rllm
★ 5.9k
vs
xLAM
★ 641
rllm vs xLAM
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.; xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.
01
TL;DR
rllmLLM Infra · ★ 5.9k
Training powerful coding models for tasks like code generation and bug fixing.
xLAMLLM Infra · ★ 641
Function calling in LLMs
02
Side-by-Side Comparison
Field
rllmxLAMCategory
LLM Infra
LLM Infra
Stars
★ 5.9k
★ 641
License
Apache-2.0
Apache-2.0
Install Command
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
pip install -e .
Updated
1w ago
4mo ago
Open Source
Yes
Yes
Tags
Reinforcement Learning, Language Agents, LLM
Large Action Models, Function Calling, Agent Training
03
Features
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.
xLAM01Aggregates agent trajectories from distinct environments
02Standardizes and unifies trajectories into a consistent format
03Optimized generic data loader for agent training
04Maintains equilibrium across different data sources during training
05Supports efficient inference with Transformers and vLLM
04
Use Cases
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.
xLAM↳Function calling in LLMs
↳Training autonomous agents
↳Multi-turn conversation processing
05
Best For
rllmTrending
xLAM—
FAQ
FAQ
What is the difference between rllm and xLAM?
Both rllm and xLAM are in the LLM Infra category. rllm has 5.9k stars, while xLAM has 641 stars.
Which is better, rllm or xLAM?
The best choice depends on your use case. Choose rllm if Training powerful coding models for tasks like code generation and bug fixing., and xLAM if Function calling in LLMs.
Is rllm free or open source?
Yes, rllm is open source on GitHub (Apache-2.0).
Is xLAM free or open source?
Yes, xLAM is open source on GitHub (Apache-2.0).
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