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cloudwegoAgent and orchestration examples for AI development
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Summary
This repository provides practical examples and demonstrations for the CloudWeGo Eino framework, enabling developers to quickly understand and leverage its capabilities for building AI-powered applications and agents. It serves as a hands-on guide for Eino's features, from basic agent creation to complex orchestration and multi-agent systems.
How It Works
Eino Examples showcases Eino's modular architecture through distinct directories: Agent Development Kit (ADK) for building agents, Compose for orchestration (chains, graphs, workflows), Flow for agent patterns (ReAct, multi-agent), and Components for reusable modules (models, retrievers, tools). The examples illustrate data flow, agent interaction, session management, and advanced patterns like Human-in-the-Loop and Plan-Execute-Replan. This approach facilitates rapid prototyping and development of sophisticated AI applications by combining pre-built components and orchestration strategies.
Quick Start & Requirements
The quickstart directory offers end-to-end examples, including a basic LLM chat and a complete RAG application with a web UI. Running these examples requires the Eino framework itself, likely Python, and potentially specific LLM provider access or vector database configurations depending on the example. Links to the core Eino framework (https://github.com/cloudwego/eino), extensions (https://github.com/cloudwego/eino-ext), and official documentation (https://www.cloudwego.io/docs/eino/) are provided for setup and deeper dives.
Highlighted Details
Maintenance & Community
This repository is part of the CloudWeGo organization, indicating potential backing and stability. Specific community channels (e.g., Discord, Slack) or notable contributors are not detailed within this README. Links to the main Eino framework and its extensions are provided for further exploration.
Licensing & Compatibility
This project is licensed under the Apache-2.0 License. This permissive license generally allows for commercial use and integration into closed-source projects without significant restrictions.
Limitations & Caveats
This repository exclusively contains examples and demonstrations; the core Eino framework must be obtained and managed separately. Setting up and running advanced examples may necessitate substantial computational resources and specific environment configurations not fully detailed herein. Users should consult the main Eino framework repository for comprehensive installation instructions and potential framework-level limitations.
2 days ago
Inactive
ag2ai
microsoft