Bonsai-27B-GGUF
lmstudio-community · 工具包
面向 LM Studio 的 27B Bonsai 模型 GGUF 转换版,含 3.80 GB 的 Q1_0 语言文件和 0.93 GB 的 BF16 视觉投影器。已测试文本、视觉和并行工具调用。

T3 Tools 的开源控制应用,用来管理你自己电脑上的编程智能体。你在同一个桌面、网页或手机应用里控制 Claude Code、Codex、Cursor 等,它们在你的电脑上运行,用的是你已有的订阅。
T3 Code 编程智能体控制台 是一款 GitHub 上的开源项目,属于开发类,由 Mindket 上架。可免费获取。当前为第 2 版,最近更新于 。按它的 README 从 GitHub 安装。Mindket 的设置说明可在你的 Mindket 账户获取,以 zip 压缩包下载。
curl -fsSL https://t3.codes/install.sh | sh
用在哪里里还有 4 个
T3 Code is an app for controlling the coding agents that are already on your computer. The README says it works from a desktop app, a web app and a mobile app for iOS and Android, using your own subscriptions. It has no model or agent of its own, and the FAQ says it does not work without one. You install Claude Code, Cursor or another supported agent and sign in there, or connect Codex with your ChatGPT plan and Antigravity with Google from T3 Code’s settings. T3 Code then gives you threads on your projects, a permission mode for each thread, the changes each turn made and pull requests, all in one place.
Developers who already pay for Claude Code, Codex, Cursor or another supported agent and want one app for all of them. It fits best if you run agents on a spare computer or a VPS and want to steer them from your phone. Nothing is for sale: the README answers “what are you selling me?” with “Nothing.”
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Solo development | Developers with a Claude, Codex or Cursor plan | Keep threads from several agents in one app, each on its own project | A developer runs a Claude thread and a Codex thread side by side and picks the model for each. |
| Remote and server work | Developers with a spare machine or a VPS | Run T3 Code on the host and connect to it from anywhere | A developer runs t3 up on a home server and follows the thread from a phone. |
| Teams on a code host | Developers on GitHub, GitLab, Bitbucket or Azure DevOps | Review the changes of one turn, then open a pull request | A developer checks what a turn changed in the diff pane before opening the pull request. |
| Automation and CI | Teams that want an agent to start on an event | Run a scheduled task, or a task that starts when a service calls its webhook URL | A task prompt of Review this PR: {{body.pull_request.html_url}} runs when GitHub reports a new pull request. |
| Agent builders | People who run Claude Code or Codex in their own terminal | Connect that agent to a T3 Code environment over MCP | A terminal agent starts a thread on a project and reads the reply. |
Skip it if you want to run local models, which the FAQ says T3 Code does not support. Skip it too if you have no plan or account with a supported agent.
T3 Code runs on a desktop, in a browser and on a phone, and it drives these agents.
Get it saves a zip of Minda’s setup notes in your downloads folder. It holds a file each for the command line, the desktop app, phones and remote access, Claude Code, Codex, Cursor and the other agents, taken from T3 Code’s docs. Install and sign in to at least one agent on the machine that will do the work, before your first thread. Codex through ChatGPT and Antigravity are set up from T3 Code’s Settings → Providers instead.
| Need | Detail |
|---|---|
| A coding agent | One of those above, installed and signed in on the machine that runs the T3 Code server |
| A machine that stays on | The phone is only a remote, so the computer that does the work has to keep running |
| Node.js | Only for the npx routes, such as npx t3@latest |
| Intel Mac | No t3 command exists, so use the desktop app |
| Windows | No background service, so keep the desktop app or t3 serve running |
| A T3 Connect sign-in | To reach the machine through T3 Connect. LAN pairing, Tailscale and desktop-managed SSH are the other routes. A public webhook URL and a hosted agent such as ChatGPT need the T3 Connect address |
curl -fsSL https://t3.codes/install.sh | sh
irm https://t3.codes/install.ps1 | iex
The first line is for macOS and Linux and the second for Windows PowerShell. Both run a script from t3.codes, so read it first if you want to see what it does. To try T3 Code once without installing, run npx t3@latest. The desktop app has its own installs.
| Platform | Command |
|---|---|
| Windows | winget install T3Tools.T3Code |
| macOS | brew install --cask t3-code |
| Debian, Ubuntu | sudo apt install ./T3-Code-*.deb |
| Arch Linux | yay -S t3code-bin |
| Nix | nix profile add github:NixOS/nixpkgs/nixos-unstable#t3code |
The Debian line needs the .deb from GitHub Releases in the current folder. The README also gives scoop install extras/t3code for Windows and a nightly build for Arch.
