AgentIndex icon
AgentIndex
verl-agent logo
verl-agent
★ 2.4k
vs
rllm logo
rllm
★ 5.9k

verl-agent vs rllm

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.; 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

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 →
rllm logo
rllmLLM Infra · ★ 5.9k

Training powerful coding models for tasks like code generation and bug fixing.

Read rllm full review →
02

Side-by-Side Comparison

Field
verl-agent logoverl-agent
rllm logorllm
Category
LLM Infra
LLM Infra
Stars
★ 2.4k
★ 5.9k
License
Apache-2.0
Apache-2.0
Install Command
pip install -e .
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
4mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Reinforcement Learning, Deep Learning
Reinforcement Learning, Language Agents, LLM
03

Features

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
rllm logorllm
01Open-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

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.
rllm logorllm
↳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

verl-agent logoverl-agent
—
rllm logorllm
Trending
FAQ

FAQ

What is the difference between verl-agent and rllm?
Both verl-agent and rllm are in the LLM Infra category. verl-agent has 2.4k stars, while rllm has 5.9k stars.
Which is better, verl-agent or rllm?
The best choice depends on your use case. Choose verl-agent if Training large language model agents for complex multi-turn, long-horizon tasks., and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is verl-agent free or open source?
Yes, verl-agent is open source on GitHub (Apache-2.0).
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
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Related

Alternatives to verl-agent →Alternatives to rllm →verl-agent details →rllm details →