271 lines
9.4 KiB
Markdown
271 lines
9.4 KiB
Markdown
# Memory Log - 2026-02-22
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## Morning
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### Task: Implement Ramya's OpenClaw Memory Optimizations
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**Requested by:** System (cron-initiated subagent)
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**Source:** Mission Control task f401df02-c072-41b9-b28c-8b71b66da860
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**Research:**
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- Fetched research document from Supabase
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- Document: "I Spent 5 Days Debugging My OpenClaw Agent's Memory"
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- Author: Ramya Chinnadurai (@code_rams)
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- Key insight: Memory issues = discipline in writing, not just reading
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**Decisions:**
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1. Create BRAIN.md for external memory (not just MEMORY.md)
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2. Add mandatory write discipline to AGENTS.md
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3. Optimize HEARTBEAT.md for <3s checks with state tracking
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4. Document skills audit for future consolidation
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5. Add orchestrator pattern to SOUL.md
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**Implemented:**
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- ✅ BRAIN.md - structured external memory with projects, patterns, gotchas
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- ✅ memory/LEARNINGS.md - mistake log template
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- ✅ Updated AGENTS.md - write discipline rules, BRAIN.md in boot sequence
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- ✅ Updated SOUL.md - orchestrator pattern (conductor mindset)
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- ✅ Rewrote HEARTBEAT.md - rotating checks, state tracking, <3s target
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- ✅ Updated SESSION_STARTUP.md - BRAIN.md step added
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- ✅ memory/heartbeat-state.json - initial state file
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- ✅ memory/SKILLS_AUDIT.md - 58 skills documented, optimization roadmap
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- ✅ OPTIMIZATION_SUMMARY.md - full implementation documentation
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**Key Lesson:**
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Most memory issues aren't about adding more files—they're about discipline in what gets written, when, and how retrieval works. The real fix wasn't adding more files, it was removing the ones that weren't doing anything and enforcing write discipline.
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**Impact:**
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- Estimated 60-70% token savings possible from skills optimization
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- <3s heartbeat checks with state tracking
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- Knowledge now persists across sessions via mandatory write discipline
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---
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## Evening
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### Task: Complete Ramya's OpenClaw Memory Optimizations
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**Completed by:** Subagent session
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**Task ID:** f401df02-c072-41b9-b28c-8b71b66da860
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**Immediate Actions from Ramya's Research:**
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1. ✅ Ran `/context detail` - token usage checked
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2. ✅ Deleted BOOTSTRAP.md - birth certificate no longer needed
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3. ✅ Verified AGENTS.md boot sequence at TOP - restructured entire file
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4. ✅ Created learnings/LEARNINGS.md - 36 rules from mistakes
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5. ✅ Updated SESSION_STARTUP.md - added learnings to boot sequence
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**Files Modified:**
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- AGENTS.md - Full restructure, boot sequence moved to top (line 3)
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- SESSION_STARTUP.md - Added learnings/LEARNINGS.md to Step 4
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- learnings/LEARNINGS.md - NEW file with 36 prevention rules
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- BOOTSTRAP.md - DELETED (moved to trash)
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- memory/RAMYA_OPTIMIZATIONS_SUMMARY.md - NEW implementation documentation
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**Task Status:** Updated to 'review' in Supabase
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**Key Rules Added to LEARNINGS.md:**
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- Always check task status before working
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- Never claim code is pushed without checking git status
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- Verify API endpoints work before marking complete
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- Write to disk after EVERY task
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- Run `/context detail` regularly (monthly audit)
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- All web apps must be responsive (mobile-first)
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- Switch git identity based on project owner
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- React like a human in group chats
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- Quality > Quantity in responses
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**Ramya's Principles Applied:**
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- "Every mistake the agent makes should become a one-line rule"
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- "Write discipline matters more than read discipline"
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- "Boot sequence MUST be at the TOP of AGENTS.md"
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- "Delete files that aren't doing anything"
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**Future Work (Not Yet Implemented):**
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- Memory flush configuration (compaction settings)
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- QMD hybrid search backend
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- Context pruning with TTL
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- Skills consolidation (60-70% token savings potential)
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---
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## Evening Session (Matt Active)
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### Research: Voxyz AI Company Architecture
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**Time:** 4:00 PM - 5:00 PM CST
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**Source:** https://x.com/Voxyz_ai/status/2019914775061270747
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**Researcher:** Max (main session)
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**What We Did Differently:**
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Instead of just summarizing, extracted actionable intelligence:
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- ✅ Immediate fixes (check token bloat today)
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- ✅ Specific configs (memory flush, QMD search)
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- ✅ Your context (Mission Control phases, current issues)
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- ✅ Code snippets (ready to copy-paste)
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- ✅ Action items (prioritized by urgency)
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- ✅ Pitfalls to avoid (learn from Ramya's mistakes)
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**Key Findings:**
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- 6 AI agents in pixel-art office (Minion, Sage, Scout, Quill, Xalt, Observer)
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- Closed loop: Propose → Auto-approve → Mission → Execute → Event → Trigger → React
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- Cap Gates prevent queue buildup
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- Reaction Matrix at 30% probability = human feel
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- Self-healing with 30-min stale detection
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- Policy-driven configuration in ops_policy table
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**Document Created:**
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- Location: `/Users/mattbruce/Documents/Projects/OpenClaw/Documents/Research/AI Agents/Voxyz - AI Company with OpenClaw.md`
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- Tags: research, ai, agents, openclaw, voxyz, automation
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- Saved in BOTH Documents folder AND Supabase
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---
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### Infrastructure: Supabase Table Naming Convention
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**Decision:** `<project_name>_<table_name>` with UNDERSCORES (no hyphens)
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**Rationale:** All Vercel apps share one Supabase project
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**Current State:**
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- Gantt Board: Legacy (no prefix) - tasks, projects, sprints
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- Blog Backup: `blog_messages`, `blog_tags`
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- Mission Control: `mission_control_documents`, `mission_control_folders`
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- Heartbeat Monitor: `heartbeat_status`
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**Critical Fix:** Changed from `mission-control_documents` to `mission_control_documents` (user corrected - no hyphens in SQL!)
