Langroid
Harness LLMs using a principled multi-agent programming paradigm to build complex, robust, and explainable AI applications.
At a Glance
- Enterprise Software
- Healthcare/Pharmaceuticals
- Academic Research
- AI Infrastructure
AI Tools by Langroid
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Langroid
Python Multi Agent LLM Framework
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Latest News
Introducing an AI-powered debate platform leveraging Langroid multi-agent programming.
MALADE: The first effective explainable multi-agent LLM system for Pharmacovigilance.
Langroid: Knowledge Graph RAG powered by Neo4j.
Langroid reaches 2,000 stars on GitHub.
Products & Services
A multi-agent programming framework for building LLM applications where agents are first-class citizens.
A specialized multi-agent system for explainable extraction of Adverse Drug Events (pharmacovigilance).
An AI-powered platform leveraging diverse LLMs and multi-agent coordination for educational debates.
Market Position
Langroid differentiates itself from frameworks like LangChain by offering a cleaner, more principled multi-agent abstraction where tasks are explicitly coordinated rather than just 'chained' together.
Leadership
Founders
Prasad Chalasani
IIT BTech/CS, CMU PhD/ML. Former independent ML consultant, former ML lead at Medallia. Expert in multi-agent systems and LLMs.
Somesh Jha
IIT BTech/CS, CMU PhD/CS. Professor of Computer Science at University of Wisconsin-Madison. Expert in security and formal methods.
Executive Team
Prasad Chalasani
Co-Founder
Expert in multi-agent systems and ML, former Medallia lead.
Somesh Jha
Co-Founder
Professor at UW-Madison, security and formal methods expert.
Board of Directors
Founding Story
Started in early 2023 by Prasad Chalasani and Somesh Jha to address the limitations of existing LLM tools by making 'Agents' first-class citizens in a principled, task-oriented programming framework.
Business Model
Revenue Model
Open-source framework with enterprise consulting and specialized system development (e.g., MALADE for pharmaceutical sector).
Pricing Tiers
Full access to the framework on GitHub.
Custom implementations and support for enterprise LLM apps.
Target Markets
- Enterprise Software
- Healthcare/Pharmaceuticals
- Academic Research
- AI Infrastructure
- Complex multi-step RAG workflows
- Explainable AI for healthcare (pharmacovigilance)
- Collaborative multi-agent debate and education
- Tool-calling and structured data interaction
- Enterprise-grade LLM applications with high observability
- Tepper School of Business
- Pharmaceutical researchers