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Langroid

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an intuitive, lightweight, extensible and principled Python framework to easily build LLM-powered applications. ![GitHub Repo stars](https://img.shields.io/github/stars/langroid/langroid?style=social)

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)

About Langroid

Langroid is an intuitive, lightweight, extensible and principled Python framework for building LLM-powered applications, developed by researchers from CMU and UW-Madison. It uses a multi-agent paradigm where developers set up Agents with optional LLM, vector-store, and tools/functions, assign tasks, and have agents collaboratively solve problems by exchanging messages. It works with practically any LLM and does not depend on LangChain or other LLM frameworks. Langroid also supports MCP (Model Context Protocol) via a tool adapter and offers a Claude Code plugin for accelerated development. The framework has been adopted in production by companies like Nullify for secure software development, where it was praised for its ease of setup and flexibility.

Key Features

Multi-agent collaboration through task assignment and message exchange
Lightweight and extensible, no dependency on LangChain or other LLM frameworks
Works with practically any LLM
Optional components: LLM, vector-store, and tools/functions
MCP (Model Context Protocol) support via a tool adapter
Claude Code plugin available for accelerated development
Inspired by the Actor Framework

Pros & Cons

Pros
  • Intuitive and easy to set up, enabling rapid prototyping and production deployment
  • Lightweight with no dependency on other LLM frameworks
  • Highly extensible with plugins (MCP, Claude Code)
  • Works with practically any LLM
  • Multi-agent paradigm enables complex, collaborative task solving
Cons
  • Relatively new with a smaller community compared to frameworks like LangChain
  • Documentation is work-in-progress (WIP) in some areas
  • Requires understanding of agent-based programming concepts

Best For

Building multi-agent systems for complex problem-solvingSecure software development (finding, prioritizing, and fixing vulnerabilities)Automating workflows with collaborative AI agentsResearch and experimentation with LLM orchestration

FAQ

What is Langroid?
Langroid is a Python framework for building LLM-powered applications using a multi-agent paradigm. It allows developers to set up agents with optional LLM, vector-store, and tools, assign tasks, and have agents collaboratively solve problems by exchanging messages.
What makes Langroid different from LangChain?
Langroid is lightweight, does not use LangChain or any other LLM framework, and focuses on a multi-agent paradigm inspired by the Actor Framework. It prioritizes simplicity and extensibility.
Who is behind Langroid?
Langroid is developed by researchers from Carnegie Mellon University (CMU) and the University of Wisconsin-Madison.
Does Langroid support any LLM?
Yes, Langroid works with practically any LLM, including both cloud-based and local models.
Is there a Claude Code plugin for Langroid?
Yes, a Claude Code plugin is available to accelerate Langroid development with built-in patterns and best practices.