# MoreAgentsIsAllYouNeed/AgentForest

<https://repo.masters-masters.com/en/repos/MoreAgentsIsAllYouNeed/AgentForest>

[Home](https://repo.masters-masters.com/en) › [MoreAgentsIsAllYouNeed](https://repo.masters-masters.com/en/owners/MoreAgentsIsAllYouNeed) › [AgentForest](https://repo.masters-masters.com/en/repos/MoreAgentsIsAllYouNeed/AgentForest)

MoreAgentsIsAllYouNeed/AgentForest has 151 stars on GitHub. Its RepoMasters card: Prototype tier. We present the first systematic study on the scaling…

| Field | Value |
| --- | --- |
| Owner | [MoreAgentsIsAllYouNeed](https://repo.masters-masters.com/en/owners/MoreAgentsIsAllYouNeed) |
| Stars | 151 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [MoreAgentsIsAllYouNeed/AgentForest](https://github.com/MoreAgentsIsAllYouNeed/AgentForest) |

## Repository

We present the first systematic study on the scaling property of raw agents instantiated by LLMs. We find that performance scales with the increase in the number of agents, using the simple(st) way of sampling and voting. Our method is called Agent Forest, as a tribute to the classic Random Forest.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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