Awesome GitHub RepositoriesMulti-Tenant Agent Hosting

AgentScope is a multi-agent framework and orchestration platform designed for building and coordinating teams of language model agents. It provides a system for managing multiple agents that collaborate to solve complex tasks through structured communication and state sharing. The project distinguishes itself with a focus on production-ready deployment and security, featuring a multi-tenant hosting service that ensures session isolation between different users. It includes a sandboxed tool execution environment and fine-grained permission controls to manage how agents access system resources

mcp-use is a development framework designed for building, deploying, and managing servers, clients, and autonomous agents using the Model Context Protocol. It provides a comprehensive toolkit for creating servers that expose custom tools, data resources, and prompts to compatible AI agents. The project distinguishes itself by offering a complete lifecycle for protocol-based applications, including a dedicated hosting platform for production servers and a compliance validator to ensure servers meet marketplace publishing requirements. It also features an observability suite for tracing protoco

This project is a software development kit and framework for building AI agent orchestration, session management, and tool integration systems. It provides a backend infrastructure for hosting remote AI sessions and coordinating multi-agent workflows using large language models. The SDK enables the definition of specialized agents and the orchestration of complex tasks through parallel workstreams. It distinguishes itself by offering a multi-tenant backend capable of horizontal scaling and a headless server runtime that separates session execution from the client interface. The system covers

TaskingAI es un orquestador de agentes de IA y plataforma de aplicaciones utilizada para construir, desplegar y escalar aplicaciones nativas de IA. Funciona como un backend multi-inquilino como servicio (BaaS), proporcionando la infraestructura para alojar y gestionar instancias de agentes de IA independientes a través de múltiples usuarios u organizaciones en una arquitectura compartida. La plataforma cuenta con un constructor de flujos de trabajo visual y una consola de gestión de proyectos, permitiendo a los usuarios configurar la lógica del agente y probar flujos de trabajo de conversación a través de una interfaz gráfica antes de moverlos a un entorno de producción. El sistema orquesta modelos de lenguaje grandes estandarizando las interacciones a través de proveedores en la nube y locales mediante una interfaz unificada. Admite la generación aumentada por recuperación (RAG) integrando fuentes de datos externas y plugins de búsqueda en los flujos de trabajo del modelo. Las capacidades adicionales incluyen gestión de sesiones con estado para rastrear el historial de conversaciones y una arquitectura basada en plugins para extender las herramientas del agente.