Aime Box
What is Aime Box
Aime Box is a multi-platform desktop chat client developed using Langchain and Electron. It supports local knowledge bases, tool invocation, and multiple intelligent agent calls, aiming to achieve fully offline executable intelligent agents.
Use cases
Use cases for Aime Box include extracting data from specified files, generating Python scripts for user tasks, conducting conversations using local knowledge bases, and performing OCR tasks in Windows environments.
How to use
To use Aime Box, first add a model provider (e.g., Ollama). Then, manage the models by enabling the required ones. You can start chatting on the chat page. For local model management, download necessary models and adjust settings as needed.
Key features
Key features include support for multiple model providers (Ollama, OpenAI, DeepSeek, Anthropic, etc.), various tool invocations (web loader, web search, STT, TTS, OCR, etc.), a local knowledge base engine using LanceDB, multiple agents for data extraction, code assistance, and translation, as well as prompt saving functionality.
Where to use
Aime Box can be used in various fields such as software development, data analysis, education, and any domain requiring intelligent assistance and local knowledge management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Aime Box
Aime Box is a multi-platform desktop chat client developed using Langchain and Electron. It supports local knowledge bases, tool invocation, and multiple intelligent agent calls, aiming to achieve fully offline executable intelligent agents.
Use cases
Use cases for Aime Box include extracting data from specified files, generating Python scripts for user tasks, conducting conversations using local knowledge bases, and performing OCR tasks in Windows environments.
How to use
To use Aime Box, first add a model provider (e.g., Ollama). Then, manage the models by enabling the required ones. You can start chatting on the chat page. For local model management, download necessary models and adjust settings as needed.
Key features
Key features include support for multiple model providers (Ollama, OpenAI, DeepSeek, Anthropic, etc.), various tool invocations (web loader, web search, STT, TTS, OCR, etc.), a local knowledge base engine using LanceDB, multiple agents for data extraction, code assistance, and translation, as well as prompt saving functionality.
Where to use
Aime Box can be used in various fields such as software development, data analysis, education, and any domain requiring intelligent assistance and local knowledge management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Aime Box
一款基于 langchain + electron开发的多平台桌面端 Chat 客户端
支持本地知识库，tool调用，多个智能agent调用
目标尽量实现全离线本地可执行的智能agent
🖼 截图
开始
- 添加模型提供商(如Ollama)
- 点击管理模型(启用需要的模型)
- 聊天页面即可对话聊天
- 下载一些本地模型 设置-本地模型管理(如国内调整HuggingfaceUrl为hf-mirror)
- 推介下载
- bge-m3 用于知识库检索
- bge-reranker-large 用于知识库重排序
- RapidOCR-json_v0.2.0 用于win环境下的ocr
- matcha-icefall-zh-baker 用于语音生成
- sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17 用于语音识别
- silero_vad 用于分离说话场景
- sherpa-onnx-pyannote-segmentation-3-0、3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k 用于说话人识别
- rmbg-1.4 用于背景消除
🌟 特点
- 多个模型供应商支持 ollama、openai、deepseek、anthropic等等
- 多种工具调用支持 webloader、websearch、stt、tts、ocr等等
- 本地知识库引擎，使用lancedb 进行本地知识库检索，支持image、docx、doc、text、url做为输入源
- 多agent，目前有数据提取agent、代码助手、翻译助手
- 提示词保存功能
- MCP支持,可接入供模型调用
📝 Todo
- [x] mac平台兼容
- [ ] 多语言支持
- [ ] 文档对话功能类似于ChatDoc 支持docx、pdf、txt、url、mp4、音频文件等格式的对话
- [x] 浏览器browser-use
- [ ] Tool自动创建工具，输入url或说明文档自动创建工具供模型调用
- [ ] 更多的agents
- [x] a2a支持
Agent
Extract数据提取助手，用于对指定文件或文件夹下所有文件进行检索，根据用户给出的字段进行全文或部分抽取，markdown格式输出ScriptAssistant对用户的任务生成一个python脚本和venv环境执行
🔌 技术栈
感谢以下开源项目的支持
- electron-react-boilerplate 用于electron开发的react框架模板
- langchainjs agent框架
- lancedb 本地向量知识库
- sherpa-onnx 语音识别和语音合成等
- @huggingface/transformers 本地运行onnx模型库
如有缺漏请联系作者补充
🐞 Dev
# node 22
nvm install 22
nvm use 22
npm i -g node-gyp
npm install
npm run start
💼 Build
# window
npm run package
🌐 About
author: [email protected]
ChangeLog
License
This project is licensed under the Apache License 2.0. See the LICENSE file for details.
© Aime Box
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
