Overview

Get started with the first & fastest unopinionated AI framework.

What is AINU?

AINU is a lightweight, unopinionated AI framework designed to empower developers to build intelligent systems with ease. It provides a modular and extensible architecture that allows you to integrate AI capabilities into your applications without being locked into a specific workflow or provider.

At its core, AINU is built around the concept of Agents, which act as orchestrators for AI tasks. These agents can leverage Providers (like Anthropic or OpenAI) to access AI models, Tools to perform specific tasks, and MCP (Model Context Protocol) for advanced integrations. Whether you're building conversational agents, automating workflows, or creating custom AI-powered tools, AINU provides the flexibility and simplicity you need.

Key principles of AINU:

• Unopinionated: You decide how to structure your AI workflows.

• Extensible: Add custom tools, providers, or integrations as needed.

• Lightweight: Minimal dependencies and easy to integrate into existing projects.

Key Features

AINU offers a range of features that make it a powerful yet simple framework for AI development:

Agent-Based Architecture: Agents are the central abstraction in AINU, allowing you to define how AI tasks are executed. They can interact with tools, providers, and external systems to achieve complex goals.

Multi-Provider Support: AINU supports multiple AI providers, including Anthropic, OpenAI, and custom providers. This flexibility ensures you can choose the best provider for your use case or switch providers without rewriting your code.

Tooling System: Tools are reusable, modular components that perform specific tasks, such as fetching data or processing inputs. They can be easily added to agents to extend their functionality.

MCP Integration: The Model Context Protocol (MCP) allows agents to interact with external systems or services, enabling advanced use cases like multi-agent collaboration or integration with custom APIs.

Developer-Friendly Design: AINU is designed with developers in mind, offering clear APIs, TypeScript support, and detailed documentation to help you get started quickly.

Lightweight and Modular: AINU avoids unnecessary complexity, focusing on providing only what you need. Its modular design allows you to include only the components relevant to your project.

Use Cases

AINU is versatile and can be applied to a wide range of scenarios. Here are some examples:

Conversational AI Agents: Build chatbots or virtual assistants that can understand and respond to user queries. With AINU's agent-based architecture, you can easily integrate tools for specific tasks like fetching weather data or answering FAQs.

Workflow Automation: Automate repetitive tasks by creating agents that interact with APIs, process data, or perform other actions based on user input or predefined triggers.

Custom AI Tools: Develop domain-specific tools that leverage AI models to solve unique problems. For example, you could create a tool for summarizing legal documents or analyzing financial data.

Multi-Agent Systems: Use MCP to enable collaboration between multiple agents, each specializing in a specific task. This is ideal for complex workflows that require coordination between different AI capabilities.

AI-Enhanced Applications: Integrate AINU into your existing applications to add AI-powered features, such as natural language understanding, recommendation systems, or predictive analytics.