5ire
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
- 评测生成时间(北京时间)
- 本报告引擎
- v3.17.3
- 当前引擎
- v3.17.3
规则版本一致,但报告只反映生成时的证据,不代表项目代码和安全状态始终不变。
进入后确认来源与额度,提交才会创建任务。
核对代码版本与送评文本摘要
仅记录实际送评的受限文本,不是完整仓库审计、安装结果或运行时安全保证。Stars、下载量和仓库元数据为采集时的独立信号,不属于此 commit 快照。
nanbingxyz/5ire @ 7951787b4dbc5d3c3179f51571788dc30bb11046目录树:6b011720576be7dc09b39a8a5dbf456d0d2a9f64
README 来源:README.md
- README.md · 6888 字符
SHA-256: faac554a75bd8011710c2f6486afd1488a27255bba7efc4a5a61a157df88d01f - package.json · 6545 字符
SHA-256: bfeb5a92e74957a99aace0e07cea006421f30a411ed568320c205a0ec9ebd6fe
摘要对应送评 UTF-8 文本,可能为限额节选,不等于 Git blob SHA。来源由采集方提供,摘要本身不证明来源真实性。
综合采用结论
核心能力可用,建议在受控范围内试用
- 基础评测完成+25/25确定性评分与静态安全扫描已完成
- README 有效证据+10/253,800 个去重后的有效字符
- 独立证据来源+8/202 类非重复证据,重复文件不叠加
- 仓库元数据+10/10已取得仓库状态与采用数据
- 活跃记录+5/5已取得最近提交时间
- AI 复核+15/15已完成结构化 AI 证据复核
本报告评了什么
综合分用于静态采用筛选,不是任务成功率,也不代表使用 Skill 后的能力提升。
- 静态检查范围
- 记录 2 个文件 · 13,433 字符
- 只检查采集到的受限文本与已知风险模式;未读取的脚本、依赖和运行环境不在结论内。
- AI 内容复核
- 已使用
- 复核送评文本的说明和设计,不是安装测试或实际任务执行。记录缺失时不推断已使用或未使用。
- 真实任务效果
- 本报告未提供实测证据
- 没有使用/不使用 Skill 的任务对照、重复运行或耗时与 token 成本结果。采用前仍需在隔离环境验证自己的任务。
脚本引用覆盖
脚本引用覆盖记录不可得;不推断没有引用或已经检查。
5ire 组件与能力关系
README 以功能组件与外部依赖关系为主,无明确时序步骤
左右滑动查看完整图示
- • Features 章节:Support Tools via MCP Servers 说明可访问文件系统、数据库、远程数据
- • Features 章节:Local Knowledge Base 使用 bge-m3 本地嵌入并存储向量
- • 顶部列出 OpenAI、Azure、Anthropic、Google、Ollama 等服务商
- Features 章节列出 Support Tools via MCP Servers、Local Knowledge Base、Usage Analytics、Prompts Library、Bookmarks、Quick Search
- 前置条件段落要求安装 Python、Node.js、uv,并链接 INSTALLATION.md
- Local Knowledge Base 声明使用 bge-m3 本地嵌入,支持 docx、xlsx、pptx、pdf、txt、csv
- TIP 说明原生依赖需按平台打包,macOS 需配置 APPLE_TEAM_ID、APPLE_ID、APPLE_ID_PASS 公证
- Getting involved 指向 DEVELOPMENT.md 与 Wiki,但 README 无安装命令与许可证声明
- 问题与用途描述
- 有效 README
- 输入、参数或工具说明
- 输出或结果说明
- 未发现已知高风险模式
- 缺少安装或接入步骤
- 缺少可执行示例
- 缺少错误处理或排障
- README 未给出安装命令或最小可运行示例,仅外链 INSTALLATION.md
- 无错误处理、失败路径或排障章节
需要在桌面端统一接入多家 LLM 服务商的用户、希望用 MCP 工具扩展 AI 助手能力的用户、需要本地文档 RAG 知识库的个人或小团队
需要无 GUI 的服务器端或 CI 自动化集成的场景、要求明确许可证合规审查后再采用的组织
也有自己的公开项目?先看完证据,再用当前规则生成独立报告。
评测我的项目 →静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。
- 01补充安装或接入步骤
- 02补充可执行示例
- 03补充错误处理或排障
方法、证据与局限展开收起
GitHub Repository API
2 个文件 · 13,433 字符
v3.17.3 · AI 内容复核:已使用(deepseek-flash)
- 静态评测不会安装或执行项目代码
- 安全扫描基于高信号文件与已知模式,不能替代人工审计
- 流行度只反映采用程度,不代表安全或工程质量
30 天热度趋势
README
(pronounced "fai-er")
A Sleek AI Assistant & MCP Client
Twitter · Releases
Before to activating tools feature, ensure the following components are installed:
- Python
- Node.js
- uv (Python package manager)
These components are required as they constitute the runtime environment for the MCP Server. If you don't anticipate using the tools feature immediately, you may choose to skip this installation step and complete it later when the need arises.
For detailed installation instructions, please see our Installation Guide.
💪 Getting involved
If you want to contribute code to 5ire or develop your own apps based on 5ire, start with the Development Setup Guide.
Visit Wiki for more details.
🚀 To integrate 5ire’s one-click server installation into your website, see the One-Click Server Installation Integration Guide.
💬 Community
Join the Discord, By joining, you’ll get:
- Faster responses to your questions and issues
- Direct input on new features and improvements
- A place to share ideas, tips, and feedback with other 5ire users
- Opportunities to co-build and shape the future of 5ire together
Features
⚒️ Support Tools via MCP Servers
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
With tools, you can access the file system, obtain system information, interact with databases, access remote data, and more, rather than just having a simple conversation.
https://github.com/user-attachments/assets/5aa98f2b-c26d-435e-8196-73fa414066eb
We have created an open marketplace for MCP Servers. it empowers users to discover exceptional tools while offering a streamlined process for sharing their own MCP server creations.
https://github.com/user-attachments/assets/be66c30e-bb29-4dfe-9f25-8d396470ed60
💡 Local Knowledge Base
We have integrated the bge-m3 as our local embedding model, which excels in multilingual vectorization. 5ire now supports parsing and vectorization of docx, xlsx, pptx, pdf, txt, and csv documents, enabling storage of these vectors to power robust Retrieval-Augmented Generation (RAG) capabilities locally.

📈 Usage Analytics
By keeping track of your API usage and spending, you can gain a better understanding of how much you're spending on the API and make informed decisions to optimize your use of the service.

✨ Prompts Library
The prompt library provides an effective way to create and organize your own prompts. These prompts are highly versatile, thanks to their support for variables.

🔖 Bookmarks
You can bookmark each conversation, and even if the original messages are deleted, the saved bookmarked content remains unaffected.

🔍 Quick Search
You can perform keyword searches across all conversations, quickly pinpointing the information you need.

[!TIP] Since 5ire uses native dependencies, it needs to be packaged on the corresponding platform. If it is on Mac OS, you may also need to configure APPLE_TEAM_ID, APPLE_ID, and APPLE_ID_PASS for notarization to avoid security alerts.
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