Workspace assist core for AI lab input and clipboard utilities
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Project description
AI AssistCore
Core abstractions and utilities for building AI assistants and agent-based applications.
AI AssistCore provides reusable building blocks for developing conversational AI systems, intelligent agents, and AI-powered workflows. It is designed to be lightweight, modular, and provider-agnostic, making it easy to integrate with existing AI ecosystems.
Features
- Provider-independent architecture
- Assistant lifecycle management
- Conversation and context abstractions
- Tool execution interfaces
- Memory interfaces
- Prompt orchestration utilities
- Middleware support
- Modular and extensible design
Installation
pip install ai-assistcore
Requirements
- Python 3.7+ (3.7-3.8 on Windows 7/8; 3.7-3.13 on Windows 10/11)
- Windows 7 / 8 / 8.1 / 10 / 11
- No mandatory AI provider dependency
Quick Start
from ai_assistcore import Assistant
assistant = Assistant()
Use Cases
- AI assistants
- AI agents
- Chat applications
- Workflow automation
- Internal AI platforms
Project Goals
AI AssistCore aims to provide reusable infrastructure that allows developers to focus on application logic instead of repeatedly implementing assistant architecture.
The package intentionally remains provider-agnostic and can be integrated with OpenAI, Anthropic, Google Gemini, local LLMs, or custom model providers.
License
MIT
Project details
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