Langroid

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SKU: langroid
Langroid is an open-source Python framework designed to streamline the development of applications powered by Large Language Models (LLMs). It introduces a multi-agent programming paradigm, treating agents as first-class citizens to manage multiple LLM conversations, each responsible for different aspects of a task. This approach facilitates efficient collaboration through message exchange, enabling developers to build complex, intelligent applications with ease. Langroid supports integration with various LLMs, vector databases, and function-calling tools, offering a modular and extensible architecture for AI application development.
open-source Python framework multi-agent systems LLM integration AI development
Developing complex LLM-powered applications with a multi-agent framework.
Implementing collaborative AI agents for task automation.
Integrating various tools and vector databases into AI workflows.
Building chatbots and conversational agents with advanced capabilities.
Enhancing AI applications with retrieval-augmented generation and function-calling features.
Langroid agents exhibit high autonomy through their ability to manage conversation states, delegate tasks hierarchically, and collaborate via message transformation without human intervention. The framework supports long-term memory via vector stores (Qdrant/Chroma), enabling context-aware decision-making across sessions. Agents integrate tools/plugins and leverage LLMs (OpenAI or local models) for dynamic reasoning while maintaining loose coupling for modular workflows. The Task class enables recursive task delegation with round-robin execution patterns, allowing complex problem-solving through coordinated multi-agent systems. However, human input is still required for initial task definitions, role assignments, and oversight of critical decision boundaries.
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