AgentOps Mission Control

February 8, 2026 ยท View on GitHub

๐Ÿ›‘ ARCHITECTURAL ANCHOR

This project is part of the Berlin AI Automation Studio. It is governed by the global rules in berlin-ai-infra.


AgentOps Mission Control

Enterprise Discovery Platform for pre-vetted, regulatory-compliant AI agents.

Live Demo: [TBD after Railway deploy]

๐ŸŽฏ What This Is

A unified "Mission Control" portal showcasing the Berlin AI Labs Agent Ops Suite:

  • Vendor Neutral - One policy for OpenAI, Anthropic, Azure, and local models
  • Privacy-Preserving Audit - ZK-proofs verify correctness without storing data
  • Runtime Enforcement - Block violations before they reach users

๐Ÿ—๏ธ Architecture

src/
โ”œโ”€โ”€ domain/           # Entities & Value Objects (Agent, SearchCriteria)
โ”œโ”€โ”€ ports/            # Interface definitions (AgentRepository)
โ”œโ”€โ”€ application/      # Use cases (SearchAgents)
โ”œโ”€โ”€ infrastructure/   # External clients (CapabilityBrokerClient, TrustVerifierClient)
โ”œโ”€โ”€ components/       # React components (FleetGrid, AgentCard, SearchBar)
โ””โ”€โ”€ app/              # Next.js App Router pages

๐Ÿš€ Quick Start

npm install
npm run dev

Open http://localhost:3000

๐Ÿงช Testing

# Unit tests
npm run test

# E2E tests
npm run test:e2e

๐Ÿ“ก API Endpoints

  • GET /api/docs - Swagger UI
  • GET /api/openapi.json - OpenAPI spec

๐Ÿ”— Connected Services

ServiceURLPurpose
Capability Brokerstudio-service-directory-production.up.railway.appAgent discovery
Trust Verifieragent-trust-verifier-production.up.railway.appTrust scores
ConvoGuardconvo-guard-ai-production.up.railway.appCompliance demo

๐Ÿ“œ License

MIT - Berlin AI Labs