archestra vs janee
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; janee: Janee is an MCP server designed to manage API secrets for AI agents, preventing them from directly accessing sensitive keys. It enforces policies, logs all requests, and provides fine-grained access control to ensure secure and auditable API interactions for autonomous agents.
TL;DR
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
Securely provide API access to AI agents without exposing raw keys, enhancing security and preventing misuse.
Side-by-Side Comparison
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