Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents orchestrated by Langchain.js, Llamaindex.TS and Microsoft Agent Framework.
| Date | Stars |
|---|---|
| 2026-07-31 | 465 |
| 2026-08-01 | 465 |
| 2026-08-02 | 467 |
| 2026-08-04 | 468 |
| 2026-08-05 | 468 |
| 2026-08-06 | 468 |
Today
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Momentum
0.0
growth rate 0.00%/day
<div align="center"> <img src="./docs/ai-travel-agents-logo.png" alt="" align="center" height="128" /> <h1>Agents and MCP Orchestration <br>with Langchain.js, LlamaIndex.TS,<br>and Microsoft Agent Framework!</h1> [](https://discord.gg/NcwHpz6bRW) [](https://aka.ms/foundry/forum) [](https://techcommunity.microsoft.com/blog/AzureDevCommunityBlog/introducing-azure-ai-travel-agents-a-flagship-mcp-powered-sample-for-ai-travel-s/4416683) <br> [](https://codespaces.new/Azure-Samples/azure-ai-travel-agents?hide_repo_select=true&ref=main&quickstart=true) [](https://github.com/Azure-Samples/azure-ai-travel-agents/actions)  [](https://www.typescriptlang.org) [](https://www.java.com) [](https://dotnet.microsoft.com) [](https://www.python.org) [](LICENSE.md) :star: To stay updated and get notified about changes, star this repo on GitHub! [](https://github.com/Azure-Samples/azure-ai-travel-agents)   [Overview](#overview) • [Architecture](#high-level-architecture) • [Features](#features) • [Preview locally FOR FREE](#preview-the-application-locally-for-free) • [Cost estimation](#cost-estimation) • [Join the Community](#join-the-community)  [](#preview-the-application-locally-for-free) </div> ## Overview The AI Travel Agents is a **modular reference application** that leverages multiple **AI agents** to enhance travel agency operations. The application demonstrates how **LangChain.js**, **LlamaIndex.TS**, and **Microsoft Agent Framework** can orchestrate **multiple AI agents** to assist employees in handling customer queries, providing destination recommendations, and planning itineraries. Multiple **MCP** (Model Context Protocol) servers, built with **Python, Node.js, Java and .NET**, are used to provide various tools and services to the agents, enabling them to work together seamlessly. | Agent Name | Purpose | | -------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- | | **Customer Query Unders
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ecd4a4922bb37226, topic:agents, desc:ai agents, readme:ai agents
matched fp:ecd4a4922bb37226, topic:onnx
matched fp:ecd4a4922bb37226, topic:llamaindex
matched fp:ecd4a4922bb37226, topic:mcp, readme:model context protocol