v1.1.0

Carefree

Local AI Assistant Platform

Multi-Agent Collaboration · Offline Speech Recognition · Modular Skill System · Data stays on your device; privacy and security are fully under your control.

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Core Features

Core Features

Multi-Agent Collaboration

Built-in multi-agent collaboration supports up to 5 concurrent worker threads for efficient complex task processing.

Multimodal capabilities

Supports a wide range of domestic models with flexible configuration to meet diverse scenario needs.

Offline speech recognition

Integrates the Sherpa-ONNX engine for offline voice input with fully localized data processing.

Web Research

Aggregate network information, compare and verify across multiple sources, and quickly access accurate insights.

Platform Operations

Agent diagnostics, model monitoring, log analysis, and troubleshooting to ensure stable system operations

File Operations

Secure file read/write/search, sensitive data protection, and efficient local resource management

Technology Stack

Technical Specifications

Core Dependencies

DependenciesVersion RequirementUse
PyQt6>=6.6.0GUI framework
MCP>=1.0.0Model Context Protocol
aiohttp>=3.9.0Asynchronous HTTP Client
PyYAML>=6.0.1YAML Configuration Parsing
SQLAlchemy>=2.0.0Database ORM
sherpa-onnx>=1.13.4Offline Speech Recognition
faiss-cpu>=1.7.0Vector similarity search

System Information

Development Language

Python

Interface Framework

PyQt6

Deployment Method

Local Standalone

Concurrent Threads

5

Use Cases

Use Cases

Online Survey

Online Survey

Search and aggregate online information; compare and verify across multiple sources for fact-checking and news tracking.

Smart Office

Smart Office

File operations, command execution, and browser control to boost daily productivity

System Operations

System Operations

Agent Connection Diagnostics, Model Configuration Validation, Log Analysis, and Performance Optimization

Privacy

Privacy Protection

Offline speech recognition with local deployment ensures data stays on your device, safeguarding information security.

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