{"repo":"eggai-tech/EggAI","free":true,"listed":false,"github":"https://github.com/eggai-tech/EggAI","clone":"git clone https://github.com/eggai-tech/EggAI.git","description":"Async-first meta framework for building enterprise-grade multi-agent systems.","language":"Python","stars":56,"topics":["ai-agents-framework","automation","generative-ai","llms","machine-learning","multi-agent-orchestration","multi-agent-systems","python"],"license":"MIT","category":"ai-agents","readme_excerpt":"Multi-Agent Meta Framework Documentation: EggAI Docs EggAI Multi-Agent Meta Framework makes it easy to build enterprise-grade multi-agent systems with quality-controlled output, using an async-first, distributed and composable architecture. The framework includes: - EggAI SDK : A lightweight abstraction layer for building agents and enabling agent-to-agent communication. - Examples : Practical use cases showing how to use the SDK and integrate EggAI with leading AI frameworks. - Demo : A working multi-agent insurance support system showcasing the Meta Framework in action. EggAI Meta Framework design principles: framework-agnostic, async-first, distributed and composable Demo: Multi-Agent Insurance Support System The EggAI Meta Framework powers a multi-agent insurance support system demo. This interactive demo showcases how EggAI can orchestrate multiple specialized agents to provide personalized insurance support. It features billing inquiries, claims processing, policy information retrieval (RAG), and intelligent routing. Examples: AI Enablement in Action EggAI's SDK is intentionally simple , lightweight , and framework-agnostic , making it easy to integrate with today's leading AI tools—and future-ready for what's next. Here we show practical implementation scenarios and integration guides with popular AI frameworks. Each example is self-contained and ready to run out of the box. We encourage you to explore and copy/paste from our examples for your projects. If you're new t","default_branch":null,"files":null,"tree":[],"storefront":"/r/eggai-tech","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/eggai-tech/EggAI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}