AIME-BOX

What is AIME-BOX?

AIME-BOX is a multi-platform desktop chat client developed using Langchain and Electron, designed to support local knowledge bases, tool calls, and multiple intelligent agent interactions, aiming for fully offline executable intelligent agents.

How to use AIME-BOX?

1. Add a model provider (e.g., Ollama).
2. Manage models by enabling the required ones.
3. Use the chat page for conversations.
4. Download local models and manage them in settings (e.g., adjust Huggingface URL for local use).

Key features of AIME-BOX?

• Support for multiple model providers like Ollama, OpenAI, DeepSeek, and Anthropic.
• Various tool calls including web loader, web search, speech-to-text (STT), text-to-speech (TTS), and OCR.
• Local knowledge base engine using LanceDB for retrieval from images, documents, and URLs.
• Multiple agents including data extraction, code assistance, and translation.
• Prompt saving functionality.
• MCP support for model calls.

Use cases of AIME-BOX?

1. Extracting data from specified files or folders.
2. Generating Python scripts for user tasks.
3. Engaging in conversations using various document formats like docx, pdf, and audio files.

FAQ from AIME-BOX?

• Can AIME-BOX work offline?

Yes! AIME-BOX is designed to function fully offline with local models.

• What types of files can be used for knowledge base retrieval?

AIME-BOX supports images, docx, doc, text, and URLs as input sources.

• Is there support for multiple languages?

Currently, multi-language support is in progress.