userType: external

gitBranch: claude/intelligent-yalow

slug: swift-imagining-prism

type: user

role: user

content:
SPRINT TASK — 4AM AEST LAUNCH. Prepare the deployment package for the Elestio sunaiva-memory VPS.

## Goal: Create a production-ready deploy script

Read the current deploy/docker-compose.yml and prepare a complete deployment package.

```bash
# Read all relevant files
cat /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/docker-compose.yml
cat /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/pipeline/main.py 2>/dev/null | head -80
ls /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/ 2>/dev/null
ls /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/pipeline/ 2>/dev/null

# Check if pipeline Dockerfile exists
cat /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/pipeline/Dockerfile 2>/dev/null || echo "NO Dockerfile"

# Check what's in mcp/Dockerfile
cat /mnt/e/genesis-system/Sunaiva/ai-memory/mcp/Dockerfile 2>/dev/null || echo "NO mcp Dockerfile"

# Check server Dockerfile
cat /mnt/e/genesis-system/Sunaiva/ai-memory/server/Dockerfile 2>/dev/null || echo "NO server Dockerfile"
```

Now create a production .env file for the Elestio VPS deployment at:
/mnt/e/genesis-system/Sunaiva/ai-memory/deploy/.env.production

Content should include:
- FALKORDB_PASSWORD=sunaiva2026secure
- FALKORDB_DATABASE=sunaiva_memory
- GRAPHITI_GROUP_ID=default
- OPENAI_API_KEY=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
- OPENAI_BASE_URL=https://openrouter.ai/api/v1
- MODEL_NAME=google/gemini-2.0-flash-001
- CORS_ORIGINS=https://memory.sunaiva.ai,https://sunaiva.ai,http://localhost:3001

Also create a deploy script at /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/deploy_to_elestio.sh:
```bash
#!/bin/bash
# Deploy Sunaiva Memory Stack to Elestio VPS
# Usage: ./deploy_to_elestio.sh <VPS_IP> <SSH_PORT> <SSH_USER>
# This script: rsync files to VPS + docker compose up

VPS_IP=${1:-"TO_BE_SET"}
SSH_PORT=${2:-22222}
SSH_USER=${3:-root}

echo "=== Sunaiva Memory Stack Deploy ==="
echo "Target: ${SSH_USER}@${VPS_IP}:${SSH_PORT}"

# Create remote directory
ssh -p $SSH_PORT ${SSH_USER}@${VPS_IP} "mkdir -p /opt/sunaiva-memory"

# Sync deploy files
rsync -avz -e "ssh -p $SSH_PORT" \
  /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/ \
  ${SSH_USER}@${VPS_IP}:/opt/sunaiva-memory/

# Copy production env
scp -P $SSH_PORT /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/.env.production \
  ${SSH_USER}@${VPS_IP}:/opt/sunaiva-memory/.env

# Pull images and start
ssh -p $SSH_PORT ${SSH_USER}@${VPS_IP} << 'REMOTE'
cd /opt/sunaiva-memory
docker compose pull
docker compose up -d
docker compose ps
docker compose logs --tail=20
REMOTE

echo "=== Deploy complete ==="
echo "Health check: curl http://${VPS_IP}:8000/health"
```

Make it executable: chmod +x /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/deploy_to_elestio.sh

Also create a production docker-compose override at /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/docker-compose.prod.yml that:
1. Adds a nginx reverse proxy for HTTPS termination
2. Adds memory limits (memory-engine: 2g, pipeline: 512m)
3. Adds restart policies
4. Exposes only ports 80/443 externally (not raw 6379/8000)

Return all file contents created.


type: message

role: assistant

type: text

text: I'll read all the relevant files first, then create the deployment package.

service_tier: standard

type: assistant


Bash

command: cat /mnt/e/genesis-system/Sunaiva/ai-memory/deploy/docker-compose.yml 2>/dev/null || echo "FILE NOT FOUND"

description: Read existing docker-compose.yml

type: direct


type: progress

hookEvent: PreToolUse

command: wsl.exe -e python3 /mnt/e/genesis-system/.claude/hooks/pre_tool_check.py


output: FILE NOT FOUND

fullOutput: FILE NOT FOUND


hookEvent: PostToolUse

command: wsl.exe -e python3 /mnt/e/genesis-system/.claude/hooks/auto_respawn.py


command: wsl.exe -e python3 /mnt/e/genesis-system/.claude/hooks/observability_logger.py


command: wsl.exe -e python3 /mnt/e/genesis-system/.claude/hooks/session_heartbeat.py


command: wsl.exe -e python3 /mnt/e/genesis-system/.claude/hooks/thinking_block_monitor.py


command: wsl.exe -e python3 /mnt/e/genesis-system/.claude/hooks/weekly_usage_tracker.py


content: FILE NOT FOUND


command: ls /mnt/e/genesis-system/Sunaiva/ai-memory/ 2>/dev/null || echo "DIR NOT FOUND"

description: List Sunaiva ai-memory directory


content: DIR NOT FOUND


command: ls "E:/genesis-system/Sunaiva/" 2>/dev/null || echo "DIR NOT FOUND"

description: Check Sunaiva directory on Windows path


output:
voice-hub
voice-memory
website
website_factory
ZERO_TOUCH_SALES_PROTOCOL.md

