Archestra is a platform for enterprise AI agent deployment and Model Context Protocol orchestration. It provides a centralized system for configuring specialized agents with specific system prompts and toolsets, and managing the deployment of Model Context Protocol servers that provide large language models with external tools and data sources.
The system features an AI agent gateway that exposes configured agents as networked services for external clients and integrated development environments. It incorporates a security suite that provides deterministic guardrails to prevent prompt injection and data exfiltration, alongside application sandboxing and network restrictions for protocol servers.
The platform includes a retrieval-augmented generation system with hybrid vector-text search for knowledge base management. It covers broader operational capabilities including role-based access control, enterprise identity integration, distributed telemetry export via OpenTelemetry, and operational cost management through budget limits.
The infrastructure is designed for self-hosting within private networks using Kubernetes, with deployment supported via Helm charts and Terraform providers.
