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hope-agent MCP工具
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hope-agent MCP工具

基于 Rust · 开源 AI 工具,GitHub 社区精选
英文名:hope-agent
⭐ 567 Stars 🍴 62 Forks 💻 Rust 📄 MIT 🏷 AI 8.2分
8.2AI 综合评分
MCP协议跨端交接桌面助手Rust开发云端部署
✦ AI Skill Hub 推荐

hope-agent MCP工具 是 AI Skill Hub 本期精选AI工具之一。综合评分 8.2 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析

hope-agent MCP工具 是一款基于 Rust 的开源工具,在 GitHub 上收获 1k+ Star,是MCP协议、跨端交接、桌面助手、Rust开发领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
hope-agent MCP工具 依赖 Rust 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 Rust 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 hope-agent MCP工具 的版本更新,及时通知重要功能变化。

📋 工具概览

基于MCP协议的开源跨设备AI桌面助手,支持多端无缝交接、个性化学习和云端服务化部署。适合需要智能助手、开发者和AI爱好者,提供高度定制化的AI交互体验。

hope-agent MCP工具 是一款基于 Rust 开发的开源工具,专注于 MCP协议、跨端交接、桌面助手 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 567
开发语言
Rust
支持平台
Windows / macOS / Linux
维护状态
正常维护,社区驱动
开源协议
MIT
AI 综合评分
8.2 分
工具类型
AI工具
Forks
62

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

基于MCP协议的开源跨设备AI桌面助手,支持多端无缝交接、个性化学习和云端服务化部署。适合需要智能助手、开发者和AI爱好者,提供高度定制化的AI交互体验。

hope-agent MCP工具 是一款基于 Rust 开发的开源工具,专注于 MCP协议、跨端交接、桌面助手 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:cargo install(推荐)
cargo install hope-agent

# 方式二:从源码编译
git clone https://github.com/shiwenwen/hope-agent
cd hope-agent
cargo build --release
# 二进制在 ./target/release/hope-agent
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 查看帮助
hope-agent --help

# 基本运行
hope-agent [options] <input>

# 详细使用说明请查阅文档
# https://github.com/shiwenwen/hope-agent
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# hope-agent 配置说明
# 查看配置选项
hope-agent --config-example > config.yml

# 常见配置项
# output_dir: ./output
# log_level: info
# workers: 4

# 环境变量(覆盖配置文件)
export HOPE_AGENT_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 44/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <img src="assets/alpha-logo.png" alt="Hope Agent" width="200"> </p>

Hope Agent

<p align="center"> <strong>A desktop AI assistant that hands off across your devices and gets to know you better the more you use it — also runs headless, on a NAS or in the cloud.</strong><br/> Remembers you · Grows over time · Pursues goals autonomously · Orchestrates work dynamically · Reachable from every chat app you use </p>

<p align="center"> <a href="https://github.com/shiwenwen/hope-agent/actions/workflows/rust.yml"><img src="https://img.shields.io/github/actions/workflow/status/shiwenwen/hope-agent/rust.yml?branch=main&style=flat-square&logo=githubactions&logoColor=white&label=CI" alt="CI status"></a> <a href="https://github.com/shiwenwen/hope-agent/releases"><img src="https://img.shields.io/badge/macOS-000000?style=flat-square&logo=apple&logoColor=white" alt="macOS"></a> <a href="https://github.com/shiwenwen/hope-agent/releases"><img src="https://img.shields.io/badge/Linux-experimental-FFA500?style=flat-square&logo=linux&logoColor=black" alt="Linux (experimental)"></a> <a href="https://github.com/shiwenwen/hope-agent/releases"><img src="https://img.shields.io/badge/Windows-experimental-FFA500?style=flat-square&logo=data:image/svg%2Bxml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCI+PHBhdGggZmlsbD0id2hpdGUiIGQ9Ik0wIDMuNDQ5TDkuNzUgMi4xdjkuNDUxSDBtMTAuOTQ5LTkuNjAyTDI0IDB2MTEuNEgxMC45NDlNMCAxMi42aDkuNzV2OS40NTFMMCAyMC42OTlNMTAuOTQ5IDEyLjZIMjRWMjRsLTEyLjktMS44MDEiLz48L3N2Zz4=" alt="Windows (experimental)"></a> <a href="#run-modes"><img src="https://img.shields.io/badge/Web%20GUI-browser-4F46E5?style=flat-square&logo=googlechrome&logoColor=white" alt="Web GUI"></a> <a href="https://www.rust-lang.org/"><img src="https://img.shields.io/badge/Rust-edition%202021-dea584?style=flat-square&logo=rust&logoColor=white" alt="Rust"></a> <a href="https://tauri.app/"><img src="https://img.shields.io/badge/Tauri-2-24C8DB?style=flat-square&logo=tauri&logoColor=white" alt="Tauri"></a> <a href="https://react.dev/"><img src="https://img.shields.io/badge/React-19-61DAFB?style=flat-square&logo=react&logoColor=black" alt="React"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="License: MIT"></a> </p>

