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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

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