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archestra-ai/archestra

A secure, enterprise-grade AI platform providing guardrails, a private model registry, and orchestration for managing AI usage, costs, and data security.

Core Features

Secure AI platform with non-probabilistic guardrails to prevent data exfiltration and prompt injections.

Private MCP (Model, Connector, Prompt) registry with governance for sharing and managing AI models.

Kubernetes-native orchestrator for deploying and managing AI servers (MCPs) with API key and OAuth control.

ChatGPT-like chat interface with a company-wide private prompt registry for user-friendly AI adoption.

AI observability and cost management tools for full visibility and control over AI usage.

Quick Start

docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000   -e ARCHESTRA_QUICKSTART=true   -v /var/run/docker.sock:/var/run/docker.sock   -v archestra-postgres-data:/var/lib/postgresql/data   -v archestra-app-data:/app/data   archestra/platform;

Detailed Introduction

Archestra is an enterprise AI platform designed to bring order and security to AI adoption within organizations. It addresses critical challenges such as mitigating 'MCP chaos' by centralizing AI server management, preventing data exfiltration through robust security guardrails, and managing AI costs. The platform offers a private registry for sharing and governing AI models, a Kubernetes-native orchestrator for scalable deployment, and a user-friendly chat interface. It empowers platform teams, developers, and management with tools for secure, observable, and cost-effective AI integration.