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echobird

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edison7009/echobird

一键安装并切换模型的插件,支持 Claude Code、Codex、DeepSeek Harness、Kimi Code、Qwen Code 等众多智能体客户端。

前往 GitHub项目主页
$ curl -fsSL https://echobird.ai/install.sh | sh

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353

Fork

Rust

语言

MIT

许可证

2026-02-15

创建于

2026-09-08

最近推送

MIT 协议的桌面中枢(Tauri + Rust),一键安装 DeepSeek Harness 并通过改写原生配置文件切换模型,Model Nexus 统一管理 OpenAI / Anthropic / 本地 LLM 供应商。

DSH 适配

兼容

作者声明

安全审计

未审计

最后核验

2026-08-21

许可证

MIT

01它能帮你完成什么?

  • Install DeepSeek Harness and other mainstream coding CLIs on any machine from one desktop app

    One-click install plus one-click model switching — EchoBird writes each tool's native config file, so no manual TOML / JSON editing or per-CLI re-login is needed

    Developers and teams setting up AI coding tools (DeepSeek Harness, Claude Code, Codex CLI, Kimi Code, …) on new or heterogeneous machines

  • Centralize model providers so every installed tool uses the same endpoint

    Model Nexus — a unified data hub for OpenAI / Anthropic / local LLMs / API Routers; configure once, all scenarios pick it up, with a one-click latency check before you commit

    Users juggling multiple API keys and providers across coding CLIs and desktop AI apps

  • Run local LLMs on your own machine without manual runtime setup

    Bundled vLLM / SGLang / llama.cpp runtimes — pick a quant, hit START

    Users who want local inference instead of paying for hosted LLM APIs

02如何接入 DeepSeek Harness?

前置条件

  • Windows, macOS or Linux (x64 + arm64) — EchoBird is a cross-platform Tauri + Rust desktop app
  • PowerShell on Windows, or curl on macOS / Linux, if using the one-line installer

安装步骤

  1. 01

    Windows (PowerShell): `irm https://echobird.ai/install.ps1 | iex`

  2. 02

    macOS / Linux: `curl -fsSL https://echobird.ai/install.sh | sh` — the script auto-detects your OS and downloads the right package

    $ curl -fsSL https://echobird.ai/install.sh | sh

  3. 03

    Or download a package from the latest release: `EchoBird_<ver>_Windows_x64-setup.exe`, `EchoBird_<ver>_macOS_arm64.dmg`, or `.deb` / `.rpm` for Linux x64 + arm64

验证接入成功

作者未说明

03DSH 适配与能力边界

DSH 适配兼容

Desktop hub (Tauri + Rust) that one-click installs DeepSeek Harness and switches its model by rewriting the tool's native config file — a companion tool for dsh, not installed inside dsh itself

  • One-click install + one-click model switch for coding CLIs

    any supported CLI — Claude Code, Codex CLI (OpenAI), Grok Build (xAI), Kimi Code, Qwen Code, Aider, OpenCode, MiMo Code, Kilo Code, ZCode, OpenClaw, Pi, OpenScience, Vibe-Tradingtool installed and model switched by rewriting its native config file

    Writes/overwrites each tool's native config file (e.g. `~/.grok/config.toml`, `~/.kimi-code/config.toml`) when switching models
  • Model Nexus unified model hub

    provider credentials for OpenAI / Anthropic / local LLMs / API routersone shared configuration reused by all scenarios, with a one-click latency check before you commit

    Stores provider credentials/configuration centrally for reuse across tools
  • One-click local LLM

    a model + quantization choicelocal inference via bundled vLLM / SGLang / llama.cpp runtimes

    Downloads and runs local LLM runtimes and model weights on your machine
  • Install & Repair Agent + App Manager

    chat requests / installed AI apps and gamesAI-driven install and repair of mainstream tools (locally and remotely); one-click launch and management for every AI / Agent app & game

    Installs and modifies third-party tools on the machine (works locally and remotely)

04适合谁?何时不该用?

适合

  • Developers and teams setting up AI coding tools (DeepSeek Harness, Claude Code, Codex CLI, Kimi Code, …) on new or heterogeneous machines
  • Users juggling multiple API keys and providers across coding CLIs and desktop AI apps
  • Users who want local inference instead of paying for hosted LLM APIs

不适合

  • EchoBird switches models by rewriting each tool's native config file (e.g. `~/.grok/config.toml`) — manual edits you made to those files may be overwritten when you switch models.
  • The one-line installer pipes a remote script into the shell (`irm … | iex` / `curl … | sh`), which downloads and executes code from echobird.ai — review the script first, or download the release packages instead.

05兼容性、维护与安全提示

  • EchoBird switches models by rewriting each tool's native config file (e.g. `~/.grok/config.toml`) — manual edits you made to those files may be overwritten when you switch models.
  • The one-line installer pipes a remote script into the shell (`irm … | iex` / `curl … | sh`), which downloads and executes code from echobird.ai — review the script first, or download the release packages instead.
  • Linux packages ship only as .deb (Debian/Ubuntu) and .rpm (Fedora/RHEL) for x64 + arm64; other Linux distributions have no prebuilt package listed and Windows is x64-only.
2026-02-152026-08-19v5.6.5

MIT · actively maintained (latest release v5.6.5, 2026-08-16)

06常见问题

EchoBird 如何与 DeepSeek Harness 配合?

DeepSeek Harness 是 EchoBird 支持的编码 CLI 之一——README 演示了对 DeepSeek Harness 的一键安装 + 模型切换。EchoBird 内置安装引用并直接改写工具的原生配置文件,一处安装,无需手动编辑配置。

一键切换模型是如何实现的?

先在 Model Nexus 中配置好供应商(OpenAI / Anthropic / 本地 LLM / API 路由),再把任意支持的工具指向它——EchoBird 会自动改写该工具的原生配置文件,无需手动编辑 TOML / JSON,也不用逐个 CLI 重新登录。

支持哪些平台?如何安装 EchoBird?

Windows、macOS、Linux(x64 + arm64)。一行命令安装:Windows PowerShell 执行 `irm https://echobird.ai/install.ps1 | iex`,macOS / Linux 执行 `curl -fsSL https://echobird.ai/install.sh | sh`;也可从 GitHub Releases 下载 .exe / .dmg / .deb / .rpm 安装包。

可以不花钱用本地模型吗?

可以——EchoBird 内置 vLLM / SGLang / llama.cpp 运行时,选好量化版本点 START 即可。本地 LLM 与云端供应商一起显示在 Model Nexus 中,所有支持的工具都能指向它。

许可证是什么?

EchoBird v5.0.0 及以后版本采用 MIT 许可证;v4.x 及更早版本保持 AGPL-3.0-or-later。欢迎 Fork(保留 NOTICE 署名),EchoBird 名称与 UI 外观在商用再品牌场景下有限制(见 TRADEMARKS.md)。

08数据与来源

  • 作者声明github.com971a9fc04c38…

    DeepSeek Harness One-click install + model switch (DEMO)

  • 作者声明github.com971a9fc04c38…

    EchoBird bundles the install references and **writes each tool's native config file**, so you install from one place and…

页面基于项目公开文档、仓库元数据和 DSH Plugins 的结构化解析生成;最后核验于 2026-08-21。发现错误?提交更正。

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