AiPy Giving AI hands to get things done

What is AiPy?

Leverage the power of Large Language Models (LLMs) combined with Python programming to automate complex tasks directly from your machine. AiPy acts as a sophisticated AI assistant, translating your ideas into actionable Python code. It analyzes local data, interacts with local applications, and delivers tangible results, moving beyond simple question-answering capabilities. This tool empowers users by enabling AI to not just think, but also do.

Designed for versatility, AiPy supports local deployment, ensuring data privacy and security, particularly for sensitive information or large file processing. It operates by understanding user tasks, planning execution steps, automatically generating the necessary Python code, and even debugging itself during runtime. This approach provides a seamless way to automate workflows, from travel planning and game development to document processing and data analysis, directly interacting with your computer's resources and external APIs as needed.

Features

LLM Integration: Connects with various large language models (including local ones like Ollama, LMStudio, and recommended DeepSeek) via API.
Automatic Python Code Generation: Translates user tasks into executable Python code.
Task Execution & Automation: Runs the generated code to complete tasks, interacting with local files and applications.
Local Deployment: Can be installed and run locally on Windows, macOS, or Linux for enhanced privacy and control.
Open Source: The core Python-Use code is available on GitHub for transparency and community contribution.
Self-Debugging Capability: Automatically identifies and attempts to fix errors in the generated code during execution.
API Calling: Integrates with external APIs (e.g., search, maps, social media) and supports private local APIs.
Task-Oriented Approach: Focuses on completing specific user-defined tasks rather than just providing information.

Use Cases

Automate travel planning by querying real-time transport, accommodation, and pricing data.
Develop simple web-based games by generating HTML/JS code and fetching assets via APIs.
Process local documents by extracting specific information (like FAQs) and saving it in structured formats (e.g., CSV).
Act as a life assistant by finding local businesses (like restaurants) based on user criteria and presenting results.
Automate data analysis and report generation for business reviews or performance analysis.
Execute custom tasks requiring interaction with local files, applications, or specific APIs.

FAQs

What is the difference between AiPy and traditional AI models?

Traditional AI models primarily focus on question-answering, while AiPy is task-oriented. AiPy uses AI to understand tasks, generate Python code, and execute it to complete the task, effectively giving the AI the ability to 'do' things on your computer.
Is AiPy a new Large Language Model (LLM)?

No, AiPy is not an LLM itself. It's an application built *on top* of existing LLMs, using their APIs to understand tasks, plan, and generate code for execution.
How does AiPy compare to other AI Agent tools like Manus or MCP?

AiPy differs by being open-source, free (users pay for LLM API tokens if using paid models), and supporting local deployment for privacy. It follows a 'No Agents, Code is Agent' paradigm, generating Python code on the fly for tasks rather than relying on a large library of pre-built agent tools, potentially reducing complexity and token costs.
What LLMs does AiPy support?

AiPy theoretically supports any LLM with an accessible API. Users configure the API details. It specifically mentions support for Ollama and LMStudio for local models and recommends DeepSeek for cost-effectiveness.
Can AiPy call private or custom APIs?

Yes, when deployed locally, AiPy can be configured to call local, private APIs by adding the API description and address to its configuration file. It can also use public APIs by including API keys when generating code.