AgentIndex icon
AgentIndex
MAgent logo
MAgent
★ 1.8k
vs
verl-agent logo
verl-agent
★ 2.4k

MAgent vs verl-agent

MAgent: MAgent is a research platform designed for many-agent reinforcement learning, supporting scaling from hundreds to millions of agents. It provides a robust environment for exploring artificial collective intelligence, offering compatibility with Linux and OS X and various deep learning frameworks.; verl-agent: `verl-agent` extends veRL to train LLM agents using reinforcement learning, featuring a novel step-independent multi-turn rollout mechanism. This design ensures high scalability for long-horizon tasks by allowing customizable per-step input structures and memory management.

01

TL;DR

MAgent logo
MAgentLLM Infra · ★ 1.8k

Many-agent reinforcement learning research

Read MAgent full review →
verl-agent logo
verl-agentLLM Infra · ★ 2.4k

Training large language model agents for complex multi-turn, long-horizon tasks.

Read verl-agent full review →
02

Side-by-Side Comparison

Field
MAgent logoMAgent
verl-agent logoverl-agent
Category
LLM Infra
LLM Infra
Stars
★ 1.8k
★ 2.4k
License
MIT
Apache-2.0
Install Command
git clone [email protected]:geek-ai/MAgent.git && cd MAgent && sudo apt-get install cmake libboost-system-dev libjsoncpp-dev libwebsocketpp-dev && bash build.sh && export PYTHONPATH=$(pwd)/python:$PYTHONPATH
pip install -e .
Updated
4y ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent Reinforcement Learning, Simulation Platform, Collective Intelligence
LLM Agents, Reinforcement Learning, Deep Learning
03

Features

MAgent logoMAgent
01Scalable Many-Agent Support (hundreds to millions)
02Flexible Agent Development (rule-based or deep learning)
03Diverse Demo Scenarios (pursuit, gathering, battle)
04Interactive Battle Game Mode
05Integrated Baseline RL Algorithms (DQN, DRQN, A2C)
verl-agent logoverl-agent
01Multi-Turn Agent-Environment Interaction
02Fully Customizable Memory Module & Per-Step Input Structure
03Scalable for Very Long-Horizon Optimization
04Parallelized Gym-Style Environments and Group Environments
05Diverse Reinforcement Learning Algorithms
04

Use Cases

MAgent logoMAgent
↳Many-agent reinforcement learning research
↳Development of artificial collective intelligence
↳Benchmarking RL algorithms in large-scale environments
verl-agent logoverl-agent
↳Training large language model agents for complex multi-turn, long-horizon tasks.
↳Developing reasoning agents for both visual and text-based environments.
↳Solving digital interface control, embodied AI, and search-related challenges.
FAQ

FAQ

What is the difference between MAgent and verl-agent?
Both MAgent and verl-agent are in the LLM Infra category. MAgent has 1.8k stars, while verl-agent has 2.4k stars.
Which is better, MAgent or verl-agent?
The best choice depends on your use case. Choose MAgent if Many-agent reinforcement learning research, and verl-agent if Training large language model agents for complex multi-turn, long-horizon tasks..
Is MAgent free or open source?
Yes, MAgent is open source on GitHub (MIT).
Is verl-agent free or open source?
Yes, verl-agent is open source on GitHub (Apache-2.0).
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Related

Alternatives to MAgent →Alternatives to verl-agent →MAgent details →verl-agent details →