lm logo
lm
★ 121
vs
rllm logo
rllm
★ 5.9k

lm vs rllm

lm: Houtini LM connects Claude Code to a local LLM, offloading bounded tasks like boilerplate generation, code review, and commit messages to a free, private local model, while Claude handles complex reasoning. It tracks token savings and supports various local LLM backends.; 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

lm logo
lmLLM Infra · ★ 121

Generate boilerplate, test stubs, and documentation

rllm logo
rllmLLM Infra · ★ 5.9k

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

02

Side-by-Side Comparison

Field
lm logolm
rllm logorllm
Category
LLM Infra
LLM Infra
Stars
★ 121
★ 5.9k
License
MIT
Apache-2.0
Install Command
npx -y @houtini/lm
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
1w ago
1w ago
Open Source
Yes
Yes
Tags
ai-agents, claude-mcp, code-generation
Reinforcement Learning, Language Agents, LLM
03

Features

lm logolm
01Offload bounded tasks to a local LLM via Claude Code
02Token tracking with session footer for cost visibility
03Compatible with multiple local LLM backends (LM Studio, Ollama, vLLM, etc.)
04Streaming responses with 55-second soft timeout to avoid client-side timeouts
05Multiple specialized tools (chat, custom_prompt, code_task, discover, list_models)
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

lm logolm
↳Generate boilerplate, test stubs, and documentation
↳Perform code review, explanation, and format conversion
↳Draft commit messages and brainstorm approaches
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

lm logolm
—
rllm logorllm
Trending
FAQ

FAQ

What is the difference between lm and rllm?
Both lm and rllm are in the LLM Infra category. lm has 121 stars, while rllm has 5.9k stars.
Which is better, lm or rllm?
The best choice depends on your use case. Choose lm if Generate boilerplate, test stubs, and documentation, and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is lm free or open source?
Yes, lm 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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