Open a project, start a thread, pick the agent and its model, and send your task. A permission mode decides how often the agent stops to ask. A new thread names its mode under the composer. Press mod+shift+a to change it and mod+shift+m to change the model, where mod is Command on macOS and Ctrl on Windows and Linux.
| Mode | What it does |
|---|---|
| Supervised | Asks before commands and file changes |
| Auto-accept edits | Approves file edits and can still ask about other actions |
| Auto | The provider’s own automatic review approves routine actions and asks about the rest |
| Full access | Allows commands and edits without asking |
The modes differ a little by agent. Muse Code and Kiro offer only Supervised and Full access, and fx has only Supervised and Auto. Grok has no Auto-accept edits and Pi has no Auto. On OpenCode and Antigravity, Auto falls back to asking.
You have a Linux box at home with Claude Code signed in, and you want to steer it from your phone. On the box, you install T3 Code and run t3 up.
curl -fsSL https://t3.codes/install.sh | sh t3 up
t3 up asks how your other devices reach the machine. You choose T3 Connect and follow its sign-in instructions. On Linux it then keeps T3 Code running as a background service. On the phone, you install the app, sign in to the same T3 Connect account and choose the machine. You open a thread on a project, pick Claude and type the task. The agent works on the box and the thread shows on your phone. The box has to stay on.
新手:Claude Code and Codex are coding agents that you sign in to with their own commands, such as claude auth login and codex login. T3 Code is the app around them and holds no model. The FAQ gives a picture. The model is the chef, the agent program is the kitchen, and T3 Code is the restaurant that lets you bring whatever kitchen you want. So set up at least one agent before your first thread. The Install page says you can launch T3 Code first and configure providers afterwards. A thread is one conversation with an agent, usually on one project.
专家:The FAQ says T3 Code drives Claude through Anthropic’s Agent SDK. A second login is a second provider instance. Claude takes its own CLAUDE_CONFIG_DIR, and each account’s conversations stay apart. Codex takes a shadow home under the same CODEX_HOME, so work and personal accounts keep their own login and continue the same threads. An API key or OpenRouter works too, as another instance with its own keys and endpoint.
Other agents can drive T3 Code in turn. Each environment has an MCP server at its address followed by /mcp. An agent that supports remote MCP with OAuth signs in once, and you choose what it may do. Read only is the default.
claude mcp add --transport http t3 https://<environment-address>/mcp claude mcp login t3
On the host, t3 thread works without a sign-in. A send with --wait prints the reply. It exits 1 when the run fails or stops, and 2 when the agent waits for an answer you give in the app.
id=$(t3 thread start . "Find why the tests are slow") t3 thread send "$id" "Now fix it" --wait
A scheduled task can start on a webhook, such as a new pull request or a failed CI job. A public webhook URL needs a T3 Connect managed tunnel. The docs say to turn on Require signature for GitHub, because without one anyone with the URL can start a run with any content.
Most of T3 Code runs on your machine, and a few paths reach out.
这个工具包里只有安装说明,由 Mindket 编写。T3 Code、它的各个应用和 t3 命令,要从 T3 Tools 的仓库和它指定的软件包仓库安装,仓库地址是 https://github.com/pingdotgg/t3code
这些说明不是 T3 Tools 写的,也没有得到它的认可。README 说 T3 Code 是一个 "agent harness control surface",它 "enables control of the agents on your machine",意思是:它是一个智能体控制界面,能从手机应用、网页应用和基于 Electron 的桌面应用来控制你电脑上的智能体。README 还说 "There's no docs site yet"(目前没有文档网站),文档就是仓库的 docs 文件夹,地址是 https://github.com/pingdotgg/t3code/tree/main/docs
许可证:MIT。LICENSE 文件(https://github.com/pingdotgg/t3code/blob/main/LICENSE)是标准的 MIT 文本,写的是 "Copyright (c) 2026 T3 Tools Inc."
