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TL;DR
T3 Code is an open-source app that brings multiple AI coding agents into one interface, while using the accounts and subscriptions developers already have. It supports separate branches for task threads and access from desktop, web and mobile devices. The project is young, provider limits remain in force, and new threads default to full access unless users change the setting.
T3 Tools’ T3 Code, an open-source app for coordinating AI coding agents, gives developers one interface for tools such as Claude Code, Codex, Cursor and Google’s Antigravity. The app uses users’ existing provider logins rather than selling model access, and is aimed at developers who want to manage multiple agents, task branches and code reviews without switching between separate apps.
T3 Code is available as a desktop app for macOS, Windows and Linux, alongside a web app, command-line server and mobile apps for iOS and Android, according to its project materials. The agents run on a machine selected by the user, such as a laptop or server; other devices can connect as remote controls. The project says its software is free and released under the MIT license. It says there is no payment required to use T3 Code itself.
The app is designed to work with coding-agent tools and their existing harnesses rather than provide a model of its own. T3 Code’s homepage names Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok. Its GitHub installation guide listed 10 providers on November 8, adding Kiro, Pi, Muse Code and fx. Users authenticate with each provider through its supported login method; the providers continue to set their own plan limits and charges.
Each task can be assigned a separate Git branch and working folder through a new-worktree option. The project says users can review a diff and then commit, push and open a pull request from the same interface. It also supports switching agents within a thread, though the handoff does not retain everything: documentation says the previous agent’s internal reasoning, tool state and attachments are not transferred.
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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Managing Agents Without More Subscriptions
For developers who pay for or use several coding agents, T3 Code’s pitch is one workspace instead of several disconnected interfaces. A shared thread view and diff panel could make it easier to compare results, assign a second agent to review work or run tasks in parallel. Separate worktrees are intended to reduce conflicts between agents editing the same project.
The app does not remove the need to understand each provider’s terms or limits. Its “bring your own subscription” model means billing remains with the AI providers; T3 Code says it does not resell tokens. Its combined usage page reports token use across agents, but the project cautions that displayed cost figures are API-equivalent estimates, not a statement of what a user’s subscription bill will be.
That distinction matters to anyone evaluating the tool as a cost-saving measure. T3 Code may reduce the friction of using multiple products, but the supplied materials do not establish that it lowers subscription costs or improves coding outcomes. Its value depends on a developer’s existing setup and willingness to manage multiple agents.
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AI coding products commonly combine a model with a harness—software that lets the model interact with project files and run commands. T3 Code describes itself as neither a model nor a harness. Instead, it provides a common interface for harnesses already installed or connected by the user. That makes it different from a service selling access to a single model through its own account.
The project’s documentation says users can switch providers during a conversation. Short conversations may carry over intact; for longer ones, the handoff selects the original request, recent turns and relevant activity such as command results. The new agent can use a thread-reading tool to retrieve older messages, but some prior agent state remains behind. The project also describes Git actions for committing, pushing and opening pull requests, including options for draft, stacked and amended pull requests.
T3 Code was at version 0.1.7 on November 4, 2026, according to the source material. Its GitHub repository showed 51,990 stars when checked November 8. The site also claims more than 500,000 developers use the project; that figure was not independently verified in the source material and should be treated as a company-reported number.
“the open-source control plane for coding agents”
— T3 Code homepage
Limits of the Early Release
The project is at an early version, and the supplied materials do not establish how reliably every listed provider works across operating systems or how the app performs in larger teams. Users should check current provider support and each provider’s terms and plan limits before relying on a particular workflow.
Security settings also warrant attention: the project’s guide says new threads start in full-access mode unless users change the default. The source material does not detail the full permission model or independent security testing. It is also unclear how many users are active; the site’s claim of more than 500,000 developers was not independently checked.
The app’s usage page combines token activity, but its cost figures are estimates based on API pricing rather than users’ actual subscription charges. The materials do not provide evidence that using the interface produces savings, improves code quality or reduces review time.
Check Provider Support Before Installing
Developers considering T3 Code can review its current installation guide and confirm that their agents are supported, then authenticate through the providers they already use. They can also check the access mode for new threads and adjust it before assigning work. Because the project was at version 0.1.7 on November 4, support and behavior may change as development continues.
No further release date or product milestone is specified in the source material. The next practical step for prospective users is to test the app on a limited task, inspect the resulting diff and verify the Git workflow before using it for parallel or production work.
Key Questions
Does T3 Code include an AI model subscription?
No. T3 Code says it does not sell tokens or include model access. 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 homepage names Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok. Its GitHub installation guide listed 10 providers on November 8, 2026, including Kiro, Pi, Muse Code and fx. Check the current guide because support can change.
Can different agents work on separate tasks at once?
T3 Code says each thread can have its own Git branch and working folder through its new-worktree option. That setup is intended to keep parallel tasks’ files separate, but users should review changes before committing or opening a pull request.
Does switching agents preserve the entire conversation?
Not always. According to the documentation, short conversations can move intact, while longer handoffs include selected messages and relevant activity. The prior agent’s internal reasoning, tool state and attachments do not carry over.
Is T3 Code worth using if I have only one coding agent?
The project’s stated use case is coordinating multiple agents and working across devices. If one tool in one terminal already meets your needs, the shared interface and multi-agent features may offer less practical benefit.
Source: ThorstenMeyerAI.com
