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openclaw-workspace-pro

// Production-ready workspace setup for OpenClaw agents. Implements artifact workflows, secrets management, memory compaction, and long-running agent patterns based on OpenAI's Shell + Skills best practices. One-command installation transforms your workspace into a production-ready environment.

$ git log --oneline --stat
stars:1,933
forks:367
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
nameopenclaw-workspace-pro
descriptionProduction-ready workspace setup for OpenClaw agents. Implements artifact workflows, secrets management, memory compaction, and long-running agent patterns based on OpenAI's Shell + Skills best practices. One-command installation transforms your workspace into a production-ready environment.
version1.0.0
authorEugene Devyatyh
repositoryhttps://github.com/Eugene9D/openclaw-workspace-pro
metadata[object Object]

OpenClaw Workspace Pro

Enterprise workspace setup for long-running OpenClaw agents.

What It Does

Transforms your OpenClaw workspace with production-ready patterns:

  • 🗂 Artifact Workflow - Standardized output structure for reports, code, data, and exports
  • 🔒 Secrets Management - Secure .env pattern, removes plaintext credentials
  • 🧠 Memory Compaction - Prevents context bloat with systematic archival workflow
  • 📦 Long-Running Patterns - Container reuse, checkpoint strategy, continuity protocols
  • 🛡 Security Baseline - Network allowlists, safe credential handling

Based on OpenAI's Shell + Skills + Compaction best practices.

Installation

clawhub install openclaw-workspace-pro

Or manual:

cd /data/.openclaw/workspace
git clone https://github.com/Eugene9D/openclaw-workspace-pro.git
cd openclaw-workspace-pro
./install.sh

What Gets Installed

Directory Structure

workspace/
├── artifacts/           # Standardized output location
│   ├── reports/        # Analysis, summaries, documentation
│   ├── code/           # Generated scripts, apps, configs
│   ├── data/           # Cleaned datasets, processed files
│   └── exports/        # API responses, database dumps
├── memory/
│   └── archive/        # Compressed memory summaries
├── .env                # Secrets (gitignored)
└── .gitignore          # Security

Documentation Added

  • AGENTS.md enhancements - Artifact workflow, long-run patterns, secrets management
  • MEMORY-COMPACTION.md - Weekly/monthly maintenance workflow
  • TOOLS.md additions - Network security allowlist

Templates

  • .env.example - Secrets template
  • .gitignore - Protect credentials

Usage

Artifacts Pattern

When producing deliverables:

# Reports
/data/.openclaw/workspace/artifacts/reports/YYYY-MM-DD-project-name.md

# Code
/data/.openclaw/workspace/artifacts/code/YYYY-MM-DD-script-name.py

# Data
/data/.openclaw/workspace/artifacts/data/YYYY-MM-DD-dataset.csv

Benefits:

  • Clear review boundaries
  • Easy retrieval
  • Version tracking
  • Prevents file sprawl

Secrets Management

Before Workspace Pro:

# TOOLS.md
API_KEY=sk-abc123xyz...  ❌ Plaintext, exposed in git

After Workspace Pro:

# .env (gitignored)
API_KEY=sk-abc123xyz...

# TOOLS.md
API Key: $API_KEY  ✅ Reference only

Memory Compaction

Prevents context bloat in long-running agents:

Weekly (when needed):

  1. Review daily logs from past 7-14 days
  2. Extract key insights → update MEMORY.md
  3. Remove outdated info

Monthly:

  1. Archive daily logs >30 days to memory/archive/YYYY-MM-summary.md
  2. Delete raw files after archival

See MEMORY-COMPACTION.md for full workflow.

Why Use This?

The Problem

Default OpenClaw workspaces:

  • ❌ Files scattered everywhere (no structure)
  • ❌ API keys in plaintext (security risk)
  • ❌ Memory grows indefinitely (context limits)
  • ❌ No artifact review boundaries
  • ❌ Manual maintenance (prone to drift)

The Solution

Workspace Pro implements OpenAI's recommended patterns:

  • ✅ Standardized artifact workflow
  • ✅ Secure secrets management
  • ✅ Systematic memory compaction
  • ✅ Long-running agent patterns
  • ✅ Clear operational workflows

Real Impact

Security: Eliminates credential exposure
Organization: Clear deliverable handoff points
Scalability: Handles months of continuous operation
Maintenance: Defined schedules prevent drift

Based on production patterns from:

  • OpenAI's long-running agent recommendations
  • Glean's enterprise skill deployments
  • OpenClaw community best practices

Configuration

Environment Variables (.env)

After installation, populate .env:

# Example: YouTube API
YOUTUBE_API_KEY=your_key_here
YOUTUBE_OAUTH_CLIENT_ID=your_id_here

# Example: Task Management
VIKUNJA_API_TOKEN=your_token_here

Network Security

Edit TOOLS.md network allowlist:

### Approved Domains
- *.googleapis.com (YouTube API)
- api.brave.com (search)
- tasks.playrockets.com (Vikunja)

Add new domains with security review.

Requirements

  • OpenClaw 2026.2.9+
  • Workspace directory: /data/.openclaw/workspace
  • Shell access (for installation)

Upgrading

cd /data/.openclaw/workspace/openclaw-workspace-pro
git pull
./install.sh

Uninstall

Workspace Pro is non-destructive. To remove:

# Remove added files (safe, preserves your data)
rm -rf artifacts/ memory/archive/
rm .env .gitignore MEMORY-COMPACTION.md

# Restore AGENTS.md, TOOLS.md from backup
cp AGENTS.md.backup AGENTS.md
cp TOOLS.md.backup TOOLS.md

Support

License

MIT License - See LICENSE file

Credits

Based on patterns from:

Built by Eugene Devyatyh for the OpenClaw ecosystem.


Version: 1.0.0
Updated: 2026-02-13
Compatibility: OpenClaw 2026.2.9+