README 说 "We are very very early in this project. Expect bugs."(这个项目还非常早期,会有 bug),并说制作方 "(mostly) not accepting contributions yet"(基本上还不接受外部贡献)。
FAQ 说 T3 Code 本身不是编程智能体:"T3 Code uses those harnesses. It is not a harness, and it does not work without one.",意思是:它使用的是现成的智能体,自己不是智能体,没有智能体它就不能工作。它驱动的是你已有的智能体,比如 Claude Code 或 Codex,用的是你自己的订阅或密钥。来源:https://github.com/pingdotgg/t3code/blob/main/docs/user/faq.md
t3 命令,来自安装脚本。安装页说它会把 t3 可执行文件装到 ~/.local/bin。来源:https://github.com/pingdotgg/t3code/blob/main/docs/user/install.md.deb、Arch 用户仓库或 Nix)。见 setup/desktop-app.md。t3 安装本身不带任何智能体。命令行智能体要各自安装,并在运行 T3 Code 服务器的那台电脑上登录。Codex 那一页说,你通过 ChatGPT 连接时,T3 Code 会负责安装 Codex。Antigravity 的运行时在 Settings → Providers 里安装。安装页说这两者都可以不需要 PATH 里有对应条目。PATH 里。npx 这几条途径需要:安装页说 npx t3@latest "needs Node.js for npx"。t3 可执行文件,请用桌面应用。见 setup/command-line.md。macOS 和 Linux:
curl -fsSL https://t3.codes/install.sh | sh
Windows,在 PowerShell 里:
irm https://t3.codes/install.ps1 | iex
然后运行 t3,启动服务器并打开本地网页应用。来源:https://github.com/pingdotgg/t3code/blob/main/README.md
t3 命令、后台服务、更新和卸载codex login 使用 Codex、第二个账号,以及从 Codex 驱动 T3 Code命令行:t3 update 会升级到较新的版本,t3 uninstall 会在列出清单后移除后台服务、启动器和已下载的各个版本。桌面应用用侧边栏底部的按钮更新。详情和来源见 setup/command-line.md 和 setup/desktop-app.md。
“产品使用数据”那一页说,T3 Code 服务器会把产品使用事件发到 T3 Code 自己的端点 ingest.t3.codes,附带的是经过哈希的账号或安装标识。该端点会保存每个事件的副本,并把事件转发给 PostHog。为了统计一个人用了几个安装,服务器还会发送你的 T3 Connect 账号,以及你登录时的 OpenAI 和 Claude 账号的哈希标识。事件里有提供方、模型、推理强度、权限模式、结果、耗时、发布渠道和 token 数。不包含提示词、回复或文件内容。该页还说,T3 Connect 的连接追踪会发到 Axiom,手机应用会发送崩溃报告,除非你把它关掉。要关闭产品事件和中继追踪,请在启动服务器之前,在服务器的环境里设置:
T3CODE_TELEMETRY_ENABLED=false
该页补充说,浏览器里的网页应用(包括 t3 命令打开的那个)不读取这个变量。FAQ 说你的代码和提示词从你的电脑发给你的提供方,不发给 T3。来源:https://github.com/pingdotgg/t3code/blob/main/docs/user/telemetry.md 和 https://github.com/pingdotgg/t3code/blob/main/docs/user/faq.md
README.md 6 KB setup/claude-code.md 6 KB setup/codex.md 4 KB setup/command-line.md 8 KB setup/cursor.md 2 KB setup/desktop-app.md 5 KB setup/mobile-and-remote.md 7 KB setup/other-agents.md 7 KB
Updated by Mindket to the current version of this kit.
同一分类里与本产品共有主题最多的已上架 GitHub 项目。
| 产品 | 星标 | 活跃度 | 语言 | 许可证 | 最近更新 |
|---|---|---|---|---|---|
| T3 Code 编程智能体控制台 本页 | 59,634 | 活跃 | TypeScript | MIT | |
| Hermes Agent 自我改进的开源智能体共有 chatgpt · claude · ai | 261,224 | — | — | MIT | — |
| System Prompts Leaks共有 chatgpt · claude · ai | 71,042 | 活跃 | Python | CC0-1.0 | |
| AutoGen 多智能体框架共有 chatgpt · agents · ai | 61,752 | — | — | CC-BY-4.0 | — |
| pstack 编程智能体技能集共有 chatgpt · claude · claude-code | 4,132 | — | JavaScript | MIT | — |
| Dodaios共有 agent-orchestration · claude-code | 369 | 活跃 | Python | Apache-2.0 |
Hacker News、Bluesky、X、Reddit、Facebook 和 YouTube 上提到这个项目的帖子和评论,来自每周一次的搜索和 Trendshift。它们不是 Mindket 写的,也未经核实,点开即可在原帖处阅读。
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