erpclaw

What This Skill Does

ERPClaw is an AI-native Enterprise Resource Planning system designed specifically for small businesses. Unlike traditional, bloated ERP suites, ERPClaw is architected as a modular, local-first ecosystem comprising 29 distinct skills and over 609 individual actions. It operates entirely on your local machine using a single SQLite database (~/.openclaw/erpclaw/data.sqlite), ensuring that your sensitive business financial, inventory, and HR data never leaves your environment. It effectively bridges the gap between complex enterprise management software and the accessibility of a local AI agent.

Installation

Installation follows a tiered, modular approach to ensure system stability.

1. Begin by checking your current status: python3 {baseDir}/scripts/db_query.py --action check-installation.
2. Initiate the setup foundation: clawhub install erpclaw-setup erpclaw-gl. This installs the base configuration, chart of accounts, and general ledger.
3. Expand to core accounting by running: clawhub install erpclaw-journals erpclaw-payments erpclaw-tax erpclaw-reports.
4. For users wanting to test capabilities, run python3 {baseDir}/scripts/db_query.py --action seed-demo-data to populate the environment with sample transactions.

Use Cases

• Small Business Accounting: Manage your general ledger, tax rules, and financial reporting locally without monthly subscription fees.
• Inventory & Manufacturing: Track stock levels, bill of materials, and production cycles.
• Human Resources: Maintain employee records and payroll data within a secure, air-gapped system.
• CRM: Manage customer interactions and sales pipelines with a focus on data privacy.

Example Prompts

• "I need to get started with ERPClaw; can you run the installation guide for my small retail business?"
• "Help me create a new fiscal year and set up my chart of accounts for the upcoming quarter."
• "What is our current inventory status for high-priority items, and can you show me a summary report?"

Tips & Limitations

• Crucial Rule: Never attempt to run raw SQL queries. Always interface through db_query.py to ensure audit trails and cross-table joins remain intact. Direct database manipulation can corrupt your data integrity.
• Security: Since this is local-only, ensure you have a robust backup strategy for your data.sqlite file, as there is no cloud synchronization.
• Modular Growth: Only install the modules you need for your current operations to keep the database lightweight and performant.