Langroid

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Langroid is an AI Agents & Automation tool that provides a Python framework for building LLM-powered applications using multi-agent programming. It simplifies the developer experience for creating collaborative AI systems and automating complex tasks.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is langroid?

Langroid is an intuitive, lightweight, extensible, and principled Python framework designed to easily build LLM-powered applications, developed by researchers from CMU and UW-Madison. It enables developers to set up agents, equip them with LLMs, vector stores, and tools/functions, assign tasks, and have them collaboratively solve problems by exchanging messages. This multi-agent paradigm simplifies the developer experience, offering a fresh approach to LLM app-development without relying on Langchain or other LLM frameworks, and is compatible with virtually any LLM. Langroid is being used and adapted in production by companies like Nullify for secure software development, highlighting its ease of setup and flexibility compared to alternatives.

Best used for

Ideal for developers and data scientists who need to build robust LLM-powered applications, orchestrate complex multi-agent workflows, and integrate various LLMs and tools. Especially valuable for creating collaborative AI systems for tasks like secure software development or advanced RAG.

Common actions

build AI agents

orchestrate LLM tasks

automate workflows

integrate LLMs

develop multi-agent systems

low-code/no-codeautomated workflowworkflowsdeepfakecollaborationopen-sourceface swappinggithub copilot"AI Agents"

Capabilities

Key features

Multi-agent programming framework
LLM integration
Vector-store support
Tool/function calling
Structured information extraction
Multimodal input support
Task orchestration

Target Audience

developerdata scientiststartup founder

Integrations

chainlitclaudeopenaiportkey-ailitellmexafirecrawlmarker+ 13 more

Pricing & Plans

Open Source

Free

FAQs

What makes Langroid different from other LLM frameworks like Langchain?

Langroid offers a fresh take on LLM app-development, focusing on a multi-agent paradigm inspired by the Actor Framework. It does not use Langchain or other LLM frameworks, providing a simplified developer experience and working with practically any LLM, as highlighted by users like Nullify.

Can Langroid be used with local LLMs or only cloud-based models?

Langroid is designed to work with practically any LLM, including non-OpenAI local/remote LLMs. Examples show usage with local LLMs like Mistral-7b-instruct-v0.2 for structured information extraction, demonstrating its flexibility beyond cloud-based services.

Does Langroid support multimodal inputs like PDFs and images?

Yes, Langroid supports multimodal inputs, allowing for PDF and image inputs to LLMs. It includes features like LLMPdfParser and GeminiPdfParser for parsing documents directly with LLMs, enhancing its capability for diverse data types.

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AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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