# run-llama/multi-agent-concierge

<https://repo.masters-masters.com/en/repos/run-llama/multi-agent-concierge>

[Home](https://repo.masters-masters.com/en) › [run-llama](https://repo.masters-masters.com/en/owners/run-llama) › [multi-agent-concierge](https://repo.masters-masters.com/en/repos/run-llama/multi-agent-concierge)

run-llama/multi-agent-concierge has 447 stars on GitHub. Its RepoMasters card: Alpha tier. An example of multi-agent orchestration with llama-index

| Field | Value |
| --- | --- |
| Owner | [run-llama](https://repo.masters-masters.com/en/owners/run-llama) |
| Stars | 447 |
| Forks | 79 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [run-llama/multi-agent-concierge](https://github.com/run-llama/multi-agent-concierge) |

## Repository

An example of multi-agent orchestration with llama-index

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.