3.8 KiB
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 proposalsops_missions- Mission state (approved/running/succeeded/failed)ops_mission_steps- Execution steps (queued/running/succeeded/failed)ops_agent_events- Event streamops_policy- Behavior configuration (JSON)ops_trigger_rules- Trigger definitionsops_agent_reactions- Reaction queueops_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
- Single Proposal Service: No direct inserts — all proposals go through service
- Fail Fast: Cap gates check quotas BEFORE creating proposals
- 30% Probability: Creates organic, human-like agent behavior
- Self-Healing: 30-min stale step detection
- Policy-Driven: All behavior in database (ops_policy), not hardcoded
- 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)
- Create Supabase migration file
- Implement ProposalService
- Set up OpenClaw VPS worker
- Build Mission Dashboard UI
- 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
- Complete Phase 9 (Polish)
- Create database tables (Phase 10A)
- Build Proposal Service (Phase 10B)
- Implement execution engine (Phase 10C)
- Add triggers/reactions (Phase 10D)
The autonomous future is approved and ready! 🚀