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Version: 1.0.3

ASI1-Mini Example Repositories

Below is a brief overview of various open-source repositories demonstrating how to integrate and use ASI1-Mini in different scenarios, from simple scripts to advanced multi-agent systems.

1. ASI-1-Mini-simple-Examples

GitHub: ASI-1-Mini-simple-Examples
A collection of simple agents built with the uAgents framework. Each script focuses on a specialized task (language tutor, LeetCode solver, fun fact generator, etc.) and is powered by ASI1-Mini.

2. langchain-asi

GitHub: langchain-asi integration
A lightweight integration package connecting ASI1’s API with LangChain. Ideal if you want to easily swap out other LLM providers for ASI1-Mini while retaining multi-turn conversations, agent support, system messages, and more.

3. ASI-1_mini_Langchain

GitHub: ASI-1_mini_Langchain and tavily
Shows a custom LLM integration with LangChain and Tavily Search. Learn how to build a custom LangChain LLM class that calls the ASI1-Mini API and fetches external information for more sophisticated query handling.

4. DeFI-Agent-Starter

GitHub: DeFI-Agent-Starter
A multi-agent system focusing on DeFi (Decentralized Finance) use cases. It leverages AgentVerse and ASI1-Mini to determine whether to hold or sell a crypto asset based on Fear and Greed Index and sentiment analysis.

5. ASI1-Mini-Chat-System

GitHub: ASI1-Mini-Chat-System
A modular, agent-based chat system powered by uAgents. It features a Client Agent and a Server Agent that communicate in real time, with queries relayed to the ASI1 API for intelligent responses.

Getting Started

  1. Clone any repository that fits your interests.
  2. Install dependencies and create a .env file (or set environment variables) with your ASI1_API_KEY. Get your API Key here.
  3. Run the sample scripts or follow the instructions in each repo’s README.
  4. Experiment & Customize – tweak prompts, add tools, or integrate more data sources.
note

Note: You can learn more about ASI-1 Mini APIs here.

With ASI1-Mini, you can rapidly build anything from simple chatbots to complex, multi-agent DeFi applications.