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Langroid
ex-CMU/UW-Madison researchers
Multi-agent programming framework for LLM applications.
Open Source

(5.0) 0 reviews

Open Source
About Langroid

Langroid is an open-source Python framework designed to simplify LLM application development using a multi-agent programming paradigm. It treats agents as first-class citizens, allowing developers to configure agents with capabilities like LLMs, vector databases, and function-calling/tools. Langroid enables collaborative problem-solving through message exchange between agents, offering a “conversational programming” approach that works with both local/open and remote/proprietary LLMs.

AI Categories
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Workflow Automation
AI agents that streamline repetitive processes.
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AI Framework
Essential structures and tools that support the creation and deployment of AI models.
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AI Agent Platform
Integrated ecosystems for building, deploying, and managing AI agents.
Key Features
Agent-Centric Architecture
Task Delegation
LLM Integration
Vector Store Support
Function Calling/Tools
Caching
Observability And Logging.
Use Case
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Multi-Agent Systems
Coordinate multiple AI agents across tasks for efficiency.
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Code Generation
Automate the generation of source code and software solutions.
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AI-Powered Workflows
Automate workflows to optimize processes like task management and reporting.
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Integration Methods
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Webhooks
Customizable webhooks for real-time communication between applications.
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Web Application
AI agents integrated with web applications for advanced features and better UX.
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Python SDK
AI development tools as a Python SDK for streamlined implementation.
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GitHub Integration
Direct GitHub integration to enhance workflows and version control.
API
API
Facilitate smooth data exchange and functionality via APIs.
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