<p align="center"> <strong>English</strong> · <a href="./README.zh-CN.md">简体中文</a> · <a href="https://hopeagent.ai">Website</a> </p>

Capability Overview

Core Capabilities

🖥️ A desktop agent that just worksA native GUI, a broad set of provider templates and preset models, and one-click local model setup. Paste an API key or sign in—no runtime setup, CLI learning curve, or config sprawl required.
🧭 Completes work, not just repliesGoal defines the outcome, Workflow dynamically organizes execution, and Loop decides when to continue. Complex work can progress in the background while remaining visible, pausable, resumable, and adjustable.
🧠 Long-term memory and knowledgeCross-session memory, on-demand recall, offline consolidation, user profiles, and reusable skills compound over time. Knowledge Space lets you and the AI read and write real Markdown together as a traceable second brain.
🎨 From an idea to a deliverable designDesign Space turns a prompt or reference image into 10+ artifact types, including websites, mobile prototypes, and presentations, with visual editing, version history, multi-format export, and handoff into a real codebase.
🛠️ Acts in the real environmentWith permission and approval, Hope Agent can control the computer and browser, run commands, edit files, call MCP tools, connect to workspaces, and coordinate multiple agents.
🌐 Handoff across devices, always availableDesktop / Server / Web / ACP share the same core. The same session, memory, and task state can continue across desktop, browser, and popular IM channels.
🛡️ Local-first, controlled, dependableData stays local by default and model requests go directly to providers. Tool approvals, Docker sandboxing, configuration rollback, crash recovery, and keepalive layers protect long-running operation.

Install Locally

📦 Full installer list across platforms: Releases 🌏 Can't reach GitHub? Every installer is mirrored at <https://repo.hopeagent.ai/download/latest/> (Cloudflare R2, the same domain as the apt / dnf repos), and each manual-install entry below links the mirror directly. The desktop auto-updater prefers this mirror too, with GitHub as the fallback. Past versions are kept indefinitely under https://repo.hopeagent.ai/download/v<version>/.

macOS

Homebrew (recommended)
brew tap shiwenwen/hope-agent
brew install --cask hope-agent
Already have Hope Agent.app installed manually? Append --adopt to let the cask take over your existing same-version app without re-downloading, or --force to overwrite.
Manual install (DMG)

Download Hope.Agent_*.dmg from Releases and drag into Applications. Mirror: Hope.Agent_aarch64.dmg.

If macOS reports "damaged" or "cannot verify the developer" on first launch, run in Terminal:
> sudo xattr -cr /Applications/Hope\ Agent.app
> sudo codesign --force --deep --sign - /Applications/Hope\ Agent.app
> 

Regular releases provide native Apple Silicon (arm64) builds. Intel Mac (x64) packages are produced separately on demand: check that the target release actually contains an x64 DMG before installing. Homebrew and the download page cannot supply an Intel package when that asset is absent.

Launch modes
  • Desktop GUI: Launchpad / Applications folder (click the Hope Agent icon), or open -a "Hope Agent" / hope-agent from a terminal
  • Browser Web GUI: open <http://127.0.0.1:8420> after launching the desktop app, or run hope-agent server start to start only the service without a desktop window
  • ACP (IDE integration): hope-agent acp

Windows

Scoop (recommended)
scoop bucket add hope-agent https://github.com/shiwenwen/scoop-hope-agent
scoop install hope-agent
Manual install (installer)

Download Hope.Agent_*-setup.exe from Releases and double-click. Mirror: Hope.Agent_x64-setup.exe. Windows is not yet fully tested — please file issues if anything breaks.

If Windows reports "MSVCP140_1.dll was not found" or a similar missing VCRUNTIME140.dll / MSVCP140.dll error on launch, install the Microsoft Visual C++ 2015–2022 Redistributable (x64) and relaunch.

x64 only.

Launch modes
  • Desktop GUI: click "Hope Agent" in the Start menu, or hope-agent from PowerShell
  • Browser Web GUI: open <http://127.0.0.1:8420> after launching the desktop app, or run hope-agent server start in PowerShell / cmd to start only the service without a desktop window
  • ACP (IDE integration): hope-agent acp

Linux

Arch Linux / Manjaro (AUR)
yay -S hope-agent-bin   # or paru / any AUR helper

Pre-built binary package (repackaged from the GitHub Release .deb) — no source compilation.

