Cognitive / Agent Operating System
JARVIS - Personal AI Operating System
Solo-built personal AI operating system with a Fastify orchestration backend and a Next.js HUD interface. Handles provider routing, missions/councils/executions, approvals, workspaces, memory, watchers, and dogfood-tested operational widgets.
- Role
- Solo builder · architecture, implementation, and operational tooling
- Period
- 2026.02 - Present
- Context
- Personal Project
Solo-built personal AI operating system with a Fastify orchestration backend and a Next.js HUD interface. Handles provider routing, missions/councils/executions, approvals, workspaces, memory, watchers, and dogfood-tested operational widgets.
What made the system difficult.
Needed a single product surface that can route ambiguous user requests into research, code, approval, and automation flows while keeping role gates, streaming state, provider fallback, and workspace execution understandable and operable.
How boundaries and flows answered it.
Implemented a Fastify backend with typed route modules, auth/role enforcement, rate limits, SSE streams, provider registry/policies, missions/councils/executions, and workspace PTY endpoints. Built a modular Next.js HUD with a visual core, widget routing, OpenAPI-synced client types, and Playwright-backed dogfood coverage.
The path of responsibility through the system.
Orchestrator Backend
API & Workflow Core
Responsibilities
- — Missions/councils/executions routes
- — Provider routing and policies
- — Role-gated approvals and workspaces
HUD Frontend
Operator Interface
Responsibilities
- — Visual core + modular widgets
- — Workspace and approval surfaces
- — Mission-focused navigation
Quality Loop
Verification & Dogfood
Responsibilities
- — OpenAPI-generated client types
- — E2E smoke coverage
- — Dogfood reports with screenshot evidence
Overview
- Solo-built personal AI operating system that combines an orchestration backend with a HUD-style operator interface.
- The system is organized around task routing, approval gates, provider control, workspace execution, and evidence-oriented UI modules.
Backend Surface
Orchestration API
- Fastify route modules for auth, providers, assistant contexts, missions, councils, executions, workspaces, memory, approvals, reports, radar, upgrades, and Jarvis session flows
- Role-gated auth/session handling, rate limiting, raw-body parsing, and error normalization
- SSE/event endpoints for mission, council, execution, assistant, dashboard, and notification updates
Runtime & Policy Controls
- Provider routing policies, credential resolution, registry refresh, and token/health workers
- Workspace runtime endpoints for PTY spawn/write/read and shutdown
- Approval-gated high-risk actions with notification delivery channels
Frontend Surface
HUD Interface
- Next.js app with a modular widget shell (Inbox, Assistant, Council, Workbench, Tasks, Reports, Watchers, Dossier, Notifications, Skills, Approvals, Memory, Settings, Model Control, Ideation)
- Visual core page with deterministic engine controls and scene switching
- Deep-linkable workspace routes for core, studio, mission, tasks, approvals, automations, settings, and reports
Typed Client Integration
- OpenAPI-generated frontend types synced from the backend contract
- Client endpoint layer for typed requests/responses across widgets and workflows
Quality Loop
- Playwright smoke coverage for core visibility, HUD intake autoplay, council traces, session restore, and auth/settings flows
- Dogfood reports with screenshot evidence and issue validation artifacts stored inside the repository
- Public GitHub repository available for direct review of code and verification assets