LLM + Agentic RunsOptimization / Quantum-readyOpenAI-compatible GatewaySupabase-first

Operate AI like a mission— with outcomes, telemetry, and control.

Mission Control is a distinctive operator console that unifies conversational AI, agentic execution, and optimization workflows. Capture durable outcomes (plans, decisions, reports), trace every tool call, and keep governance visible—without sacrificing speed.

Plans & Reports
Outcome-first UX
Runs & Tools
Traceability
OpenAI APIs
Interop
Mission Canvas
Live telemetry · outcomes · vault
Objective
Reduce incident response time by 30% this quarter.
Latest Outcome
Playbook v1: triage, containment, comms, recovery.
PinnedAuditedExportable
Run
3 steps · 1 tool call
Optimize
Knapsack · +18% score
What you get

Distinct primitives for real operations

This is not a chat clone. Missions, outcomes, telemetry, and governance are first-class—so teams can build, review, and ship work with confidence.

Outcome-first timeline

Convert conversations into durable artifacts: plans, decisions, reports, exports—pin and reuse them across missions.

Agent runs with traceability

Every step is logged: planning, retrieval, tool calls, and final response—visible in the Telemetry panel.

Knowledge Vault

Ingest runbooks and policies. Validate retrieval before execution with semantic search backed by pgvector.

Optimization Lab

Run tradeoff solvers (knapsack today; scheduling/assignment next). Persist results as pinned outcomes.

OpenAI-compatible gateway

Drop-in interoperability for clients: /v1/models, /v1/chat/completions, embeddings, and streaming SSE.

Multi-tenant by design

Organizations, workstreams, and missions with Supabase RLS and server-enforced org context across API calls.

How it works

A clean execution loop

Dispatch in three modes—Direct, Run, Optimize. Each mode persists state, captures outcomes, and remains inspectable via telemetry.

  1. 1
    Define a Mission objective

    Frame the outcome and constraints, not just the prompt.

  2. 2
    Attach knowledge and policies

    Ingest docs into the Vault. Semantic retrieval is visible and testable.

  3. 3
    Run with telemetry

    Agents execute steps and tool calls—traceable, auditable, exportable.

  4. 4
    Ship outcomes

    Plans, decisions, and reports become pinned artifacts reusable across missions.

Security & governance

Enterprise-ready foundations

Built around Supabase Row Level Security and explicit org context enforcement. Audit logs and tool traces are first-class, so you can answer “what happened” without guesswork.

  • RLS across org data, missions, outcomes, and vault content
  • Server-enforced org context via headers + membership validation
  • Audit logs + run traces persisted for review and export
  • Vercel-safe streaming (SSE heartbeats) for stable realtime UX
Deployment-ready

Deploy the web and gateway as separate Vercel projects. Supabase provides auth, Postgres, and pgvector.

Web
Next.js · TypeScript · Tailwind
Env: NEXT_PUBLIC_SUPABASE_*, NEXT_PUBLIC_GATEWAY_URL
Gateway
Fastify · OpenAI-compatible · SSE
Env: SUPABASE_*, OPENAI_API_KEY (optional)
Ready to build with outcomes?
Launch Mission Control

Authenticate with Supabase (Google, GitHub, email/password, or magic link), then create your first org, mission, and demo timeline in minutes.

© 2026 UmamiMind. Mission Control.