fullOutput:
ai-memory
ARCHITECTURE_HIDING_IMPLEMENTATION.md
ARCHITECTURE_HIDING_PLAN.md
DNS_SETUP.md
email_sequences
fonts
GENESIS_RLM_INTEGRATION_ULTIMATE.md
LAUNCH_READINESS_AUDIT.md
marketing
memory_mcp
PATENT_PORTFOLIO_STRATEGY.md
SHIP_READINESS_REPORT.md
STRIPE_DASHBOARD_UPDATES_NEEDED.md
STRIPE_PRODUCTS.md
SUNAIVA_MASTER_VISION.md
talking-demos
talking-widget
templates
TRIPLE_GATE_CRYPTOGRAPHIC_MCP.md
VOICE_TO_TERMINAL_SETUP.md
voicebot-lander
voice-hub
voice-memory
website
website_factory
ZERO_TOUCH_SALES_PROTOCOL.md


content:
ai-memory
ARCHITECTURE_HIDING_IMPLEMENTATION.md
ARCHITECTURE_HIDING_PLAN.md
DNS_SETUP.md
email_sequences
fonts
GENESIS_RLM_INTEGRATION_ULTIMATE.md
LAUNCH_READINESS_AUDIT.md
marketing
memory_mcp
PATENT_PORTFOLIO_STRATEGY.md
SHIP_READINESS_REPORT.md
STRIPE_DASHBOARD_UPDATES_NEEDED.md
STRIPE_PRODUCTS.md
SUNAIVA_MASTER_VISION.md
talking-demos
talking-widget
templates
TRIPLE_GATE_CRYPTOGRAPHIC_MCP.md
VOICE_TO_TERMINAL_SETUP.md
voicebot-lander
voice-hub
voice-memory
website
website_factory
ZERO_TOUCH_SALES_PROTOCOL.md


command: ls "E:/genesis-system/Sunaiva/ai-memory/" 2>/dev/null && echo "---" && ls "E:/genesis-system/Sunaiva/ai-memory/deploy/" 2>/dev/null || echo "deploy DIR NOT FOUND"

description: List ai-memory and deploy directories


output:
test_e2e.sh
TEST_SUMMARY.txt
test_user_zero.py
VERIFY_HARDENING.sh
---

fullOutput:
_redirects
ARCHITECTURE.md
BACKEND_AUDIT.md
BACKEND_MVP_COMPLETE.md
CHECKLIST.md
data
DELIVERABLES.txt
DELIVERY_SUMMARY.md
deploy
deploy.sh
DEPLOY_INSTRUCTIONS.md
DEPLOY_NOW.md
DEPLOY_QUICK_START.md
deploy_sunaiva.sh
DEPLOYMENT.md
DEPLOYMENT_GUIDE.md
DEPLOYMENT_PACKAGE_READY.md
DEPLOYMENT_READY.txt
DEPLOYMENT_STATUS.md
DEPLOYMENT_STATUS_2026_02_16.md
deploy-to-railway.sh
deploy-vps.docker-compose.yml
docker-compose.prod.yml
docker-compose.yml
Dockerfile
Dockerfile.railway
E2E_TEST_REPORT.md
EXECUTIVE_SUMMARY.txt
EXTRACTION_LIMITATIONS.md
HARDENING_COMPLETE.md
HEALTH_CHECK_COMPLETE.md
index.html
INDEX.md
KINAN_ACTION_REQUIRED.md
KINAN_SUMMARY.md
LANDING_PAGE_UPDATES.md
mcp
netlify.toml
NETLIFY_DEPLOY.md
nginx.conf
preflight-check.sh
Procfile
QUICK_DEPLOY.md
QUICK_REFERENCE.md
quick-start.sh
railway.json
railway.toml
RAILWAY_DEPLOY.md
README.md
render.yaml
SECURITY_BLOCKERS_FIXED.md
SECURITY_HARDENING_REPORT.md
server
SESSION_23_DELIVERABLES.md
START_HERE.md
SUNAIVA_EVOLUTION_PLAN.md
swarm_generated
test_data
test_e2e.sh
TEST_SUMMARY.txt
test_user_zero.py
VERIFY_HARDENING.sh
---


content:
_redirects
ARCHITECTURE.md
BACKEND_AUDIT.md
BACKEND_MVP_COMPLETE.md
CHECKLIST.md
data
DELIVERABLES.txt
DELIVERY_SUMMARY.md
deploy
deploy.sh
DEPLOY_INSTRUCTIONS.md
DEPLOY_NOW.md
DEPLOY_QUICK_START.md
deploy_sunaiva.sh
DEPLOYMENT.md
DEPLOYMENT_GUIDE.md
DEPLOYMENT_PACKAGE_READY.md
DEPLOYMENT_READY.txt
DEPLOYMENT_STATUS.md
DEPLOYMENT_STATUS_2026_02_16.md
deploy-to-railway.sh
deploy-vps.docker-compose.yml
docker-compose.prod.yml
docker-compose.yml
Dockerfile
Dockerfile.railway
E2E_TEST_REPORT.md
EXECUTIVE_SUMMARY.txt
EXTRACTION_LIMITATIONS.md
HARDENING_COMPLETE.md
HEALTH_CHECK_COMPLETE.md
index.html
INDEX.md
KINAN_ACTION_REQUIRED.md
KINAN_SUMMARY.md
LANDING_PAGE_UPDATES.md
mcp
netlify.toml
NETLIFY_DEPLOY.md
nginx.conf
preflight-check.sh
Procfile
QUICK_DEPLOY.md
QUICK_REFERENCE.md
quick-start.sh
railway.json
railway.toml
RAILWAY_DEPLOY.md
README.md
render.yaml
SECURITY_BLOCKERS_FIXED.md
SECURITY_HARDENING_REPORT.md
server
SESSION_23_DELIVERABLES.md
START_HERE.md
SUNAIVA_EVOLUTION_PLAN.md
swarm_generated
test_data
test_e2e.sh
TEST_SUMMARY.txt
test_user_zero.py
VERIFY_HARDENING.sh
---
DEPLOY.md
docker-compose.yml
pipeline