Eclipse LMOS

Eclipse LMOS is an open-source platform designed for building, deploying, and managing AI agents at enterprise scale. It provides a comprehensive framework that enables organizations to create intelligent agents capable of handling complex tasks while maintaining production-grade reliability and scalability. The platform is built on Kotlin and leverages modern cloud-native technologies to deliver a robust foundation for AI agent development.

Key Features:

• Agent Development Framework - Provides a structured approach to building AI agents with support for multiple LLM providers, enabling developers to create sophisticated conversational and task-oriented agents with minimal boilerplate code.

• Multi-Agent Orchestration - Supports coordination between multiple agents, allowing complex workflows where specialized agents collaborate to solve problems that require diverse capabilities.

• Channel Integration - Offers built-in support for various communication channels, making it easy to deploy agents across different platforms and interfaces.

• Kubernetes-Native Deployment - Designed for cloud-native environments with first-class Kubernetes support, enabling seamless scaling and management of agent deployments.

• Observability and Monitoring - Includes comprehensive logging, tracing, and metrics capabilities to monitor agent performance and behavior in production environments.

• Extensible Architecture - Features a modular design that allows developers to extend functionality through custom components, tools, and integrations.

• Enterprise Security - Implements security best practices with support for authentication, authorization, and secure communication between components.

Getting Started:

To begin using Eclipse LMOS, clone the repository from GitHub and follow the quickstart guide in the documentation. The platform requires Kotlin and a Kubernetes environment for full functionality. Developers can start by creating a simple agent using the provided templates and gradually add more sophisticated capabilities as needed. The documentation includes examples for common use cases and integration patterns.