Agent Deployment Checklist

Production deployment checklist for AI agent infrastructure. Covers Mac Mini and server deployment with 5-layer stack (base install, IAM config, client software, security hardening, onboarding), 5-file memory system pre-scaffolding, security baselines, starter crons, and day-1 onboarding. Use when deploying agents for clients or setting up new infrastructure. NOT for cloud/serverless deployments or containerized agents.

Production deployment framework for AI agent infrastructure on dedicated hardware (Mac Mini, Linux servers). Every deployment follows the same 5-layer stack, every time, no shortcuts.

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The 5-Layer Deployment Stack

Every agent deployment is five layers applied in order. No layer is optional. Each layer has a binary pass/fail gate before moving to the next.

Layer 1: Base OS + OpenClaw Install (Scripted)

Goal: Clean machine with OpenClaw runtime ready.

Checklist:

• Fresh OS install or verified clean state
• OS updates applied to latest stable
• Xcode Command Line Tools installed (macOS)
• Homebrew installed and updated (macOS)
• Node.js LTS installed via nvm
• Python 3.11+ installed
• Git configured with deploy key
• OpenClaw CLI installed and verified
• Claude Code installed and licensed
• Working directory created at ~/.openclaw/workspace
• SSH key pair generated for this machine

Script template:

bash

#!/bin/bash
# layer-1-base-install.sh
set -euo pipefail

echo "=== Layer 1: Base Install ==="

# macOS-specific
xcode-select --install 2>/dev/null || true
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew update && brew upgrade

# Runtime
brew install nvm python@3.11 git jq
nvm install --lts
nvm use --lts

# OpenClaw workspace
mkdir -p ~/.openclaw/workspace
cd ~/.openclaw/workspace
git init

echo "Layer 1 complete. Verify: node --version && python3 --version && git --version"

Gate: node --version returns LTS, python3 --version returns 3.11+, git status works in workspace directory.

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Layer 2: IAM Config (White-Glove)

Goal: Identity, access, and API keys configured for this specific client/deployment.

This layer is always done manually — never scripted — because every client's access pattern is different.

Checklist:

• API keys provisioned (Anthropic, OpenAI if needed)
• API keys stored in environment variables (never in files)
• .env file created with proper permissions (chmod 600)
• Client-specific service accounts created
• MCP server credentials configured
• GitHub/GitLab access tokens scoped to client repos only
• Email/calendar integrations authorized (OAuth tokens)
• QuickBooks / accounting integrations connected (if applicable)
• All credentials tested with a live API call
• Credential rotation schedule documented

Key principle: Client pays for their own API keys and licenses. We never share keys across clients.

bash

# Verify all credentials work
echo "Testing Anthropic API..."
curl -s https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model":"claude-sonnet-4-20250514","max_tokens":10,"messages":[{"role":"user","content":"ping"}]}' \
  | jq '.content[0].text'

echo "Testing GitHub access..."
gh auth status

Gate: Every configured API key returns a valid response. No 401s, no 403s.

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Layer 3: Client-Specific Software (Varies)

Goal: Install and configure whatever tools this specific client needs.

This layer varies per deployment. Common patterns:

For accounting/bookkeeping clients:

• QuickBooks MCP server configured (read-only by default)
• Financial reporting templates deployed
• Tax calendar crons scheduled

For marketing/content clients:

• CMS integrations connected
• Social media API access configured
• Analytics dashboards linked

For development team clients:

• CI/CD pipeline access configured
• Code review automation set up
• Deployment notification channels connected

For legal/compliance clients:

• Document management system access
• Compliance calendar configured
• Audit trail logging enabled

Gate: Client-specific test suite passes. Each integration returns expected data.

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Layer 4: Security Hardening (Every Deployment)

Goal: Lock down the machine to production security standards.

Checklist:

• Firewall enabled and configured (only required ports open)
• SSH hardening applied:
  • Password authentication disabled
  • Root login disabled
  • Key-only authentication enforced
  • Non-standard SSH port configured
• Disk encryption enabled (FileVault on macOS, LUKS on Linux)
• Automatic security updates enabled
• Fail2ban or equivalent installed and configured
• Log rotation configured
• File integrity monitoring enabled
• .env and credential files have 600 permissions
• No credentials in git history (verified with git log --all -p | grep -i "api_key\|secret\|password")
• SOUL, IDENTITY, USER, AGENTS files marked as sacred (never leave the environment)
• Outbound network allowlist configured (only known API endpoints)

macOS firewall script:

bash

#!/bin/bash
# layer-4-firewall.sh
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setglobalstate on
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setblockall on
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setallowsigned on
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setstealthmode on
echo "Firewall configured. Verify: sudo /usr/libexec/ApplicationFirewall/socketfilterfw --getglobalstate"

Gate: Security audit script returns grade A or B. No grade C or below passes.

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Layer 5: Onboarding — Day 1

Goal: Client can interact with their agent and sees value immediately.

Checklist:

• 5-file memory system scaffolded (see below)
• Starter crons installed and verified
• Health check running and reporting
• Client walkthrough completed (30-min live session)
• Client can ask agent a question and get a response
• First real task completed with client watching
• Emergency contact and escalation path documented
• Client has link to support channel
• Week-1 check-in scheduled

The Day-1 demo: Always do one real task live. Not a demo. Not a rehearsed script. Pick something from their actual workflow and do it. This is how you build trust.

Gate: Client has independently asked the agent a question and received a useful answer without help.

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Pre-Scaffolded 5-File Memory System

Every deployment starts with the same five files. They are empty templates, not boilerplate — the agent fills them in during operation.

