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TL;DR
T3 Code is a free, open-source app that brings multiple existing AI coding agents into one interface and lets developers manage work in separate Git branches. It does not provide or resell AI models: users connect their own provider accounts, whose plans and limits still apply. The project was at version 0.1.7 on November 4, 2026.
T3 Code, an open-source project from T3 Tools Inc., brings several AI coding agents into one interface, with features for handing a task between agents and managing its Git changes. The app is aimed at developers who use tools such as Claude Code, Codex or Cursor and want to track their work in one place; users still need their own provider accounts and subscriptions.
The project describes T3 Code as a layer on top of existing coding-agent software, rather than a model or a replacement for each agent’s underlying tools. Its homepage calls it “the open-source control plane for coding agents.” The listed integrations include Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok Build. A GitHub installation guide dated November 8 lists 10 providers, including Kiro, Pi, Muse Code and fx.
T3 Code is offered as a desktop app for macOS, Windows and Linux, as well as a web app, command-line server and mobile apps for iOS and Android, according to the project’s materials. Agents run on a machine selected by the user; other devices can connect to it to monitor or manage work. The project says its software is free and licensed under MIT, and that it does not resell tokens. Providers continue to bill users under their existing accounts and terms.
For coding work, users can give a thread its own Git branch and working folder, allowing separate tasks to run without sharing the same files. T3 Code provides a shared view for reviewing diffs and Git actions, including committing, pushing and opening a pull request. The project also says users can change agents within a thread. Its documentation describes transferring some conversation context to the next provider, but not 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 Workflow Across Coding Agents
The release targets a practical problem for developers who use more than one coding agent: each tool can have a separate interface, history and way of presenting code changes. By putting those tasks in a shared view, T3 Code may make it easier to see which agent made a change, compare work and pass a task to another agent. That is the project’s intended benefit; the source material does not provide independent testing showing how well the workflow performs.
Separate branches and working folders matter when developers run tasks at the same time, because they can help keep changes isolated until review. The ability to inspect a diff and manage a pull request in the same interface could also reduce the need to move between applications during a coding task. These features do not establish that generated code is correct or safe: developers still need to review changes and run appropriate checks before merging.
The product does not replace provider charges or plan restrictions. T3 Tools says it adds no separate token bill, but that does not remove limits set by a user’s existing subscription. The project’s Usage page combines token activity, while its documentation describes cost figures as API-equivalent estimates, not a record of what a user was charged under a subscription.
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A Layer Above Existing Agents
AI coding products often bundle a model with a harness: software that lets the model read files, run commands and interact with a codebase. T3 Code’s FAQ says the app is neither a model nor a harness. Instead, it connects to harnesses already installed and presents them through a common interface. That distinction matters: users depend on the supported agents and their own setups, rather than receiving a new model from T3 Code.
The project’s published materials list several sign-in methods, which vary by provider. Some use a provider’s command-line login, while Antigravity uses Google sign-in in T3 Code’s provider settings. The project also says users may configure separate API-key or OpenRouter connections. Those arrangements remain subject to the relevant provider’s requirements and plan limits.
The source article reports that the project was at version 0.1.7 on November 4, 2026, and that its GitHub repository had 51,990 stars on November 8. It also reports that the website claims more than 500,000 developers use T3 Code, but says that figure could not be independently checked. The user count should therefore be treated as a project claim, not an independently verified measure.
““the open-source control plane for coding agents””
— T3 Code homepage
Early Release, Open Questions
T3 Code was at version 0.1.7 in the supplied November 2026 material, so its longer-term reliability, support and feature stability are not established there. The source material does not include independent testing, user interviews or comparative performance results. It also does not specify how every listed integration behaves across different operating systems or provider plan types.
The website’s claim of more than 500,000 developers is not independently verified in the source article. The project’s GitHub star count is a dated repository observation, not a measure of active users. It is also unclear from the supplied information what safeguards apply to every permission setting or how those settings differ by agent. The source warns that new threads start in full-access mode unless users change the default; users should check permissions before allowing an agent to run commands or modify files.
Changing agents does not carry over every part of a prior session. According to the documentation summarized in the source, some conversation details can move to the next agent, but internal reasoning, tool state and attachments remain behind. How much useful context survives may depend on the length and content of a thread.
Check Setup and Permissions
Developers interested in the app can review the installation guide, confirm that their preferred agents are supported and connect the relevant provider accounts. Before starting work, they should check the thread’s access mode, especially because the source says new threads default to full access. They should also confirm that each provider’s login and usage terms fit their intended setup.
For teams evaluating the project, the practical next step is to test it on a low-risk task: compare the shared diff view, branch isolation, agent handoff and pull-request workflow against their existing process. The supplied material does not name a future release date or a specific next milestone. Further information about feature changes, supported integrations and security controls will depend on updates from the T3 Code project.
Key Questions
What is T3 Code?
T3 Code is an interface for coordinating existing AI coding agents. The project says it uses installed agent harnesses rather than supplying its own model or harness.
Does T3 Code include AI model usage?
No. T3 Tools says the app is free and does not resell tokens. Users connect their existing provider accounts, and provider charges, plan limits and terms still apply.
Which coding agents does it support?
The project’s homepage lists 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.
Can users switch agents in the middle of a task?
The project says users can change providers within a thread. Its documentation says some conversation context transfers, but the previous agent’s internal reasoning, tool state and attachments do not.
What should users check before running an agent?
Check the provider account and usage terms, review the agent’s access permissions and inspect all generated changes before accepting them. The source says new threads start in full-access mode unless users change the default.
Source: ThorstenMeyerAI.com