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**Documentation:**
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- Created `DB_TABLE_NAMING.md` in workspace root
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- Updated `MEMORY.md` with quick reference
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- Added to `SPECIALIZED_AGENTS.md` (web-dev section)
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---
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### Migration: Mission Control Documents to Supabase
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**Action:** Moved from LocalStorage to Supabase backing
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**Table Created:** `mission_control_documents`
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**Documents Added:**
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1. Mission Control - Strategic Plan → Plans folder
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2. Voxyz - AI Company with OpenClaw → Research/AI Agents
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3. Ramya - OpenClaw Memory Debugging → Research/OpenClaw
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**Result:** Documents now in BOTH places:
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- Documents folder (Git, version controlled, editable)
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- Supabase (synced, searchable, cross-device)
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**Next Step:** Update Mission Control frontend to fetch from Supabase instead of LocalStorage
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---
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### Task Creation: Research → Actionable Work
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**Principle:** Every research document gets a corresponding task
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**Tasks Created:**
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| Task | Priority | ID | Status |
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|------|----------|-----|--------|
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| Implement Ramya's OpenClaw Memory Optimizations | 🔥 Urgent | f401df02... | Open (already existed) |
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| Apply Voxyz Autonomous Architecture to Phase 10 | Medium | [new] | Open |
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**Task Contents Include:**
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- Full context from research
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- Checklist of actions
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- Expected outcomes
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- Resource links
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- Success criteria
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---
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### Subagent Deployment
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**Time:** 6:10 PM CST
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**Spawned 2 Parallel Subagents:**
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1. **Ramya Memory Optimization** (web-dev)
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- Session: agent:main:subagent:ee82a9fd...
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- Working on: Token audit, BOOT.md check, AGENTS.md restructure, learnings creation
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- Timeout: 30 minutes
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2. **Voxyz Phase 10 Design** (web-dev)
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- Session: agent:main:subagent:9089d3a1...
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- Working on: Database schema, proposal service, Cap Gates, Reaction Matrix
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- Timeout: 30 minutes
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**Status:** Both running as of 6:16 PM
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---
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### Skills Created/Updated Today
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**Research Skills:**
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1. `tavily-web-research` - Web search via Tavily MCP
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2. `url-research-documents` - Fetch URL, summarize, save to documents
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3. `intelligent-article-research` - Actionable extraction (what we used for Voxyz/Ramya)
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**Pattern Established:**
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- Research → Document → Task
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- Always save to BOTH Documents folder AND Supabase
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- Extract: immediate fixes, configs, context, code snippets, action items, pitfalls
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---
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### Key Decisions Made Today
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1. **Table naming:** Underscores only, project prefix mandatory (except Gantt legacy)
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2. **Document storage:** Dual storage (Git + Supabase) for redundancy and searchability
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3. **Research workflow:** Actionable extraction, not just summaries
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4. **Subagent strategy:** Parallel work on independent tasks
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5. **Memory discipline:** Write after EVERY task, append to daily files (never overwrite)
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---
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### Files Modified Today (Complete List)
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**New Files:**
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- BRAIN.md
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- memory/LEARNINGS.md
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- memory/SKILLS_AUDIT.md
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- memory/heartbeat-state.json
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- memory/RAMYA_OPTIMIZATIONS_SUMMARY.md
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- OPTIMIZATION_SUMMARY.md
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- DB_TABLE_NAMING.md
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- Documents/Research/AI Agents/Voxyz - AI Company with OpenClaw.md
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- Documents/Research/OpenClaw/Ramya - OpenClaw Memory Debugging.md
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**Modified Files:**
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- AGENTS.md (major restructure)
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- SOUL.md (orchestrator pattern)
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- HEARTBEAT.md (rewritten for <3s checks)
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- SESSION_STARTUP.md (added BRAIN.md + LEARNINGS.md)
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- SPECIALIZED_AGENTS.md (added Supabase naming convention)
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- MEMORY.md (added table naming rules)
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- memory/2026-02-22.md (this file)
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**Deleted Files:**
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- BOOTSTRAP.md (moved to trash)
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---
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### Tomorrow's Priorities (If Subagents Complete)
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1. Review subagent results
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2. Implement any remaining Ramya optimizations
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3. Begin Voxyz Phase 10 implementation (if design complete)
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4. Update Mission Control frontend to use Supabase
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5. Continue Phases 6-9 (Tools, Activity, Projects, Polish)
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---
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### Backup Confirmation
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**All work saved to:**
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- ✅ Git repository (Documents folder, workspace files)
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- ✅ Supabase (tasks, documents)
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- ✅ Local memory files (memory/2026-02-22.md)
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- ✅ Skills (tavily-web-research, url-research-documents, intelligent-article-research)
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**Nothing will be lost.** All knowledge persists across sessions via:
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- Mandatory write discipline
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- Dual storage strategy
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- Version control (Git)
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- Database persistence (Supabase)
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