AgentOps Mission Control
February 8, 2026 ยท View on GitHub
๐ 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]
๐ฏ 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
๐๏ธ Architecture
src/
โโโ domain/ # Entities & Value Objects (Agent, SearchCriteria)
โโโ ports/ # Interface definitions (AgentRepository)
โโโ application/ # Use cases (SearchAgents)
โโโ infrastructure/ # External clients (CapabilityBrokerClient, TrustVerifierClient)
โโโ components/ # React components (FleetGrid, AgentCard, SearchBar)
โโโ app/ # Next.js App Router pages
๐ Quick Start
npm install
npm run dev
๐งช Testing
# Unit tests
npm run test
# E2E tests
npm run test:e2e
๐ก API Endpoints
GET /api/docs- Swagger UIGET /api/openapi.json- OpenAPI spec
๐ Connected Services
| Service | URL | Purpose |
|---|---|---|
| Capability Broker | studio-service-directory-production.up.railway.app | Agent discovery |
| Trust Verifier | agent-trust-verifier-production.up.railway.app | Trust scores |
| ConvoGuard | convo-guard-ai-production.up.railway.app | Compliance demo |
๐ License
MIT - Berlin AI Labs