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LMForge End To End LLMOps Platform For Multi Model Agents

AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.

LMForge End To End LLMOps Platform For Multi Model Agents

AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.

Author Avatar Theme by haohao-end
Github Stars Github Stars: 486
Last Commit Last Commit: Dec 30, 2025 -
First Commit Created: Jan 17, 2026 -
LMForge End To End LLMOps Platform For Multi Model Agents screenshot

Overview

The LLMOps platform is an innovative solution designed for managing large language model operations, catering to various AI agents and workflows efficiently. With its robust architecture and seamless integration features, it allows users to deploy and manage multi-model agents effortlessly. Whether you’re an AI developer or a business looking to harness the power of language models, LLMOps provides the tools you need to streamline your operations.

Features

  • Easy Deployment: Quick one-command setup for seamless deployment using Docker and Docker Compose, ensuring that even users with limited technical expertise can get started effortlessly.
  • Web UI Accessibility: Access your operations through a user-friendly web interface hosted locally, making it easy to monitor and manage different agents.
  • API Gateway: Utilize a dedicated API gateway that simplifies the integration and interaction with various services, enhancing flexibility and scalability.
  • Detailed Documentation: Comprehensive project documentation and API guides designed to assist users at every stage, from installation to advanced configuration.
  • Security Best Practices: Comes with built-in security features like CSRF protection and guidelines for changing default passwords to ensure safe operations in a production environment.
  • Customizability: Flexible configuration options allow users to set up multi-provider environments tailored to their specific operational needs.
  • Robust Architecture: Built with a strong focus on persistence and reliability, ensuring your data remains safe and accessible across operations.