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TL;DR

T3 Code is an open-source app that brings several AI coding agents into one interface while using the accounts and subscriptions developers already have. It supports separate Git workspaces for tasks and tools for reviewing changes and opening pull requests; provider charges and limits still apply. The project was at version 0.1.7 on November 4, 2026, and some adoption figures on its website have not been independently verified.

T3 Code, an open-source project from T3 Tools Inc., brings multiple AI coding agents into one workspace, where developers can manage task threads, review code changes and carry out Git actions. The app does not provide or resell the AI models: users connect agents they already use, and their existing providers continue to set subscription costs and limits.

The project describes itself as an interface layer for coding agents rather than a model or a replacement for the software that runs them. Its FAQ says it uses the harnesses developers already have installed and puts a shared interface over them. The site lists Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity; a GitHub install guide listed 10 providers on November 8, adding Kiro, Pi, Muse Code and fx.

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 the project. The agents run on a machine selected by the user, such as a laptop, home desktop or server; other devices can connect remotely. The project says the software is free and MIT-licensed, and its FAQ says there is no payment required to use T3 Code.

For coding work, users can start a thread with a separate Git branch and working folder, helping keep parallel tasks apart. The interface brings together a diff view and Git actions, including committing, pushing and opening a pull request. T3 Code also says users can switch agents within a thread. Its documentation cautions that conversations may be condensed during handoff: older messages can be retrieved, but the original agent’s internal reasoning, tool state and attachments do not carry over.

At a glance
announcementWhen: Described in source material dated Nove…
The developmentT3 Tools has introduced T3 Code, an open-source workspace for coordinating multiple AI coding agents through a shared interface.
Thorsten Meyer AI
T3 Code · Bring your own sub

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.

T3 Code itself costs$0

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

AgentHow you sign in
Claude Codeclaude auth login
Codexcodex login or Connect with ChatGPT
Cursoragent login (Cursor CLI)
Grok Buildgrok login
OpenCodeopencode auth login
AntigravitySign in with Google in the provider settings
6agents named on the homepage
10providers in the install guide (8 Nov 2026)
3machines per account on T3 Connect, free for now
MITlicence: fork it, self-host it

Sources: T3 Code homepage; GitHub install guide and FAQ (read 8 Nov 2026).
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One Workspace for Parallel Coding Tasks

The pitch is aimed at developers who already use more than one coding agent and find that each tool has its own window, history and code-review process. A shared workspace could make it easier to assign separate tasks to separate agents, compare their output and keep each change isolated until it is ready for review. The ability to hand a thread to a second agent also offers a way to request another pass without manually restating the entire task.

The project does not remove the costs or rules attached to the underlying services. T3 Code says it does not resell tokens, so users still authenticate with each provider and remain subject to that provider’s plan limits and terms. Its combined usage page estimates costs on an API-equivalent basis, according to the documentation; those figures are not the same as a user’s subscription bill. The practical value will depend on whether the shared workflow saves enough time to justify learning and maintaining another application.

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A Shared Layer, Not Another Model

AI coding products commonly combine a model with a harness: software that lets the model inspect files, run commands and work with a codebase. T3 Code says it is neither a model nor a harness. It uses the tools installed for the individual agents and provides a common surface for interacting with them. That distinction matters because the project’s promise is coordination, not access to a new model or a bundle of AI usage.

The project’s homepage described it as an “open-source control plane for coding agents.” On November 8, 2026, the supplied source reported 51,990 GitHub stars, while the homepage rounded that to “51k+.” The site also claimed more than 500,000 developers use T3 Code; that figure was not independently verified in the source material. The project was at version 0.1.7 on November 4, suggesting the software was still at an early release stage at the time covered.

“The open-source control plane for coding agents.”

— T3 Code homepage

Early Release, Provider Limits Remain

The supplied material does not establish how reliably the app works across every listed agent, operating system or remote setup, or how its features perform under heavy parallel use. Its early version number, 0.1.7, means readers should treat the feature set as subject to change. The source does not provide independent testing results or a breakdown of support quality across providers.

Users should also check the terms and limits of each provider. T3 Code says it adds no usage caps of its own, but that does not remove limits imposed by subscriptions, authentication requirements or provider policies. Its usage figures are estimates rather than a record of what a subscription holder will be billed. The reported figure of more than 500,000 users is a claim by the project and has not been independently confirmed in the supplied material.

What Developers Should Check

Developers considering the app can check the project’s current installation guide and provider documentation, since supported agents and sign-in steps may change between releases. They should confirm that the tools they rely on are supported, understand where agents will run, and review the default access settings before starting work. The source material says new threads start in full-access mode unless users change the default, a setting worth checking before connecting an agent to a project.

For teams trying T3 Code, the next practical test is whether the shared workflow fits their existing review and security practices: whether separate worktrees prevent conflicts, whether agent handoffs preserve enough context, and whether pull-request actions behave as expected in their repositories. The supplied material does not give a schedule for future releases or confirm planned feature changes, so the project’s documentation and release history are the available places to track updates.

Key Questions

What is T3 Code?

T3 Code is an open-source interface for working with multiple AI coding agents. The project says it uses existing agent harnesses rather than supplying its own model.

Does T3 Code include AI usage or a subscription?

No. The project says the app is free and does not resell tokens. Users sign in through their AI providers, which continue to apply their own charges and usage limits.

Which coding agents does it support?

The homepage names Claude Code, Codex, Antigravity, OpenCode, Cursor and Grok. A GitHub install guide listed 10 providers on November 8, 2026, including Kiro, Pi, Muse Code and fx. Support may change, so check the current guide.

Can users switch agents during a coding task?

T3 Code says users can hand a thread to another agent. Its documentation says some conversation context can carry over, but the original agent’s internal reasoning, tool state and attachments do not.

Is T3 Code mature software?

The supplied source identifies version 0.1.7 as current on November 4, 2026. It does not include independent performance testing, so users should check current documentation and test the app against their own workflow.

Source: ThorstenMeyerAI.com

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