Archestra | Enterprise MCP Platform for AI Agents

# Archestra > Archestra is an open-source, enterprise-grade platform for safely running AI agents at scale. Built by the team behind Grafana OnCall and Keep (both acquired), it provides deterministic security guardrails, Kubernetes-native orchestration, cost controls, and observability — letting enterprises deploy autonomous agents in production without exposing themselves to prompt injection, data exfiltration, or runaway spend. ## What Archestra is Archestra is the AI infrastructure layer that sits between your agents and the rest of your enterprise. Every agent action — every LLM call, every tool invocation, every external request — passes through Archestra's runtime, where deterministic policies decide what is and isn't allowed. This is fundamentally different from prompt-based safety: rules are enforced at the gateway, not requested from the model. The platform is fully open source under a permissive license, designed to be self-hosted in your own VPC or Kubernetes cluster. Nothing ships back to Archestra's servers. Customers retain full control over data, secrets, model providers, and audit logs. ## Why it exists Enterprises want to deploy AI agents but cannot accept the security posture that comes with current frameworks. The "Lethal Trifecta" — a term coined by Simon Willison and covered by The Economist — describes the failure mode: an agent that has (1) access to private data, (2) processes untrusted content, and (3) can communicate externally is one prompt injection away from exfiltrating sensitive information. ChatGPT, Google Bard, GitHub Copilot, Microsoft Copilot, and Slack AI have all shipped instances of this class of vulnerability. Archestra's thesis is that this cannot be solved by training better models. It requires a deterministic runtime — a gateway that enforces guardrails regardless of what the model is asked to do. ## Who builds it Archestra was founded in 2024 by: - **Matvey Kukuy** (CEO) — third-time founder. Previou