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TL;DR
T3 Code is an open-source app that puts multiple AI coding agents, including Claude Code and Codex, in one interface. It uses users’ existing provider accounts and supports separate Git workspaces for tasks, but the project is young and provider limits and permissions still apply.
T3 Tools’ T3 Code is an open-source workspace for running multiple AI coding agents from one interface, bringing tools such as Claude Code and Codex together with shared task, diff and Git controls. The app is designed for developers who use several agents or work across devices; it does not provide a new AI model or replace the subscriptions and accounts required by the agents.
T3 Code is available as a desktop app for macOS, Windows and Linux, as well as through a web app, a command-line server and mobile apps for iOS and Android, according to the project’s documentation. The agents run on a machine selected by the user, such as a laptop or server; other devices can connect to control and review the work. The project describes itself as a control layer over existing coding tools rather than an agent harness of its own.
The homepage lists Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity. An installation guide listed 10 providers on November 8, adding Kiro, Pi, Muse Code and fx. Users authenticate through each provider’s own login flow. T3 Code is free under the MIT open-source license, and the project says it does not resell tokens. Users remain subject to each provider’s plan limits and billing.
Tasks can be placed in separate Git branches and working folders through the app’s worktree feature, allowing parallel work without putting every agent in the same checkout. Users can inspect diffs and use the interface to commit changes, push them and open pull requests. The project also supports changing agents within a thread. Its documentation says short conversations can carry over intact, while longer ones may be condensed; the original agent’s internal reasoning, tool state and attachments do not carry over.
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 Interface for Parallel Coding
For developers paying for or testing more than one coding agent, a shared workspace could reduce the effort of switching between separate terminals and apps. Keeping task threads, diffs and Git actions together may make it easier to see which agent changed which files and to compare work before merging it. Separate branches also give concurrent tasks a clearer boundary, though they do not remove the need for code review.
The project’s appeal depends on whether its integrations work reliably with the tools and account plans a developer already uses. T3 Code says it adds no separate token charge, but it does not make those underlying services free. Its usage page aggregates token activity and gives API-equivalent cost estimates; the documentation cautions that those figures are not the user’s actual subscription bill.
The design also shifts attention from choosing one coding product to coordinating several. That can help teams that want one agent to produce work and another to review it, but the claimed convenience is a product proposition, not evidence that agents produce better or safer code. Developers still need to check changes and understand the permissions granted to each tool.
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A Control Layer, Not a New Model
Many AI coding products combine a model with a harness: software that lets an agent inspect project files, run commands and make changes. T3 Code’s FAQ says the product is neither a model nor a harness. It connects to harnesses already installed or configured by users and presents their work in a common interface. That distinction matters because T3 Code depends on the supported agents and their existing authentication and capabilities.
The project says it is free and has no paid access tier. Its website reported more than 500,000 developers, a figure not independently verified in the source material. The GitHub repository had 51,990 stars when checked on November 8, 2026. Those figures indicate interest in the project but do not establish how many people use it regularly or whether it meets production requirements.
The release history is also relevant: the source describes version 0.1.7, dated November 4, 2026, making the software an early-stage project. The feature list and supported-provider count can change as the project develops, so users should consult current documentation before relying on a particular integration.
“the open-source control plane for coding agents”
— T3 Code, on its homepage
Early Release, Provider Limits
The source material does not establish how consistently the listed integrations work across operating systems, provider plan tiers or different project setups. The app’s version 0.1.7 status means features and compatibility may change, and the documentation should be checked for current requirements. The provider list is not a guarantee that every tool is available in every configuration.
It is also unclear how broadly the project’s reported user count reflects active use; the source says the more-than-500,000 figure could not be independently checked. T3 Code’s cost estimates are not subscription invoices, and the article’s source does not provide independent testing of the app’s security, reliability or performance. Its site says new threads start in full-access mode unless users change the default, so users should review permissions before starting work.
Finally, a conversation handoff between agents is not a perfect transfer of state. The project documentation says the receiving agent may not get the previous agent’s internal reasoning, tool state or attachments. The exact amount of context carried over depends on conversation length and the handoff process.
Check Integrations Before Adoption
Developers considering T3 Code can check the current installation guide, confirm that their agents and operating systems are supported, and review how authentication and permissions are configured. They should also test the worktree and pull-request flow on a non-critical repository before relying on it for parallel tasks. Provider billing and plan limits remain in force regardless of T3 Code’s free price.
The next developments to watch are updates to the project’s early release, changes to its supported-provider list and further documentation on permissions, account compatibility and remote access. The source material does not announce a release date or roadmap milestone beyond the version and dates listed, so no specific next update is confirmed.
Key Questions
What is T3 Code?
T3 Code is an open-source interface for running and managing multiple AI coding agents. It connects to existing tools rather than supplying its own model or coding harness.
Does T3 Code include Claude Code or Codex subscriptions?
No. Users sign in through the providers’ own accounts, and provider billing and plan limits still apply. T3 Code says it does not resell tokens.
Which coding agents does it support?
The homepage lists Claude Code, Codex, Cursor, Grok Build, OpenCode and Google Antigravity. The installation guide listed 10 providers on November 8, 2026, including Kiro, Pi, Muse Code and fx; support can change.
Can T3 Code keep coding tasks separate?
Yes. Its worktree feature can give a thread its own Git branch and working folder, and the app includes tools to review diffs, commit, push and open pull requests.
Is T3 Code ready for every developer?
That is not established by the source material. The project was at version 0.1.7 on November 4, 2026, and users should check current compatibility, permissions and provider requirements before adopting it for important work.
Source: ThorstenMeyerAI.com