Debian / Ubuntu (apt)
curl -fsSL https://repo.hopeagent.ai/pubkey.gpg | \
  sudo gpg --dearmor -o /usr/share/keyrings/hope-agent.gpg
echo "deb [signed-by=/usr/share/keyrings/hope-agent.gpg] https://repo.hopeagent.ai/apt stable main" | \
  sudo tee /etc/apt/sources.list.d/hope-agent.list
sudo apt update
sudo apt install hope-agent
Fedora / RHEL / CentOS (dnf / yum)
sudo curl -fsSL https://repo.hopeagent.ai/rpm/hope-agent.repo \
  -o /etc/yum.repos.d/hope-agent.repo
sudo dnf install hope-agent     # or `sudo yum install hope-agent`
The older sudo dnf config-manager --add-repo … form has been removed in dnf5 (Fedora 41+); the curl variant above works on dnf4 / dnf5 / yum / zypper alike.

openSUSE users:

sudo zypper addrepo https://repo.hopeagent.ai/rpm/hope-agent.repo
sudo zypper install hope-agent
Manual install (AppImage / deb / rpm)

From Releases (filenames include the arch suffix — pick _amd64 / _arm64 for deb/AppImage or .x86_64 / .aarch64 for rpm):

  • AppImage: Hope.Agent_*.AppImage — chmod +x and run. Mirror: amd64 · aarch64
  • Debian / Ubuntu: Hope.Agent_*.deb — sudo dpkg -i Hope.Agent_*.deb. Mirror: amd64 · arm64
  • Fedora / RHEL: Hope.Agent_*.rpm — sudo rpm -i Hope.Agent_*.rpm. Mirror: x86_64 · aarch64

Both amd64 (x86_64) and arm64 (aarch64) native builds are published, covering desktops, Raspberry Pi 4/5, Apple Silicon Macs running Asahi Linux, and Graviton / Ampere cloud VMs. apt and dnf automatically pick the right arch via dpkg --print-architecture / $basearch.

Launch modes
  • Desktop GUI: click "Hope Agent" in your app menu, or hope-agent from a terminal
  • Browser Web GUI: open <http://127.0.0.1:8420> after launching the desktop app, or run hope-agent server start to start only the service without a desktop window
  • ACP (IDE integration): hope-agent acp

First launch & auto-update

  1. First launch wizard: pick a provider template → paste API key / sign in with Codex OAuth → chat.
  2. Desktop builds ship with a built-in auto-updater (it reads the repo.hopeagent.ai mirror first and falls back to GitHub Releases). Go to Settings → About in-app to check for and install updates, or just tell the model "upgrade" / "check for updates" in chat. Installers fetched by the updater are signature-verified against the built-in public key — the mirror and GitHub go through the identical check. (Manual downloads are installed by your OS and do not pass through it.)
  3. Versions installed via Homebrew / AUR / Scoop also receive updates through the built-in updater; the package manager's recorded version stays pinned to the initial install version and does not affect functionality.
To connect from a phone or another computer, set an API key under Settings → Server and change the bind address to 0.0.0.0:8420. After restarting, open http://<IP of the device running Hope Agent>:8420. Never expose the port to a LAN or the public internet without authentication; for public access, put it behind an HTTPS reverse proxy. See the Docker deployment guide.

Self-hosting (Docker)

For running Hope Agent on a home NAS / VPS / homelab and accessing the Web GUI from a browser:

docker run -d \
  --name hope-agent \
  -p 127.0.0.1:8420:8420 \
  -v hope-data:/data \
  ghcr.io/shiwenwen/hope-agent:latest

Once the container is running, open <http://127.0.0.1:8420> in a browser and follow the onboarding wizard to configure provider API keys. The image covers linux/amd64 + linux/arm64 (including Apple Silicon and Raspberry Pi) and is auto-built on every release tag.

For docker-compose, the optional Ollama sidecar for local LLMs, LAN exposure, reverse proxy + TLS, and upgrade flow, see docs/deployment/docker.en.md.

Quick Start

🎯 aiskill88 AI 点评 A 级 2026-05-20

Rust实现的MCP标准Agent框架,跨端交接和个性化学习特色明显。567星活跃度适中,架构创新度高,适合开发者和企业应用探索。

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
  • 跨境业务、多语言内容运营团队
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
部署方案
  • Docker:hope-agent 提供官方镜像,docker compose up 一键启动
  • 本地部署:CPU 8GB 起,GPU 推荐 16GB+ 显存
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
hope-agent 中文教程hope-agent 安装报错怎么办hope-agent MCP 配置hope-agent Docker 部署hope-agent Agent 工作流hope-agent 与同类工具对比hope-agent 最佳实践hope-agent 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
  • 跨境业务、多语言内容运营团队
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型

👥 适合人群

AI 技术爱好者研究人员和学生开发者和工程师技术创业者

🎯 使用场景

  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • −安装和初始配置可能需要一定技术基础
  • −功能完整性通常不如成熟商业产品
  • −技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

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❓ 常见问题 FAQ

作为Rust项目,理论支持Windows、macOS、Linux,具体需查阅官方文档
💡 AI Skill Hub 点评

经综合评估,hope-agent MCP工具 在AI工具赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

📚 深入学习 hope-agent MCP工具
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 hope-agent
原始描述 开源MCP工具:🦭跨端交接、越用越懂你的桌面 AI 助手——也能服务化常驻、跑在云上 | Desktop AI that hands off across your devi。⭐567 · Rust
Topics MCP协议跨端交接桌面助手Rust开发云端部署
GitHub https://github.com/shiwenwen/hope-agent
License MIT
语言 Rust
🔗 原始来源
🐙 GitHub 仓库  https://github.com/shiwenwen/hope-agent

收录时间:2026-05-16 · 更新时间:2026-05-19 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

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