125 lines
3.8 KiB
Markdown
125 lines
3.8 KiB
Markdown
# Mission Control Phase 10 - Voxyz Architecture Design Complete
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**Date:** February 22, 2026
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**Status:** ✅ Design Complete - Ready for Implementation
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**Design Document:** `/Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Mission-Control-Phase10-Design.md`
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---
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## What Was Designed
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### 1. Database Schema for 6-Agent System
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Created comprehensive SQL schema with 8 core tables:
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- `ops_mission_proposals` - Pending/accepted/rejected proposals
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- `ops_missions` - Mission state (approved/running/succeeded/failed)
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- `ops_mission_steps` - Execution steps (queued/running/succeeded/failed)
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- `ops_agent_events` - Event stream
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- `ops_policy` - Behavior configuration (JSON)
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- `ops_trigger_rules` - Trigger definitions
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- `ops_agent_reactions` - Reaction queue
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- `ops_action_runs` - Execution logs
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### 2. Proposal Service Architecture
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- Single entry point for ALL proposal creation
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- Cap gate validation (fail fast)
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- Auto-approval policy engine
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- Direct mission creation on approval
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- Event emission for audit trail
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### 3. Closed Loop System
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```
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Propose → Auto-approve → Mission → Execute → Event → Trigger → React
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```
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- **Vercel (Control Plane)**: Approval, triggers, reactions, cleanup
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- **OpenClaw VPS (Worker)**: Step execution
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- **Supabase (State)**: All data storage
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### 4. Cap Gates System
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- Reject at proposal entry (not queue buildup)
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- Daily mission limits
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- Daily task creation limits
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- Notification quotas
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- User-friendly rejection messages
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### 5. Reaction Matrix (30% Probability)
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- Default 30% reaction probability = "feels like a real team"
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- Event-matched reaction rules
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- Cooldown periods between reactions
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- Template-based proposal generation
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- Probability roll logging
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### 6. Implementation Plan
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- **Phase 10.1**: Foundation (database, core services)
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- **Phase 10.2**: Execution Engine (worker, step executors)
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- **Phase 10.3**: Triggers & Automation
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- **Phase 10.4**: Reaction Matrix
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- **Phase 10.5**: UI Integration
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---
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## Key Design Principles from Voxyz
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1. **Single Proposal Service**: No direct inserts — all proposals go through service
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2. **Fail Fast**: Cap gates check quotas BEFORE creating proposals
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3. **30% Probability**: Creates organic, human-like agent behavior
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4. **Self-Healing**: 30-min stale step detection
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5. **Policy-Driven**: All behavior in database (ops_policy), not hardcoded
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6. **Architecture Separation**: Vercel = control plane, VPS = execution
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---
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## Success Metrics
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| Metric | Target |
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|--------|--------|
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| Daily missions auto-generated | 3/day |
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| User approval rate | >80% |
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| Trigger accuracy | >70% |
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| Time saved vs. manual planning | 30 min/day |
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| System uptime (autonomous) | 99% |
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---
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## Next Steps (Implementation)
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1. Create Supabase migration file
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2. Implement ProposalService
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3. Set up OpenClaw VPS worker
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4. Build Mission Dashboard UI
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5. Test closed loop end-to-end
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---
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## File Location
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**Design Document:** `/Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Mission-Control-Phase10-Design.md`
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**Document Size:** 63KB, 1,870+ lines
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---
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## Phase 10 APPROVED ✅
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**Date:** February 22, 2026 (6:42 PM CST)
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**Approved by:** Matt
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**Design Status:** APPROVED
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**Task Status:** Updated to 'review' in Gantt Board
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**Ready for:** Implementation after Phase 9 completion
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### What Was Approved
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- Voxyz autonomous architecture for Mission Control
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- 8-table database schema
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- Proposal Service with Cap Gates
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- Closed loop system (Propose → Auto-approve → Mission → Execute → Event → Trigger → React)
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- Reaction Matrix (30% probability)
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- Self-healing (30-min stale detection)
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### Next Steps
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1. Complete Phase 9 (Polish)
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2. Create database tables (Phase 10A)
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3. Build Proposal Service (Phase 10B)
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4. Implement execution engine (Phase 10C)
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5. Add triggers/reactions (Phase 10D)
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**The autonomous future is approved and ready!** 🚀
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