test-repo/memory/2026-02-22.md

3.8 KiB

Mission Control Phase 10 - Voxyz Architecture Design Complete

Date: February 22, 2026
Status: Design Complete - Ready for Implementation
Design Document: /Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Mission-Control-Phase10-Design.md


What Was Designed

1. Database Schema for 6-Agent System

Created comprehensive SQL schema with 8 core tables:

  • ops_mission_proposals - Pending/accepted/rejected proposals
  • ops_missions - Mission state (approved/running/succeeded/failed)
  • ops_mission_steps - Execution steps (queued/running/succeeded/failed)
  • ops_agent_events - Event stream
  • ops_policy - Behavior configuration (JSON)
  • ops_trigger_rules - Trigger definitions
  • ops_agent_reactions - Reaction queue
  • ops_action_runs - Execution logs

2. Proposal Service Architecture

  • Single entry point for ALL proposal creation
  • Cap gate validation (fail fast)
  • Auto-approval policy engine
  • Direct mission creation on approval
  • Event emission for audit trail

3. Closed Loop System

Propose → Auto-approve → Mission → Execute → Event → Trigger → React
  • Vercel (Control Plane): Approval, triggers, reactions, cleanup
  • OpenClaw VPS (Worker): Step execution
  • Supabase (State): All data storage

4. Cap Gates System

  • Reject at proposal entry (not queue buildup)
  • Daily mission limits
  • Daily task creation limits
  • Notification quotas
  • User-friendly rejection messages

5. Reaction Matrix (30% Probability)

  • Default 30% reaction probability = "feels like a real team"
  • Event-matched reaction rules
  • Cooldown periods between reactions
  • Template-based proposal generation
  • Probability roll logging

6. Implementation Plan

  • Phase 10.1: Foundation (database, core services)
  • Phase 10.2: Execution Engine (worker, step executors)
  • Phase 10.3: Triggers & Automation
  • Phase 10.4: Reaction Matrix
  • Phase 10.5: UI Integration

Key Design Principles from Voxyz

  1. Single Proposal Service: No direct inserts — all proposals go through service
  2. Fail Fast: Cap gates check quotas BEFORE creating proposals
  3. 30% Probability: Creates organic, human-like agent behavior
  4. Self-Healing: 30-min stale step detection
  5. Policy-Driven: All behavior in database (ops_policy), not hardcoded
  6. Architecture Separation: Vercel = control plane, VPS = execution

Success Metrics

Metric Target
Daily missions auto-generated 3/day
User approval rate >80%
Trigger accuracy >70%
Time saved vs. manual planning 30 min/day
System uptime (autonomous) 99%

Next Steps (Implementation)

  1. Create Supabase migration file
  2. Implement ProposalService
  3. Set up OpenClaw VPS worker
  4. Build Mission Dashboard UI
  5. Test closed loop end-to-end

File Location

Design Document: /Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Mission-Control-Phase10-Design.md

Document Size: 63KB, 1,870+ lines


Phase 10 APPROVED

Date: February 22, 2026 (6:42 PM CST)
Approved by: Matt

Design Status: APPROVED
Task Status: Updated to 'review' in Gantt Board
Ready for: Implementation after Phase 9 completion

What Was Approved

  • Voxyz autonomous architecture for Mission Control
  • 8-table database schema
  • Proposal Service with Cap Gates
  • Closed loop system (Propose → Auto-approve → Mission → Execute → Event → Trigger → React)
  • Reaction Matrix (30% probability)
  • Self-healing (30-min stale detection)

Next Steps

  1. Complete Phase 9 (Polish)
  2. Create database tables (Phase 10A)
  3. Build Proposal Service (Phase 10B)
  4. Implement execution engine (Phase 10C)
  5. Add triggers/reactions (Phase 10D)

The autonomous future is approved and ready! 🚀