SOUL.md Template

markdown

# SOUL

## Identity
You are [CLIENT_NAME]'s AI operations agent, deployed by IAM Solutions.

## Core Values
- Accuracy over speed
- Ask before assuming
- Protect client data absolutely
- Learn and improve continuously

## Boundaries
- Never share client data outside this environment
- Never execute financial transactions without explicit approval
- Never modify production systems without confirmation
- Escalate to human when uncertain

## Communication Style
[To be calibrated during onboarding based on client preference]

IDENTITY.md Template

markdown

# IDENTITY

## Deployment
- Deployed: [DATE]
- Hardware: [MACHINE_SPEC]
- Location: [PHYSICAL_OR_CLOUD_LOCATION]
- Managed by: IAM Solutions

## Capabilities
[Populated during Layer 3 based on installed integrations]

## Limitations
[Documented during onboarding based on what's explicitly out of scope]

USER.md Template

markdown

# USER

## Primary User
- Name: [CLIENT_NAME]
- Role: [CLIENT_ROLE]
- Communication preference: [EMAIL/SLACK/SMS]

## Access Pattern
[How and when the client typically interacts — populated after first week]

## Domain Knowledge
[What the client knows well vs. where they need more explanation — populated over time]

AGENTS.md Template

markdown

# AGENTS

## Active Agents
[List of running agents, their roles, and their schedules — populated during Layer 3]

## Agent Communication
[How agents coordinate, share memory, escalate — configured during deployment]

MEMORY.md Template

markdown

# MEMORY

Memory index for [CLIENT_NAME] deployment.
Created: [DATE]

## Memories
[Index populated as agent creates memories during operation]

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Starter Cron Templates

Every deployment gets these three crons minimum.

Health Check (Every 4 Hours)

bash

# health-check.cron
# Runs every 4 hours, reports system health
0 */4 * * * /path/to/health-check.sh >> /var/log/openclaw/health.log 2>&1

bash

#!/bin/bash
# health-check.sh
GRADE="A"
ISSUES=""

# Check disk space
DISK_USAGE=$(df -h / | awk 'NR==2 {print $5}' | tr -d '%')
if [ "$DISK_USAGE" -gt 90 ]; then GRADE="F"; ISSUES+="Disk >90%. ";
elif [ "$DISK_USAGE" -gt 80 ]; then GRADE="C"; ISSUES+="Disk >80%. "; fi

# Check memory
# Check API connectivity
# Check cron jobs running
# Check log file sizes

echo "$(date): Health Grade: $GRADE ${ISSUES:-No issues}"

Memory Maintenance (Daily at 2 AM)

bash

# memory-maintenance.cron
0 2 * * * /path/to/memory-maintenance.sh >> /var/log/openclaw/memory.log 2>&1

bash

#!/bin/bash
# memory-maintenance.sh
# Compress old session logs
# Archive memories older than 30 days
# Verify MEMORY.md index matches actual files
# Report memory file count and total size

MEMORY_DIR="$HOME/.openclaw/workspace/memory"
FILE_COUNT=$(find "$MEMORY_DIR" -name "*.md" | wc -l)
TOTAL_SIZE=$(du -sh "$MEMORY_DIR" | awk '{print $1}')
echo "$(date): Memory files: $FILE_COUNT, Total size: $TOTAL_SIZE"

Backup (Daily at 3 AM)

bash

# backup.cron
0 3 * * * /path/to/backup.sh >> /var/log/openclaw/backup.log 2>&1

bash

#!/bin/bash
# backup.sh
BACKUP_DIR="/backups/openclaw/$(date +%Y-%m-%d)"
mkdir -p "$BACKUP_DIR"

# Back up workspace (excluding node_modules, .git objects)
rsync -a --exclude='node_modules' --exclude='.git/objects' \
  "$HOME/.openclaw/workspace/" "$BACKUP_DIR/workspace/"

# Back up cron definitions
crontab -l > "$BACKUP_DIR/crontab.bak"

# Keep last 30 days of backups
find /backups/openclaw -maxdepth 1 -type d -mtime +30 -exec rm -rf {} \;

echo "$(date): Backup complete to $BACKUP_DIR"

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Hardware Requirements

Minimum (Single-Agent Deployment)

Component	Spec
CPU	Apple M1 or equivalent
RAM	16 GB
Storage	256 GB SSD
Network	Stable broadband, static IP preferred
UPS	Recommended for always-on deployments

Recommended (Multi-Agent Deployment)

Component	Spec
CPU	Apple M2 Pro / M4 or equivalent
RAM	32 GB
Storage	512 GB SSD
Network	Business-grade with failover
UPS	Required

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Network Configuration

text

Outbound allowlist (minimum):
- api.anthropic.com (Anthropic API)
- api.openai.com (if using OpenAI models)
- github.com (code repos)
- api.github.com (GitHub API)
- smtp.gmail.com (email, if applicable)
- quickbooks.api.intuit.com (QBO, if applicable)

Inbound:
- SSH on non-standard port (key-only)
- No other inbound ports required for typical deployments

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Post-Deployment Monitoring

Week 1: Daily Check-ins

• Is the agent responding correctly?
• Are crons running on schedule?
• Any errors in logs?
• Client satisfaction?

Weeks 2-4: Twice-Weekly

• Memory system growing appropriately?
• Performance stable?
• Any new integration needs?

Month 2+: Weekly

• Health grade trend
• Backup verification
• Security update status
• Client feature requests

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Deployment Anti-Patterns

Don't do these:

• Sharing API keys across clients. Every client pays for their own. No exceptions.
• Skipping Layer 4. "It's just a test deployment" is how breaches start.
• Copying another client's SOUL.md. Every deployment gets a fresh identity calibrated to the client.
• Enabling write access on day 1. Start read-only. Earn write access through demonstrated reliability.
• Deploying without a health check cron. If you can't monitor it, don't deploy it.
• Promising specific features before Layer 3. Scope the deployment, then promise.