MAgent
★ 1.8k
vs
rllm
★ 5.9k
MAgent vs rllm
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.; rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.
01
TL;DR
MAgentLLM Infra · ★ 1.8k
Many-agent reinforcement learning research
rllmLLM Infra · ★ 5.9k
Training powerful coding models for tasks like code generation and bug fixing.
02
Side-by-Side Comparison
Field
MAgentrllmCategory
LLM Infra
LLM Infra
Stars
★ 1.8k
★ 5.9k
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
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
4y ago
1w ago
Open Source
Yes
Yes
Tags
Multi-Agent Reinforcement Learning, Simulation Platform, Collective Intelligence
Reinforcement Learning, Language Agents, LLM
03
Features
MAgent01Scalable 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)
rllm01Open-source framework for reinforcement learning-based post-training of language agents.
02Supports building, training, and deploying custom agents and environments.
03Offers multiple training backends including 'verl' and 'tinker'.
04Enables LoRA and VLM training for advanced models.
05Includes AgentWorkflowEngine for training over arbitrary agentic programs.
04
Use Cases
MAgent↳Many-agent reinforcement learning research
↳Development of artificial collective intelligence
↳Benchmarking RL algorithms in large-scale environments
rllm↳Training powerful coding models for tasks like code generation and bug fixing.
↳Developing sophisticated software engineering agents for automated tasks.
↳Building and evaluating multi-agent systems using reinforcement learning techniques.
05
Best For
MAgent—
rllmTrending
FAQ
FAQ
What is the difference between MAgent and rllm?
Both MAgent and rllm are in the LLM Infra category. MAgent has 1.8k stars, while rllm has 5.9k stars.
Which is better, MAgent or rllm?
The best choice depends on your use case. Choose MAgent if Many-agent reinforcement learning research, and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is MAgent free or open source?
Yes, MAgent is open source on GitHub (MIT).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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