-equivalent cost estimates. Those estimates are not the same as a provider’s subscription bill, and provider plan limits still apply.
What should users check before starting a task?
Confirm that the required provider is supported and installed, sign in through that provider, and review the access settings. The source says new threads start in full-access mode unless the user changes the default.
Source: Thorsten Meyer AI
