llmcore logo
llmcore
★ 50
vs
rllm logo
rllm
★ 5.9k

llmcore vs rllm

llmcore: LLMCore is a Qt/C++ library that provides a unified streaming API for multiple LLM providers (Claude, OpenAI, Ollama, Google AI, llama.cpp) and implements client and server for the MCP 2025-11-25 specification. It supports streaming chat, tool calling, and MCP transports like stdio and HTTP.; 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

llmcore logo
llmcoreLLM Infra · ★ 50

Build custom LLM chat applications

rllm logo
rllmLLM Infra · ★ 5.9k

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

02

Side-by-Side Comparison

Field
llmcore logollmcore
rllm logorllm
Category
LLM Infra
LLM Infra
Stars
★ 50
★ 5.9k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/Palm1r/llmcore.git
uv pip install "rllm[verl] @ git+https://github.com/rllm-org/rllm.git"
Updated
1w ago
1w ago
Open Source
Yes
Yes
Tags
claude, google, mcp
Reinforcement Learning, Language Agents, LLM
03

Features

llmcore logollmcore
01Unified streaming API for six LLM providers
02Full MCP client and server implementation (2025-11-25)
03Streaming chat and tool calling
04MCP transports: stdio and Streamable HTTP
05Support for tools, resources, prompts, and more in MCP
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

llmcore logollmcore
↳Build custom LLM chat applications
↳Integrate MCP tools into LLM clients
↳Expose tools and resources via MCP protocol
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

llmcore logollmcore
—
rllm logorllm
Trending
FAQ

FAQ

What is the difference between llmcore and rllm?
Both llmcore and rllm are in the LLM Infra category. llmcore has 50 stars, while rllm has 5.9k stars.
Which is better, llmcore or rllm?
The best choice depends on your use case. Choose llmcore if Build custom LLM chat applications, and rllm if Training powerful coding models for tasks like code generation and bug fixing..
Is llmcore free or open source?
Yes, llmcore 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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