Enterprise AI Platform
3.6k 2026-04-26
archestra-ai/archestra
A secure enterprise AI platform providing guardrails, a centralized MCP registry, gateway, and orchestration for managing AI usage, costs, and data security.
Core Features
Centralized MCP Registry with Governance: Manage and share self-hosted, remote, self-built, and third-party AI models/components.
Kubernetes-native MCP Orchestrator: Deploy and manage AI servers, API keys, and OAuth within Kubernetes.
Robust AI Security Guardrails: Prevent data exfiltration and prompt injections using non-probabilistic methods and security sub-agents.
AI Observability & Cost Management: Gain full visibility into AI adoption, usage, data access, and reduce operational costs.
ChatGPT-like Chat Interface: Offer a user-friendly chat experience with private company-wide prompt registry.
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-grade AI platform designed to bring control, security, and efficiency to AI adoption within organizations. It addresses critical challenges like AI chaos, data exfiltration risks, and uncontrolled costs by offering a centralized management system for AI models (MCPs). The platform provides robust security guardrails, a Kubernetes-native orchestrator, and comprehensive observability tools, enabling businesses to deploy AI safely, manage access, and optimize expenditures while empowering both technical and non-technical users with secure AI capabilities.