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TL;DR
T3 Code is a free, open-source app that brings multiple AI coding agents into one interface and can give each task its own Git branch. It uses developers’ existing provider accounts rather than reselling tokens, so provider billing and plan limits still apply.
T3 Code, an open-source project from T3 Tools Inc., brings coding agents including Claude Code, Codex, Cursor and Google’s Antigravity into one interface, according to the project’s website and documentation. It is aimed at developers juggling separate tools and subscriptions, and uses their existing provider accounts rather than selling access to models or tokens.
The app brings agent conversations, code changes and Git actions into a shared workspace. Developers can run agents on a chosen machine, such as a laptop, desktop or server, and connect from desktop, browser or mobile apps. The project also describes a command-line server. It says it supports macOS, Windows and Linux, as well as iOS and Android access.
According to the project’s installation guide, the supported agents include Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok Build, along with Kiro, Pi, Muse Code and fx. The homepage names six agents; the GitHub installation guide listed 10 providers on November 8, 2026. The project says their work appears in a common thread view with a shared diff panel and Git actions.
Each task can be started in its own worktree, giving it a separate folder and Git branch. Developers can review changes and, from the same interface, commit, push and open a pull request. The project says it can draft commit messages and pull-request titles and descriptions. Users can also change agents within a thread, though the project’s documentation says the handoff does not preserve the previous agent’s internal reasoning, tool state or attachments.
Infographic 01 · One surface, your own plans
Your subscriptions, one workspace
T3 Code puts the coding agents you already pay for into one interface. It orchestrates them; your provider bills you as before.
It does not resell tokens. You keep paying your AI providers as you do today, and your plan limits stay as they are.
Sign in with the tools you already have
On the machine that runs the agents
| Agent | How you sign in |
|---|---|
| Claude Code | claude auth login |
| Codex | codex login or Connect with ChatGPT |
| Cursor | agent login (Cursor CLI) |
| Grok Build | grok login |
| OpenCode | opencode auth login |
| Antigravity | Sign in with Google in the provider settings |
Sources: T3 Code homepage; GitHub install guide and FAQ (read 8 Nov 2026).
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One Workspace for Separate Agents
For developers paying for more than one coding assistant, the practical appeal is less tool switching and a clearer way to track which agent changed which files. Separate branches and worktrees can also help when tasks run in parallel, since each thread has its own working folder rather than sharing one set of files.
The shared interface does not combine the underlying services into a new subscription. T3 Code says users sign in through each provider’s own authentication and that providers continue to bill them under their existing plans. Its usage page can display usage across agents, but the project describes displayed cost figures as API-equivalent estimates, not the actual bill for subscription plans. That distinction matters when developers compare what they use with what they pay.
The tool may be less useful to someone who relies on one agent in one terminal and is satisfied with that setup. It adds another application to install and configure, while the AI services themselves remain subject to their own terms and limits.
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A Layer Above Existing Harnesses
T3 Code describes itself as a control layer rather than a model or an agent harness. In the project’s terminology, a harness is the software that lets a model interact with files and run commands. T3 Code says it uses harnesses already installed on the machine where the agents run, then provides a shared interface for managing them.
The source article said the project was free under the MIT licence and listed 51,990 GitHub stars on November 8, 2026. Its homepage rounded that figure to “51k+.” The project also claimed more than 500,000 developers use it, but the source article said it could not independently verify that user figure.
The cited release was version 0.1.7, dated November 4, 2026. That places the product at an early stage, and the source material does not provide independent testing or comparative results showing how well the interface works across every listed agent.
“the open-source control plane for coding agents”
— T3 Code’s homepage
Limits, Costs and Early-Release Risks
The available material does not establish how reliably every listed provider works across different operating systems, account plans or project setups. It also offers no independent performance comparison or security audit. Users should check each AI provider’s terms, authentication requirements and usage limits before connecting an account.
The project says its cost display uses API-equivalent estimates, so it should not be read as a precise view of subscription charges. The exact behavior and completeness of those estimates are not established in the source material. Nor does the article verify the project’s claim that more than 500,000 developers use the app.
The source also warns that new threads start in full-access mode unless users change the default. What permissions that mode grants can depend on the agent and local configuration; developers should check settings before running tasks against important files or systems.
Check Setup Before Running Tasks
Developers considering T3 Code can review the current installation guide, confirm that their chosen agents are supported, and connect provider accounts on the machine that will run the work. Before starting a task, they can check the access mode and decide whether to use a separate worktree and branch.
For teams evaluating the app, the next step is to test a small task, inspect the resulting diff and verify how agent handoffs, Git actions and usage reporting behave in their own environment. The project’s release history and documentation may change as it develops; the source material does not identify a later release date or a specific upcoming feature milestone.
Key Questions
Does T3 Code include AI model access?
No. T3 Code says it provides an interface for agents and harnesses users already have, rather than selling model access or tokens. Users authenticate with their AI providers, which continue to apply their own billing and plan limits.
Which coding agents does it support?
The project’s homepage names Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok Build. Its GitHub installation guide listed 10 providers on November 8, 2026, including Kiro, Pi, Muse Code and fx. Support can change, so users should check the current guide.
Does T3 Code create a separate branch for each task?
The project says users can start a thread with a new worktree, giving it its own working folder and Git branch. Its interface also offers actions to review, commit, push and open a pull request.
Does its usage page show the exact subscription bill?
No. The project describes its cost figures as API-equivalent estimates, not the actual bill for subscription plans. Provider charges and usage limits remain governed by each provider’s account terms.
Is T3 Code a good fit for every developer?
It is intended for people managing multiple agents, parallel tasks or work across devices. Someone satisfied with one coding tool in one terminal may not need a shared interface. The cited release was version 0.1.7, so the source describes a young project rather than an established, independently evaluated product.
Source: ThorstenMeyerAI.com
