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LLMStack
Ajay Chintala and Vignesh Aigal
Open-source platform to build Artificial Intelligence Agents, workflows and applications with your data
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About LLMStack

LLMStack is an end-to-end platform designed for building Artificial Intelligence-powered applications using large language models (LLMs). It offers a no-code builder to create and deploy Artificial Intelligence apps without extensive coding, integrates multiple LLMs, and provides tools for data management and workflow automation. With LLMStack, users can manage Artificial Intelligence APIs, process data with vector stores, and build complex Artificial Intelligence workflows.

AI Categories
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Workflow Automation
AI agents that streamline repetitive processes.
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Virtual Assistant
AI agents built to handle diverse tasks.
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Data Integration Agents
AI systems dedicated to consolidating and managing data from multiple sources.
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AI Agent Platform
Integrated ecosystems for building, deploying, and managing AI agents.
Key Features
No-code builder
chain multiple LLMs
vector database
multi-tenant support
deploy on cloud/on-premise
API access.
Use Case
artificial-intelligence
No-Code AI Development
Simplify AI model creation for non-technical users with no-code platforms.
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Multi-Agent Systems
Coordinate multiple AI agents across tasks for efficiency.
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Data Integration
Facilitate real-time data integration with AI-powered workflows.
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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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No Code
AI integration with no-code platforms for rapid implementation.
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Google Drive
Integrate AI agents with Google Drive to automate collaborative workflows.
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