chatarena VS dialop

Compare chatarena vs dialop and see what are their differences.

chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs. (by Farama-Foundation)
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chatarena dialop
6 1
1,238 91
3.1% -
9.2 3.2
4 months ago 12 months ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

chatarena

Posts with mentions or reviews of chatarena. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-10.

dialop

Posts with mentions or reviews of dialop. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing chatarena and dialop you can also consider the following projects:

agency - A fast and minimal framework for building agent-integrated systems

camel - 🐫 CAMEL: Communicative Agents for β€œMind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

camel - 🐫 CAMEL: Communicative Agents for β€œMind” Exploration of Large Scale Language Model Society [Moved to: https://github.com/camel-ai/camel]

ACE - [AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

tidybot - TidyBot: Personalized Robot Assistance with Large Language Models

maro - Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.