T3 Code is an app for controlling AI coding agents running on a user's computer through mobile, web, and desktop interfaces. Developers use it to work remotely with supported agents such as Codex, Claude Code, Cursor, Grok Build, OpenCode, and Antigravity. The catalogue add-ons support the T3 Code workflow.
Borrowing it
Nothing to install: this file belongs to pingdotgg/t3code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pingdotgg/t3code/main/AGENTS.mdgit clone --depth 1 https://github.com/pingdotgg/t3codeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/pingdotgg/t3code/agents-md)<a href="https://agentmods.dev/instructions/pingdotgg/t3code/agents-md"><img src="https://agentmods.dev/badge/instructions/pingdotgg/t3code/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/pingdotgg/t3code/agents-md"><img src="https://agentmods.dev/badge/instructions/pingdotgg/t3code/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.05073 | $0.05073 |
| Opus 5.5 | $0.02029 | $0.02029 |
| Sonnet 5.5 | $0.01015 | $0.01015 |
| Haiku 4.5 | $0.00507 | $0.00507 |
Grade A, and why
t3code AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
T3 Code
T3 Code is a minimal GUI for coding agents. A Node WebSocket server wraps provider CLIs and agents (Codex, Claude Code, Cursor, Grok, OpenCode, Antigravity) and serves web, desktop, and mobile clients.
You can think of T3 Code as an open source "bring-your-own-subscription" alternative to apps like Claude Desktop, Codex App, Cursor Glass and Conductor.
What makes T3 Code special?
We have over 500,000 users who love T3 Code. It's important we maintain the things they love as we continue to iterate on the product. Here's a brief list of the things we can never compromise on.
1. Open at the core
T3 Code is truly open. We share our roadmap, we share how we think about things, and of course we share all our code. A large number of our users run forks. We work in the open, and should strive to stay that way.
2. Performance without compromise
Lots of apps have gotten bogged down with bad tech decisions and "slop". We have not, and we're proud of the performance of T3 Code. We regularly audit for performance regressions, often caused by sending too much data over websockets, css animations causing gpu spikes, lists being hard to render, and more. Make sure all changes are considerate of performance impact.
3. Remote ready
The architecture of T3 Code's websocket layer (npx t3) enables a lot of awesome remote features. These have become core to the product. Whether users are connecting directly over their local network, using Tailscale, or leaning in fully with T3 Connect (our tunnel solution, also in this repo), we need to make sure new features are properly supported.
4. Multi-surface
T3 Code has 3 key app surfaces: web, desktop, and mobile.
Web is kind of two surfaces, as we have the public facing "app.t3.codes" as well as locally hosting the web app through the npx t3 command. Both need to be supported by all new features where reasonable.
Desktop is the main surface most users install first. It's a full Electron app that bundles the server runner as well. The desktop app can also be used as the host server, allowing remote connections from app.t3.codes or the mobile app.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today Changed · +15 lines · +689 tokens per session bac7846bad92
- yesterday Changed · +23 lines · +439 tokens per session b17917a4b3d4
- 5d ago Changed · +18 tokens per session 9489f5720acc
- 10d ago Changed 429283957142
- 14d ago Changed · +1 lines · +76 tokens per session 9c9d808701f4
- 15d ago Changed · +12 tokens per session a641dd8cacef
- 18d ago Changed · -9 lines · +43 tokens per session 989bbf95cc1f
- 20d ago Changed · +2 lines · +113 tokens per session ab0240029078
- 28d ago Changed · +18 tokens per session b6dbf617b5a4
- 29d ago First seen · 171 lines · 3,665 tokens per session scan A 60db2fb47359
t3code AGENTS.md is an instructions file published in the GitHub repository pingdotgg/t3code (29,151 stars, last pushed today), licensed MIT. It adds 5,073 tokens to every session, about $0.0203 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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next.js AGENTS.md
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